From 2e3c44ca1464ce977a4a4941b16424b05dbeb178 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 3 Feb 2023 13:57:57 +0330 Subject: [PATCH 01/74] fix pageImages style --- _static/pages/01-python-introduction.jpg | Bin 113375 -> 82729 bytes _static/pages/02-python-setup.jpg | Bin 50647 -> 40592 bytes _static/pages/03-python-project-structure.jpg | Bin 163357 -> 114390 bytes _static/pages/04-python-interactive-mode.jpg | Bin 19720 -> 21065 bytes ...on-object-oriented-programming-concept.jpg | Bin 114168 -> 116236 bytes _static/pages/06-python-syntax.jpg | Bin 137085 -> 100757 bytes .../pages/07-python-built-in-data-types-1.jpg | Bin 109562 -> 88050 bytes .../pages/08-python-built-in-data-types-2.jpg | Bin 68262 -> 55551 bytes _static/pages/09-python-if-else-for-while.jpg | Bin 77739 -> 57372 bytes _static/pages/10-python-input-output-file.jpg | Bin 106914 -> 90779 bytes _static/pages/11-python-os-path-math.jpg | Bin 69105 -> 64359 bytes _static/pages/12-python-function.jpg | Bin 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.../sphinx_minoo_theme/includes/header.html | 2 +- ...{minoo-20210407.css => minoo-20230203.css} | 205 ++++-------------- lessons/l02.rst | 1 + lessons/l03.rst | 1 + lessons/l04.rst | 1 + lessons/l05.rst | 1 + lessons/l06.rst | 1 + lessons/l07.rst | 1 + lessons/l08.rst | 1 + lessons/l09.rst | 1 + lessons/l10.rst | 1 + lessons/l11.rst | 1 + lessons/l12.rst | 1 + lessons/l13.rst | 1 + lessons/l14.rst | 1 + lessons/l15.rst | 1 + lessons/l16.rst | 1 + lessons/l17.rst | 1 + lessons/l18.rst | 1 + lessons/l19.rst | 1 + lessons/l20.rst | 1 + lessons/l21.rst | 1 + lessons/l22.rst | 1 + lessons/l23.rst | 1 + lessons/l24.rst | 1 + lessons/l25.rst | 1 + 51 files changed, 69 insertions(+), 162 deletions(-) rename _templates/sphinx_minoo_theme/static/{minoo-20210407.css => minoo-20230203.css} (84%) diff --git a/_static/pages/01-python-introduction.jpg b/_static/pages/01-python-introduction.jpg index 72c451e9f03f8abc6047040a9085c980e65c1c0e..343f4c46ebe50fc8fe76cc59a7d552eb1218cdb2 100644 GIT binary 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zR@Go!EEP$5uMBVP{J;&*=y3OKEp-?~hDpHElIJFwWBSFQ$m;O` diff --git a/_templates/sphinx_minoo_theme/includes/header.html b/_templates/sphinx_minoo_theme/includes/header.html index 7ebcde3..da109bb 100644 --- a/_templates/sphinx_minoo_theme/includes/header.html +++ b/_templates/sphinx_minoo_theme/includes/header.html @@ -39,7 +39,7 @@ {% if theme_direction == "ltr" %} {% else %} - + {% endif %} {%- block linktags %} diff --git a/_templates/sphinx_minoo_theme/static/minoo-20210407.css b/_templates/sphinx_minoo_theme/static/minoo-20230203.css similarity index 84% rename from _templates/sphinx_minoo_theme/static/minoo-20210407.css rename to _templates/sphinx_minoo_theme/static/minoo-20230203.css index f201653..438d9f6 100644 --- a/_templates/sphinx_minoo_theme/static/minoo-20210407.css +++ b/_templates/sphinx_minoo_theme/static/minoo-20230203.css @@ -230,7 +230,6 @@ div[class^='highlight']{width:100%;display:inline-block} td{font-size:14px} tr.row-even{background-color:#F5F5F5;} - /* custome style */ ul li{text-align:justify} .red{color:#E65100} @@ -243,167 +242,51 @@ body{font-size:1.5rem} .reportmenufield:hover{border-right:5px #f48fb1 solid !important} .exercisesmenufield{background-color:#ef5350 !important} .exercisesmenufield:hover{border-right:5px #ef9a9a solid !important} -h1 a.toc-backref, h2 a.toc-backref{color:#fff !important} - - - -.footer-donate { - color: #fff !important; - background-color: #616161 !important; - padding:32px; - display: block; - width: 100%; - text-align:center; -} - -.footer-donate h3 { - border: none !important; - background: transparent; -color: #fff !important; -} - -.footer-donate p { - margin: 0 !important; - text-align: center !important; - font-size:14px; -} - -.footer-donate a.donate-box { -display: block; - width: 100%; - float: none; - padding: 1.5rem; - background-color: #4CAF50; - color: #fff; - font-weight: 800; - text-align: center; - font-size: 20px; - box-shadow: 0px 8px 15px rgba(0, 0, 0, 0.1); - height: auto; -} - -.footer-donate i { - font-size: 35px; -} - -i { - vertical-align: bottom !important; -} - - -.top-fixed .top-banner { - position: fixed; - background: #fff; - z-index: 9; - right: 0; - top: 0; - left: 0; - right: 18%; - - max-width: 772px; -} - -.top-banner { - -transition:all .2s ease; -} - -.top-fixed #body-donate { - margin-bottom:0; -} - -.top-fixed .text-content { -margin-top:100px; -} - -.donate-badge{ - position: fixed; - bottom: 12px; - z-index: 999999; - left: 40px; - display:none; - transition:all .2s ease; -} - -.donate-badge.active { - display:block; -} - -#sidebar-bottom-list ul li { - font-size: 12px; -text-align: inherit; -} - -.toctree-wrapper ul li { -text-align: inherit; -} - -.side-top-link { - color: #fff; - text-align: center; - display: block; - padding: 8px; - position: fixed; - bottom: 38px; - background: #5C6BC0; - width: 300px; - right: -300px; - font-size: 85%; -} +h1 a.toc-backref h2 a.toc-backref{color:#fff !important} +.footer-donate {color:#fff !important;background-color:#616161 !important;padding:32px;display:block;width:100%;text-align:center;} +.footer-donate h3{border:none !important;background:transparent;color:#fff !important;} +.footer-donate p{margin:0 !important;text-align:center !important;font-size:14px;} +.footer-donate a.donate-box{display:block;width:100%;float:none;padding:1.5rem;background-color:#4CAF50;color:#fff;font-weight:800;text-align:center;font-size:20px;box-shadow:0px 8px 15px rgba(0, 0, 0, 0.1);height:auto;} +.footer-donate i{font-size:35px;} +i{vertical-align:bottom !important;} +.top-fixed .top-banner{position:fixed;background:#fff;z-index:9;right:0;top: 0;left:0;right:18%;max-width:772px;} +.top-banner{transition:all .2s ease;} +.top-fixed #body-donate{margin-bottom:0;} +.top-fixed .text-content{margin-top:100px;} +.donate-badge{position:fixed;bottom: 12px;z-index: 999999;left:40px;display:none;transition:all .2s ease;} +.donate-badge.active{display:block;} +#sidebar-bottom-list ul li{font-size:12px;text-align:inherit;} +.toctree-wrapper ul li{text-align:inherit;} +.side-top-link{color:#fff;text-align:center;display:block;padding:8px;position:fixed;bottom:38px;background:#5C6BC0;width:300px;right:-300px;font-size:85%;} #page.toggled .side-top-link{right:0} +.top-links{display:inline-block;float:left;height:32px;width:auto;} +.top-links a{display:block;height:32px;width:auto;padding:2px 10px;cursor:pointer;color:#fff;} +.top-red a{background-color:#b41474;} +.top-green a{background-color:#4CAF50;margin:0px 2px;} +.top-blue a{background-color:#009ca7;} +.top-red a:hover,.top-green a:hover,.top-blue a:hover{color:#000;} +ul li p:last-child{margin-bottom: 24px !important;} +a.side-donate{background-color:#66BB6A;margin:0px 2px;color:white;padding:2px 10px;} +a.hover{background-color:#4CAF50;} +@media screen and (max-width:768px){.top-red{display:none !important;}} +.page-image{max-height:100%;max-width:100%;height:auto;display:inline-block;} - - -.top-links { - display:inline-block;float:left;height:32px;width:auto; -} -.top-links a { - display:block;height:32px;width:auto;padding:2px 10px;cursor:pointer;color:#fff; -} -.top-red a { - background-color:#b41474; -} -.top-green a { - background-color:#4CAF50; - margin:0px 2px; -} -.top-blue a { - background-color:#009ca7; -} -.top-red a:hover, .top-green a:hover, .top-blue a:hover{color:#000;} -@media screen and (max-width: 768px) { - .top-red{display:none !important;} -} - -ul li p:last-child {margin-bottom: 24px !important;} - -a.side-donate{ - background-color: #66BB6A; - margin: 0px 2px; - color: white; - padding: 2px 10px; -} - -a.hover{ - background-color: #4CAF50; -} /* -------- make other colors -------- */ - -.toctree-wrapper li.make-red >a {background-color: #ec407a;} -.toctree-wrapper .make-red >a:hover {border-right: 5px #f48fb1 solid;} -.toctree-wrapper li.make-red.toctree-l1 i {color: #f48fb1!important;} -.toctree-wrapper li.make-red>ul>li>a {background-color: #f48fb1;} -.toctree-wrapper li.make-red>ul>li>a:hover {border-right: 5px #ec407a solid;} - -.toctree-wrapper li.make-green >a {background-color: #00695c;} -.toctree-wrapper .make-green >a:hover {border-right: 5px #4db6ac solid;} -.toctree-wrapper li.make-green.toctree-l1 i {color: #4db6ac!important;} -.toctree-wrapper li.make-green>ul>li>a {background-color: #4db6ac;} -.toctree-wrapper li.make-green>ul>li>a:hover {border-right: 5px #00695c solid;} - -.toctree-wrapper li.make-black >a {background-color: #37474f;} -.toctree-wrapper .make-black >a:hover {border-right: 5px #90a4ae solid;} -.toctree-wrapper li.make-black.toctree-l1 i {color: #90a4ae!important;} -.toctree-wrapper li.make-black>ul>li>a {background-color: #90a4ae;} -.toctree-wrapper li.make-black>ul>li>a:hover {border-right: 5px #37474f solid;} +.toctree-wrapper li.make-red >a{background-color:#ec407a;} +.toctree-wrapper .make-red >a:hover{border-right:5px #f48fb1 solid;} +.toctree-wrapper li.make-red.toctree-l1 i{color:#f48fb1!important;} +.toctree-wrapper li.make-red>ul>li>a{background-color:#f48fb1;} +.toctree-wrapper li.make-red>ul>li>a:hover{border-right:5px #ec407a solid;} + +.toctree-wrapper li.make-green >a{background-color:#00695c;} +.toctree-wrapper .make-green >a:hover{border-right:5px #4db6ac solid;} +.toctree-wrapper li.make-green.toctree-l1 i{color:#4db6ac!important;} +.toctree-wrapper li.make-green>ul>li>a{background-color:#4db6ac;} +.toctree-wrapper li.make-green>ul>li>a:hover{border-right:5px #00695c solid;} + +.toctree-wrapper li.make-black >a{background-color:#37474f;} +.toctree-wrapper .make-black >a:hover{border-right:5px #90a4ae solid;} +.toctree-wrapper li.make-black.toctree-l1 i{color:#90a4ae!important;} +.toctree-wrapper li.make-black>ul>li>a{background-color:#90a4ae;} +.toctree-wrapper li.make-black>ul>li>a:hover{border-right:5px #37474f solid;} diff --git a/lessons/l02.rst b/lessons/l02.rst index 6e7cf4c..e6bcf30 100644 --- a/lessons/l02.rst +++ b/lessons/l02.rst @@ -12,6 +12,7 @@ .. figure:: /_static/pages/02-python-setup.jpg :align: center :alt: نصب و راه‌اندازی پایتون + :class: page-image Photo by `Bermix Studio `__ diff --git a/lessons/l03.rst b/lessons/l03.rst index 2d51160..326836e 100644 --- a/lessons/l03.rst +++ b/lessons/l03.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/03-python-project-structure.jpg :align: center :alt: چگونگی ایجاد و اجرای یک پروژه پایتون + :class: page-image Photo by `Sam Moqadam `__ diff --git a/lessons/l04.rst b/lessons/l04.rst index 16841e6..e4c15ab 100644 --- a/lessons/l04.rst +++ b/lessons/l04.rst @@ -13,6 +13,7 @@ .. figure:: /_static/pages/04-python-interactive-mode.jpg :align: center :alt: برنامه‌نویسی تعاملی با پایتون (interactive) + :class: page-image Photo by `Anton Maksimov juvnsky `__ diff --git a/lessons/l05.rst b/lessons/l05.rst index 9e40657..3b5b6e7 100644 --- a/lessons/l05.rst +++ b/lessons/l05.rst @@ -12,6 +12,7 @@ .. figure:: /_static/pages/05-python-object-oriented-programming-concept.jpg :align: center :alt: مفهوم شی گرایی (Object-Oriented Programming) + :class: page-image Photo by `Lucas Benjamin `__ diff --git a/lessons/l06.rst b/lessons/l06.rst index e0868ab..d49e6ae 100644 --- a/lessons/l06.rst +++ b/lessons/l06.rst @@ -12,6 +12,7 @@ .. figure:: /_static/pages/06-python-syntax.jpg :align: center :alt: سینتکس یا دستور نحو زبان پایتون + :class: page-image Photo by `Tim J `__ diff --git a/lessons/l07.rst b/lessons/l07.rst index ac60f89..70dfc1d 100644 --- a/lessons/l07.rst +++ b/lessons/l07.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/07-python-built-in-data-types-1.jpg :align: center :alt: انواع داده یا شی در پایتون: عددی و رشته + :class: page-image Photo by `Kristian Strand `__ diff --git a/lessons/l08.rst b/lessons/l08.rst index 0639298..60b80f5 100644 --- a/lessons/l08.rst +++ b/lessons/l08.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/08-python-built-in-data-types-2.jpg :align: center :alt: انواع داده یا شی در پایتون: set ،dict ،tuple، list و None + :class: page-image Photo by `Natalia Y `__ diff --git a/lessons/l09.rst b/lessons/l09.rst index 1d2f5c0..56c87be 100644 --- a/lessons/l09.rst +++ b/lessons/l09.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/09-python-if-else-for-while.jpg :align: center :alt: دستورهای کنترلی در پایتون + :class: page-image Photo by `Lynda Sanchez `__ diff --git a/lessons/l10.rst b/lessons/l10.rst index 9a6ea83..8d4797f 100644 --- a/lessons/l10.rst +++ b/lessons/l10.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/10-python-input-output-file.jpg :align: center :alt: فایل، ورودی و خروجی در پایتون - input, print, file + :class: page-image Photo by `Mr Cup / Fabien Barral `__ diff --git a/lessons/l11.rst b/lessons/l11.rst index e0f2fd1..3e04993 100644 --- a/lessons/l11.rst +++ b/lessons/l11.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/11-python-os-path-math.jpg :align: center :alt: کتابخانه استاندارد پایتون: math و os + :class: page-image Photo by `Yousef Espanioly `__ diff --git a/lessons/l12.rst b/lessons/l12.rst index 604c179..7f6f189 100644 --- a/lessons/l12.rst +++ b/lessons/l12.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/12-python-function.jpg :align: center :alt: تابع در پایتون: تعریف، ارسال و تطابق آرگومان‌ها + :class: page-image Photo by `Josue Isai Ramos Figueroa `__ diff --git a/lessons/l13.rst b/lessons/l13.rst index 479e0ab..0a0acd5 100644 --- a/lessons/l13.rst +++ b/lessons/l13.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/13-python-function-decorator-generator-coroutine-lambda.jpg :align: center :alt: تابع در پایتون: Coroutine ،Generator ،Decorator‌ و lambda + :class: page-image Photo by `Bill Oxford `__ diff --git a/lessons/l14.rst b/lessons/l14.rst index 6ae9a3e..7ec4f15 100644 --- a/lessons/l14.rst +++ b/lessons/l14.rst @@ -12,6 +12,7 @@ .. figure:: /_static/pages/14-python-function-recursive-memoization.jpg :align: center :alt: تابع در پایتون: تابع بازگشتی (Recursive) و Memoization + :class: page-image Photo by `Dan Freeman `__ diff --git a/lessons/l15.rst b/lessons/l15.rst index 97a8f4b..cf13702 100644 --- a/lessons/l15.rst +++ b/lessons/l15.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/15-python-regex-1.jpg :align: center :alt: عبارات با قاعده (Regular Expression) یا RegEx در پایتون + :class: page-image Photo by `Ehud Neuhaus `__ diff --git a/lessons/l16.rst b/lessons/l16.rst index d3b453c..0a6ef65 100644 --- a/lessons/l16.rst +++ b/lessons/l16.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/16-python-regex-re.jpg :align: center :alt: کتابخانه استاندارد پایتون: re + :class: page-image Photo by `Markus Winkler `__ diff --git a/lessons/l17.rst b/lessons/l17.rst index 1ebe440..4fde805 100644 --- a/lessons/l17.rst +++ b/lessons/l17.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/17-python-object-oriented-programming-class-object.jpg :align: center :alt: شی گرایی (OOP) در پایتون: تعریف کلاس و ایجاد شی + :class: page-image Photo by `Sarah Kilian `__ diff --git a/lessons/l18.rst b/lessons/l18.rst index 4985227..3558573 100644 --- a/lessons/l18.rst +++ b/lessons/l18.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/18-python-object-oriented-programming-inheritance-mro-mixin.jpg :align: center :alt: شی گرایی (OOP) در پایتون: وراثت (Inheritance)، Association و Mixin + :class: page-image Photo by `Vidar Nordli-Mathisen `__ diff --git a/lessons/l19.rst b/lessons/l19.rst index 60e89dc..db92567 100644 --- a/lessons/l19.rst +++ b/lessons/l19.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/19-python-object-oriented-programming-abstraction-metaclass.jpg :align: center :alt: شی گرایی (OOP) در پایتون: متا کلاس (Metaclass) و انتزاع (Abstraction) + :class: page-image Photo by `Giancarlo Revolledo `__ diff --git a/lessons/l20.rst b/lessons/l20.rst index b394a34..b5ee47b 100644 --- a/lessons/l20.rst +++ b/lessons/l20.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/20-python-object-oriented-programming-polymorphism-encapsulation.jpg :align: center :alt: شی گرایی (OOP) در پایتون: Encapsulation و چندریختی (Polymorphism) + :class: page-image Photo by `sanjiv nayak `__ diff --git a/lessons/l21.rst b/lessons/l21.rst index cf58c71..4c45e5c 100644 --- a/lessons/l21.rst +++ b/lessons/l21.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/21-python-object-oriented-programming-property-descriptors.jpg :align: center :alt: شی گرایی (OOP) در پایتون: __Descriptors ، Context Manager ،Decorator ،__slots و property@ + :class: page-image Photo by `Mathyas Kurmann `__ diff --git a/lessons/l22.rst b/lessons/l22.rst index 672a230..7ddaf51 100644 --- a/lessons/l22.rst +++ b/lessons/l22.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/22-python-object-oriented-programming-type-hinting-data-class.jpg :align: center :alt: شی گرایی (OOP) در پایتون: Type Hinting و دیتا کلاس (Data Class) + :class: page-image Photo by `Stefan Widua `__ diff --git a/lessons/l23.rst b/lessons/l23.rst index e6c51d1..9bcd03c 100644 --- a/lessons/l23.rst +++ b/lessons/l23.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/23-python-exception-error-warning-try.jpg :align: center :alt: مدیریت خطا در پایتون: Exception ،Traceback و Exception Handling و try/except/else/finally + :class: page-image Photo by `krakenimages `__ diff --git a/lessons/l24.rst b/lessons/l24.rst index 6c3a69e..b12d16f 100644 --- a/lessons/l24.rst +++ b/lessons/l24.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/24-python-raise-exception-warning-assertion.jpg :align: center :alt: مدیریت خطا در پایتون:Warning ،raise Exception و Assertion + :class: page-image Photo by `Sandy Manoa `__ diff --git a/lessons/l25.rst b/lessons/l25.rst index bd1afdc..b1d28df 100644 --- a/lessons/l25.rst +++ b/lessons/l25.rst @@ -11,6 +11,7 @@ .. figure:: /_static/pages/25-python-date-time-calendar.jpg :align: center :alt: زمان در پایتون: ماژول‌ datetime و timezone, timedelta, tzinfo + :class: page-image Photo by `Niloofar Kanani `__ From 2d4ebed6c4d70642e4779f15138ea80ca1d75b42 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Wed, 29 Mar 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index 1eb4977..d0c3cbf 100644 --- a/Makefile +++ b/Makefile @@ -1,192 +1,20 @@ -# Makefile for Sphinx documentation +# Minimal makefile for Sphinx documentation # -# You can set these variables from the command line. -SPHINXOPTS = -SPHINXBUILD = sphinx-build -PAPER = -BUILDDIR = _build - -# User-friendly check for sphinx-build -ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) -$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/) -endif - -# Internal variables. -PAPEROPT_a4 = -D latex_paper_size=a4 -PAPEROPT_letter = -D latex_paper_size=letter -ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . -# the i18n builder cannot share the environment and doctrees with the others -I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . - -.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest coverage gettext +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build +# Put it first so that "make" without argument is like "make help". help: - @echo "Please use \`make ' where is one of" - @echo " html to make standalone HTML files" - @echo " dirhtml to make HTML files named index.html in directories" - @echo " singlehtml to make a single large HTML file" - @echo " pickle to make pickle files" - @echo " json to make JSON files" - @echo " htmlhelp to make HTML files and a HTML help project" - @echo " qthelp to make HTML files and a qthelp project" - @echo " applehelp to make an Apple Help Book" - @echo " devhelp to make HTML files and a Devhelp project" - @echo " epub to make an epub" - @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" - @echo " latexpdf to make LaTeX files and run them through pdflatex" - @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" - @echo " text to make text files" - @echo " man to make manual pages" - @echo " texinfo to make Texinfo files" - @echo " info to make Texinfo files and run them through makeinfo" - @echo " gettext to make PO message catalogs" - @echo " changes to make an overview of all changed/added/deprecated items" - @echo " xml to make Docutils-native XML files" - @echo " pseudoxml to make pseudoxml-XML files for display purposes" - @echo " linkcheck to check all external links for integrity" - @echo " doctest to run all doctests embedded in the documentation (if enabled)" - @echo " coverage to run coverage check of the documentation (if enabled)" - -clean: - rm -rf $(BUILDDIR)/* - -html: - $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html - @echo - @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." - -dirhtml: - $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml - @echo - @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." - -singlehtml: - $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml - @echo - @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." - -pickle: - $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle - @echo - @echo "Build finished; now you can process the pickle files." - -json: - $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json - @echo - @echo "Build finished; now you can process the JSON files." - -htmlhelp: - $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp - @echo - @echo "Build finished; now you can run HTML Help Workshop with the" \ - ".hhp project file in $(BUILDDIR)/htmlhelp." - -qthelp: - $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp - @echo - @echo "Build finished; now you can run "qcollectiongenerator" with the" \ - ".qhcp project file in $(BUILDDIR)/qthelp, like this:" - @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/PythonPersianTutorial.qhcp" - @echo "To view the help file:" - @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/PythonPersianTutorial.qhc" - -applehelp: - $(SPHINXBUILD) -b applehelp $(ALLSPHINXOPTS) $(BUILDDIR)/applehelp - @echo - @echo "Build finished. The help book is in $(BUILDDIR)/applehelp." - @echo "N.B. You won't be able to view it unless you put it in" \ - "~/Library/Documentation/Help or install it in your application" \ - "bundle." - -devhelp: - $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp - @echo - @echo "Build finished." - @echo "To view the help file:" - @echo "# mkdir -p $$HOME/.local/share/devhelp/PythonPersianTutorial" - @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/PythonPersianTutorial" - @echo "# devhelp" - -epub: - $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub - @echo - @echo "Build finished. The epub file is in $(BUILDDIR)/epub." - -latex: - $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex - @echo - @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." - @echo "Run \`make' in that directory to run these through (pdf)latex" \ - "(use \`make latexpdf' here to do that automatically)." - -latexpdf: - $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex - @echo "Running LaTeX files through pdflatex..." - $(MAKE) -C $(BUILDDIR)/latex all-pdf - @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." - -latexpdfja: - $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex - @echo "Running LaTeX files through platex and dvipdfmx..." - $(MAKE) -C $(BUILDDIR)/latex all-pdf-ja - @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." - -text: - $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text - @echo - @echo "Build finished. The text files are in $(BUILDDIR)/text." - -man: - $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man - @echo - @echo "Build finished. The manual pages are in $(BUILDDIR)/man." - -texinfo: - $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo - @echo - @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." - @echo "Run \`make' in that directory to run these through makeinfo" \ - "(use \`make info' here to do that automatically)." - -info: - $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo - @echo "Running Texinfo files through makeinfo..." - make -C $(BUILDDIR)/texinfo info - @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." - -gettext: - $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale - @echo - @echo "Build finished. The message catalogs are in $(BUILDDIR)/locale." - -changes: - $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes - @echo - @echo "The overview file is in $(BUILDDIR)/changes." - -linkcheck: - $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck - @echo - @echo "Link check complete; look for any errors in the above output " \ - "or in $(BUILDDIR)/linkcheck/output.txt." - -doctest: - $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest - @echo "Testing of doctests in the sources finished, look at the " \ - "results in $(BUILDDIR)/doctest/output.txt." - -coverage: - $(SPHINXBUILD) -b coverage $(ALLSPHINXOPTS) $(BUILDDIR)/coverage - @echo "Testing of coverage in the sources finished, look at the " \ - "results in $(BUILDDIR)/coverage/python.txt." + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) -xml: - $(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml - @echo - @echo "Build finished. The XML files are in $(BUILDDIR)/xml." +.PHONY: help Makefile -pseudoxml: - $(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml - @echo - @echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml." +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/conf.py b/conf.py deleted file mode 100644 index b3bf58f..0000000 --- a/conf.py +++ /dev/null @@ -1,284 +0,0 @@ -# -*- coding: utf-8 -*- -# -# PythonPersianTutorial documentation build configuration file, created by -# sphinx-quickstart on Fri Apr 10 21:44:04 2015. -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -import sys -import os -import shlex - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -#sys.path.insert(0, os.path.abspath('.')) - -# -- General configuration ------------------------------------------------ - -# If your documentation needs a minimal Sphinx version, state it here. -#needs_sphinx = '1.0' - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [] - -# Add any paths that contain templates here, relative to this directory. -templates_path = ['_templates'] - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -# source_suffix = ['.rst', '.md'] -source_suffix = '.rst' - -# The encoding of source files. -#source_encoding = 'utf-8-sig' - -# The master toctree document. -master_doc = 'index' - -# General information about the project. -project = u'کتاب آزاد آموزش زبان برنامه‌نویسی پایتون' -copyright = u'2015, Saeid Darvish' -author = u'Saeid Darvish' - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The short X.Y version. -version = '' -# The full version, including alpha/beta/rc tags. -release = '' - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = 'fa' - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -#today = '' -# Else, today_fmt is used as the format for a strftime call. -#today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ['_build'] - -# The reST default role (used for this markup: `text`) to use for all -# documents. -#default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -#add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -#add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -#show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = 'sphinx' - -# A list of ignored prefixes for module index sorting. -#modindex_common_prefix = [] - -# If true, keep warnings as "system message" paragraphs in the built documents. -#keep_warnings = False - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = False - - -# -- Options for HTML output ---------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = 'sphinx_minoo_theme' - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -#html_theme_options = {} - -# Add any paths that contain custom themes here, relative to this directory. -html_theme_path = ['_templates'] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -html_title = project - -# A shorter title for the navigation bar. Default is the same as html_title. -#html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -#html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -#html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ['_static'] - -# Add any extra paths that contain custom files (such as robots.txt or -# .htaccess) here, relative to this directory. These files are copied -# directly to the root of the documentation. -#html_extra_path = [] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -#html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -#html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -#html_additional_pages = {} - -# If false, no module index is generated. -#html_domain_indices = True - -# If false, no index is generated. -#html_use_index = True - -# If true, the index is split into individual pages for each letter. -#html_split_index = False - -# If true, links to the reST sources are added to the pages. -#html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -#html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -#html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -#html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -#html_file_suffix = None - -# Language to be used for generating the HTML full-text search index. -# Sphinx supports the following languages: -# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' -# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' -html_search_language = 'en' - -# A dictionary with options for the search language support, empty by default. -# Now only 'ja' uses this config value -#html_search_options = {'type': 'default'} - -# The name of a javascript file (relative to the configuration directory) that -# implements a search results scorer. If empty, the default will be used. -#html_search_scorer = 'scorer.js' - -# Output file base name for HTML help builder. -htmlhelp_basename = 'PythonPersianTutorialdoc' - -# -- Options for LaTeX output --------------------------------------------- - -latex_elements = { -# The paper size ('letterpaper' or 'a4paper'). -#'papersize': 'letterpaper', - -# The font size ('10pt', '11pt' or '12pt'). -#'pointsize': '10pt', - -# Additional stuff for the LaTeX preamble. -#'preamble': '', - -# Latex figure (float) alignment -#'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, -# author, documentclass [howto, manual, or own class]). -latex_documents = [ - (master_doc, 'PythonPersianTutorial.tex', u'PythonPersianTutorial Documentation', - u'Saeid Darvish', 'manual'), -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -#latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -#latex_use_parts = False - -# If true, show page references after internal links. -#latex_show_pagerefs = False - -# If true, show URL addresses after external links. -#latex_show_urls = False - -# Documents to append as an appendix to all manuals. -#latex_appendices = [] - -# If false, no module index is generated. -#latex_domain_indices = True - - -# -- Options for manual page output --------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - (master_doc, 'pythonpersiantutorial', u'PythonPersianTutorial Documentation', - [author], 1) -] - -# If true, show URL addresses after external links. -#man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - (master_doc, 'PythonPersianTutorial', u'PythonPersianTutorial Documentation', - author, 'PythonPersianTutorial', 'One line description of project.', - 'Miscellaneous'), -] - -# Documents to append as an appendix to all manuals. -#texinfo_appendices = [] - -# If false, no module index is generated. -#texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -#texinfo_show_urls = 'footnote' - -# If true, do not generate a @detailmenu in the "Top" node's menu. -#texinfo_no_detailmenu = False diff --git a/make.bat b/make.bat index c062e90..747ffb7 100644 --- a/make.bat +++ b/make.bat @@ -1,62 +1,16 @@ @ECHO OFF +pushd %~dp0 + REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) -set BUILDDIR=_build -set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% . -set I18NSPHINXOPTS=%SPHINXOPTS% . -if NOT "%PAPER%" == "" ( - set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% - set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS% -) - -if "%1" == "" goto help - -if "%1" == "help" ( - :help - echo.Please use `make ^` where ^ is one of - echo. html to make standalone HTML files - echo. dirhtml to make HTML files named index.html in directories - echo. singlehtml to make a single large HTML file - echo. pickle to make pickle files - echo. json to make JSON files - echo. htmlhelp to make HTML files and a HTML help project - echo. qthelp to make HTML files and a qthelp project - echo. devhelp to make HTML files and a Devhelp project - echo. epub to make an epub - echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter - echo. text to make text files - echo. man to make manual pages - echo. texinfo to make Texinfo files - echo. gettext to make PO message catalogs - echo. changes to make an overview over all changed/added/deprecated items - echo. xml to make Docutils-native XML files - echo. pseudoxml to make pseudoxml-XML files for display purposes - echo. linkcheck to check all external links for integrity - echo. doctest to run all doctests embedded in the documentation if enabled - echo. coverage to run coverage check of the documentation if enabled - goto end -) - -if "%1" == "clean" ( - for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i - del /q /s %BUILDDIR%\* - goto end -) - - -REM Check if sphinx-build is available and fallback to Python version if any -%SPHINXBUILD% 2> nul -if errorlevel 9009 goto sphinx_python -goto sphinx_ok +set SOURCEDIR=source +set BUILDDIR=build -:sphinx_python - -set SPHINXBUILD=python -m sphinx.__init__ -%SPHINXBUILD% 2> nul +%SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx @@ -65,199 +19,17 @@ if errorlevel 9009 ( echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from - echo.http://sphinx-doc.org/ + echo.https://www.sphinx-doc.org/ exit /b 1 ) -:sphinx_ok - - -if "%1" == "html" ( - %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/html. - goto end -) - -if "%1" == "dirhtml" ( - %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. - goto end -) - -if "%1" == "singlehtml" ( - %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml. - goto end -) - -if "%1" == "pickle" ( - %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can process the pickle files. - goto end -) - -if "%1" == "json" ( - %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can process the JSON files. - goto end -) - -if "%1" == "htmlhelp" ( - %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can run HTML Help Workshop with the ^ -.hhp project file in %BUILDDIR%/htmlhelp. - goto end -) - -if "%1" == "qthelp" ( - %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can run "qcollectiongenerator" with the ^ -.qhcp project file in %BUILDDIR%/qthelp, like this: - echo.^> qcollectiongenerator %BUILDDIR%\qthelp\PythonPersianTutorial.qhcp - echo.To view the help file: - echo.^> assistant -collectionFile %BUILDDIR%\qthelp\PythonPersianTutorial.ghc - goto end -) - -if "%1" == "devhelp" ( - %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. - goto end -) - -if "%1" == "epub" ( - %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The epub file is in %BUILDDIR%/epub. - goto end -) - -if "%1" == "latex" ( - %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. - goto end -) - -if "%1" == "latexpdf" ( - %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex - cd %BUILDDIR%/latex - make all-pdf - cd %~dp0 - echo. - echo.Build finished; the PDF files are in %BUILDDIR%/latex. - goto end -) - -if "%1" == "latexpdfja" ( - %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex - cd %BUILDDIR%/latex - make all-pdf-ja - cd %~dp0 - echo. - echo.Build finished; the PDF files are in %BUILDDIR%/latex. - goto end -) - -if "%1" == "text" ( - %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The text files are in %BUILDDIR%/text. - goto end -) - -if "%1" == "man" ( - %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The manual pages are in %BUILDDIR%/man. - goto end -) - -if "%1" == "texinfo" ( - %SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo. - goto end -) - -if "%1" == "gettext" ( - %SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The message catalogs are in %BUILDDIR%/locale. - goto end -) - -if "%1" == "changes" ( - %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes - if errorlevel 1 exit /b 1 - echo. - echo.The overview file is in %BUILDDIR%/changes. - goto end -) - -if "%1" == "linkcheck" ( - %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck - if errorlevel 1 exit /b 1 - echo. - echo.Link check complete; look for any errors in the above output ^ -or in %BUILDDIR%/linkcheck/output.txt. - goto end -) - -if "%1" == "doctest" ( - %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest - if errorlevel 1 exit /b 1 - echo. - echo.Testing of doctests in the sources finished, look at the ^ -results in %BUILDDIR%/doctest/output.txt. - goto end -) +if "%1" == "" goto help -if "%1" == "coverage" ( - %SPHINXBUILD% -b coverage %ALLSPHINXOPTS% %BUILDDIR%/coverage - if errorlevel 1 exit /b 1 - echo. - echo.Testing of coverage in the sources finished, look at the ^ -results in %BUILDDIR%/coverage/python.txt. - goto end -) +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end -if "%1" == "xml" ( - %SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The XML files are in %BUILDDIR%/xml. - goto end -) - -if "%1" == "pseudoxml" ( - %SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml. - goto end -) +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end +popd diff --git a/requirements.txt b/requirements.txt index e69de29..3feb227 100644 --- a/requirements.txt +++ b/requirements.txt @@ -0,0 +1,2 @@ +sphinx +sphinxcontrib.jquery \ No newline at end of file diff --git a/_static/l02-add-path-on-windows.png b/source/_static/l02-add-path-on-windows.png similarity index 100% rename from _static/l02-add-path-on-windows.png rename to source/_static/l02-add-path-on-windows.png diff --git a/_static/l02-install-python-on-windows.png b/source/_static/l02-install-python-on-windows.png similarity index 100% rename from _static/l02-install-python-on-windows.png rename to source/_static/l02-install-python-on-windows.png diff --git a/_static/l03-interpreter.png b/source/_static/l03-interpreter.png similarity index 100% rename from _static/l03-interpreter.png rename to source/_static/l03-interpreter.png diff --git 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+master_doc = 'index' + +# -- Options for HTML output ------------------------------------------------- +# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output + +html_theme = 'sphinx_minoo_theme' +html_theme_path = ["_templates"] +html_static_path = ['_static'] diff --git a/donate-report.rst b/source/donate-report.rst similarity index 100% rename from donate-report.rst rename to source/donate-report.rst diff --git a/index.rst b/source/index.rst similarity index 100% rename from index.rst rename to source/index.rst diff --git a/lessons/l01.rst b/source/lessons/l01.rst similarity index 100% rename from lessons/l01.rst rename to source/lessons/l01.rst diff --git a/lessons/l02.rst b/source/lessons/l02.rst similarity index 100% rename from lessons/l02.rst rename to source/lessons/l02.rst diff --git a/lessons/l03.rst b/source/lessons/l03.rst similarity index 100% rename from lessons/l03.rst rename to source/lessons/l03.rst diff --git a/lessons/l04.rst 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a/log.rst b/source/log.rst similarity index 100% rename from log.rst rename to source/log.rst diff --git a/preface.rst b/source/preface.rst similarity index 100% rename from preface.rst rename to source/preface.rst diff --git a/python-interactive.rst b/source/python-interactive.rst similarity index 100% rename from python-interactive.rst rename to source/python-interactive.rst diff --git a/python-resources.rst b/source/python-resources.rst similarity index 100% rename from python-resources.rst rename to source/python-resources.rst From f2ec9f69cd748489885f64bb95f20ed447f476a7 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Thu, 30 Mar 2023 00:30:59 +0330 Subject: [PATCH 03/74] added Dockerfile --- Dockerfile | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..935986d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,14 @@ +FROM python:3.11.2-alpine + +WORKDIR /docs + +EXPOSE 80:8000 + +COPY source /docs/ +COPY requirements.txt /docs/requirements.txt + +RUN python -m pip install --upgrade pip \ + && python -m pip install -r requirements.txt \ + && python -m sphinx.cmd.build . _build + +ENTRYPOINT ["sh", "-c", "cd _build && python -m http.server"] From d2e998d6bebb58a5ee0e76ddfc00cf3a38bd90af Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Thu, 30 Mar 2023 00:32:03 +0330 Subject: [PATCH 04/74] Update README.md --- README.md | 77 +++++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 67 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 8d302b1..016e952 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,73 @@ -Python Book (Persian) -===== +# Python in Persian [![Documentation Status](https://readthedocs.org/projects/pythonpersiantutorial/badge/?version=latest)](https://readthedocs.org/projects/pythonpersiantutorial/?badge=latest) -A free, online python book in persian. This book currently is under development but every time you can read last release in : -http://python.coderz.ir +This is an open-source and online book that provides a comprehensive tutorial on the Python programming language in Persian. The book is available at [python.coderz.ir](https://python.coderz.ir/) and covers a wide range of topics, including: -by : -* [Saeid Darvish](https://twitter.com/saeiddrv) +- Introduction +- Setup and starting a new project +- Data types +- Control flow statements +- Functions +- Object-oriented programming +- Exception handling +- File handling +- Regular expressions +- Debugging techniques +- Date and Time -Feel free to contribute :) +This book is designed for Persian-speaking learners who have no prior experience with programming languages. The book covers all the essential topics, from basic to intermediate programming, and each chapter includes code examples to help learners reinforce their understanding of the material. + +## Getting Started + +To get started with the book: + +- Simply visit [python.coderz.ir](https://python.coderz.ir/) and start reading. + +- Download the source code from GitHub and run it on your local machine: + + ``` + $ git clone https://github.com/saeiddrv/PythonPersianTutorial.git + + $ pip install -U pip + $ pip install virtualenv + $ python -m virtualenv .pypr-venv + $ source .pypr-venv/bin/activate + + $ cd PythonPersianTutorial + $ pip install -r requirements.txt + + $ make html + + $ cd ./build/html + $ python -m http.server + ``` + +- Download the source code from GitHub and run it with Docker: + + ``` + $ git clone https://github.com/saeiddrv/PythonPersianTutorial.git + + $ cd PythonPersianTutorial + + $ docker build -t pypersian . + $ docker run -d --name pypersian -p 80:8000 pypersian + ``` + + +## Contributions + +If you'd like to contribute to the book, you can fork the repository on GitHub and submit a pull request with your changes. You can also open an issue to **report errors**. + +## Credits + +This book was authored by **Saeid Darvish**. + +## License + +This book is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0](http://creativecommons.org/licenses/by-nc/4.0/) International Public License, which means you can use, copy, modify, merge, publish, distribute of the book for non-commercial purposes. + +## Acknowledgments + +Special thanks to the Python community and the contributors of open-source Python packages and libraries, without whom this book would not have been possible. -License ------ -Creative Commons License
      Python Persian Tutorial by Saeid Darvish is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
      Based on a work at http://python.coderz.ir/. From 41a0b6094a152c54b67ed314d20e3dbb9c49d60e Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Thu, 30 Mar 2023 00:57:09 +0330 Subject: [PATCH 05/74] Update README.md --- README.md | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 016e952..36d320f 100644 --- a/README.md +++ b/README.md @@ -16,11 +16,11 @@ This is an open-source and online book that provides a comprehensive tutorial on - Debugging techniques - Date and Time -This book is designed for Persian-speaking learners who have no prior experience with programming languages. The book covers all the essential topics, from basic to intermediate programming, and each chapter includes code examples to help learners reinforce their understanding of the material. +This book is designed for Persian-speaking learners without prior experience with programming languages. The book covers all the essential topics, from basic to intermediate programming, and each chapter includes code examples to help learners understand the material. ## Getting Started -To get started with the book: +To get started with this book, you can: - Simply visit [python.coderz.ir](https://python.coderz.ir/) and start reading. @@ -31,8 +31,8 @@ To get started with the book: $ pip install -U pip $ pip install virtualenv - $ python -m virtualenv .pypr-venv - $ source .pypr-venv/bin/activate + $ python -m virtualenv .venv + $ source .venv/bin/activate $ cd PythonPersianTutorial $ pip install -r requirements.txt @@ -40,10 +40,11 @@ To get started with the book: $ make html $ cd ./build/html - $ python -m http.server + $ python -m http.server 8000 ``` + then visit http://127.0.0.1:8000: -- Download the source code from GitHub and run it with Docker: +- Download the source code from GitHub and run it in Docker: ``` $ git clone https://github.com/saeiddrv/PythonPersianTutorial.git @@ -53,6 +54,7 @@ To get started with the book: $ docker build -t pypersian . $ docker run -d --name pypersian -p 80:8000 pypersian ``` + then visit http://127.0.0.1 ## Contributions @@ -61,11 +63,11 @@ If you'd like to contribute to the book, you can fork the repository on GitHub a ## Credits -This book was authored by **Saeid Darvish**. +This book was authored by [**Saeid Darvish**](https://saeiddrv.github.io). ## License -This book is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0](http://creativecommons.org/licenses/by-nc/4.0/) International Public License, which means you can use, copy, modify, merge, publish, distribute of the book for non-commercial purposes. +This book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, which means you are free to use, copy, modify, merge, publish, and distribute the book for non-commercial purposes. Please see the [license](https://creativecommons.org/licenses/by-nc-sa/4.0/) for more details. ## Acknowledgments From 9bf62d74c51c7d77e118019455a584de027e153e Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Thu, 30 Mar 2023 03:08:19 +0330 Subject: [PATCH 06/74] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 36d320f..4ec3c60 100644 --- a/README.md +++ b/README.md @@ -42,7 +42,7 @@ To get started with this book, you can: $ cd ./build/html $ python -m http.server 8000 ``` - then visit http://127.0.0.1:8000: + then visit http://127.0.0.1:8000 - Download the source code from GitHub and run it in Docker: From 494bfc6d1b051c5b076b0878470e99a44f385f0a Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 14:00:02 +0330 Subject: [PATCH 07/74] edited preface --- source/preface.rst | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/source/preface.rst b/source/preface.rst index e006080..d3d0b48 100644 --- a/source/preface.rst +++ b/source/preface.rst @@ -1,22 +1,27 @@ پیش‌گفتار ========== -آنچه در این کتاب نوشته می‌شود حاصل یادگیری‌های شخصی از منابع مختلف در دسترس مرتبط با آموزش پایتون می‌باشد؛ یک یادداشت شخصی ولی منسجم! که سعی می‌شود منطبق با مستندات اصلی زبان برنامه‌نویسی پایتون باشد. +آنچه در این کتاب گرد آمده، حاصل یادگیری‌های شخصی از منابع مختلف و در دسترس مرتبط با آموزش پایتون است؛ یک یادداشت شخصی ولی منسجم. با این حال نمی‌توان این کتاب را ترجمه یا برداشت از یک یا چند منبع مشخص دانست. چرا که هر موضوعی پیش از نوشتن، پیش‌نیازهای آن برآورد و کاملا با مستندات اصلی زبان پایتون هماهنگ شده است. این رویه درنهایت منجر به ایجاد طرحی جدا از منابع متداول آموزشی شده است به گونه‌ای که میتوان این کتاب را یک نسخه ساده شده و روان از مستندات پایتون همراه با پیش‌نیازهای آن به زبان پارسی در نظر گرفت! +همانند پایتون، تمرکز این کتاب نیز بر سادگی گذاشته شده و تلاش گشته تا هر زمان که نیاز به دانستن موضوعی عمومی یا جدا از زبان پایتون بوده، آن موضوع نیز بیان شود. به همین دلیل، مطالعه این کتاب برای افرادی که پیش‌تر تجربه برنامه‌نویسی نداشته‌اند نیز کاملا مناسب خواهد بود. تمامی دروس سطح‌بندی شده‌اند و تا سطح متوسط برنامه‌نویسی با زبان پایتون را پوشش می‌دهند. سطوح در نظر گرفته شده در این کتاب عبارتند از: پایه (دروس یکم تا پنجم)، مقدماتی (دروس ششم تا یازدهم) و متوسط (دروس دوازدهم تا بیست و پنجم). -| +دروس کتاب بروز خواهند ماند ولی هیچ تصمیمی برای ادامه دروس کتاب با هدف گذر از سطح متوسط وجود ندارد. چرا که عبور از این سطح به میزان تجربه افراد در برنامه‌نویسی و همینطور حوزه تخصصی آن‌ها باز می‌گردد و اینکه انتظار می‌رود یک برنامه‌نویس به تدریج قدرت اتکا به منابع دست اول و مستندات فنی را به دست آورد. -کامل‌ترین منبع برای یادگیری یک زبان برنامه‌نویسی، مستندات اصلی آن است که با کمی تسلط به زبان انگلیسی می‌توانید از آن‌ها بهره‌مند شوید. مشکل اینجاست که حجم این مستندات زیاد بوده و ممکن است همراه با کلماتی تخصصی باشند که برای کاربران جدید کمی نامفهوم هستند. هدف اصلی این کتاب در کنار آموزش زبان برنامه‌نویسی پایتون، نزدیک کردن کاربران به مستندات اصلی آن است. تلاش بر این است که در کنار ارايه توضیحات روان و کافی در هر بخش، لینک به صفحه مستندات اصلی پایتون نیز ارائه شود، مفاهیم و کلمات کلیدی با زبان اصلی (انگلیسی) ذکر شوند که امکان جستجوی بیشتر در اینترنت نیز برای خوانندگان فراهم باشد. همچنین سعی می‌شود هیچ نکته و مفهومی بدون ذکر نمونه کد و مثال باقی نماند و برای هر بخش پس از پایان، جای ابهامی باقی نگذارد. +کامل‌ترین منبع برای استفاده از یک زبان برنامه‌نویسی، مستندات اصلی آن است که با کمی تسلط به زبان انگلیسی می‌توان از آن‌ها بهره‌مند شد. مشکل اینجاست که حجم این مستندات زیاد بوده و ممکن است همراه با واژگان تخصصی باشند که برای کاربران جدید کمی نامفهوم خواهند بود. هدف اصلی این کتاب در کنار آموزش زبان برنامه‌نویسی پایتون، نزدیک کردن کاربران به مستندات اصلی آن است. تلاش شده در کنار ارايه توضیحات روان و کافی در هر بخش، لینک به صفحه مستندات اصلی پایتون نیز ارائه شود، مفاهیم و کلمات کلیدی با زبان اصلی (انگلیسی) ذکر شوند تا امکان جستجوی بیشتر در اینترنت نیز برای خوانندگان فراهم باشد. همچنین سعی شده هیچ نکته و مفهومی بدون ذکر نمونه کد و مثال بیان نشود به این امید که پس از پایان هر بخش، جای ابهامی برای خوانندگان باقی نمانده باشد. | این کتاب متن‌باز و آزاد است که سورس آن به منظور امکان مشارکت عمومی در توسعه و همچنین بهره‌برداری‌های آزاد متناسب با مجوز انتشار آن، بر روی `گیت‌هاب `__ قرار داده شده است. +---- + +از جامعه کابران پایتون در سراسر جهان و از تمام افرادی که به گونه‌ای مشوق من در ادامه این کتاب بوده‌اند سپاسگذارم. از بلاگ کدرز و همینطور دوست عزیزم سجاد شکری که همیشه مشوق و راهنمای من بوده به صورت ویژه سپاسگذارم. + | -در نهایت امیدوارم مطالعه این کتاب برایتان مفید باشد. +با نهایت احترام، تقدیم به دختران سرزمینم - ایران ✌️ -`سعید درویش `__ - `تماس با من `__ +`سعید درویش `__ From 4ce9909e27a39a80a4f0f4ea003d4c850f1bce0b Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 14:17:25 +0330 Subject: [PATCH 08/74] changed title --- source/conf.py | 2 +- source/index.rst | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/source/conf.py b/source/conf.py index f413f7e..2a4cd22 100644 --- a/source/conf.py +++ b/source/conf.py @@ -6,7 +6,7 @@ # -- Project information ----------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information -project = 'PythonPersianTutorial' +project = 'پایتون به پارسی' copyright = '2015, Saeid Darvish' author = 'Saeid Darvish' diff --git a/source/index.rst b/source/index.rst index e0ea0d3..e100e1b 100644 --- a/source/index.rst +++ b/source/index.rst @@ -1,12 +1,12 @@ .. role:: emoji-size .. meta:: - :description: کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون به فارسی - صفحه نخست + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - صفحه نخست :keywords: پایتون, آموزش, آموزش برنامه نویسی, آموزش پایتون, برنامه نویسی, کتاب آموزش, آموزش فارسی, کتاب آزاد, پایتون نسخه -کتاب آزاد آموزش زبان برنامه‌نویسی پایتون +پایتون به پارسی ================================================== @@ -14,13 +14,13 @@ .-=-. .--. __ .' '. / " ) - _ .' '. / .-. \ / .-'\ PYTHON TUTORIAL + _ .' '. / .-. \ / .-'\ PYTHON ( \ / .-. \ / / \ \ / / ^ IN PERSIAN \ `-` / \ `-' / \ `-` / "BATTERIES INCLUDED", ENJOY! jgs`-.-` '.____.' `.____.' -این کتاب تلاشی است برای آموزش زبان برنامه‌نویسی پایتون (Python) بر پایه‌ پیاده‌سازی استاندارد آن (CPython)، به شکلی کامل و ساده که بتواند هر دو شاخه از پایتون (نسخه‌های 3x و 2x) را البته با محوریت نسخه 3x (به خصوص از درس هفدهم به بعد) پوشش دهد و همچنین برای افرادی که تاکنون سابقه‌ برنامه‌نویسی نداشته‌اند نیز کاربردی و مفید باشد. یادگیری پایتون نیازی به پیش‌زمینه برنامه‌نویسی ندارد و تنها پیش‌نیاز آن علاقه خوانندگان به فن برنامه‌نویسی است. +این کتاب تلاشی است برای آموزش زبان برنامه‌نویسی پایتون (Python) بر پایه‌ پیاده‌سازی استاندارد آن (CPython)، به زبانی ساده و روان که بتواند برای افرادی که تاکنون پیشینه برنامه‌نویسی نداشته‌اند نیز کاربردی و مفید باشد. مطالعه این کتاب نیازی به پیش‌زمینه برنامه‌نویسی ندارد و تنها پیش‌نیاز آن علاقه خوانندگان به فن برنامه‌نویسی است. .. toctree:: :maxdepth: 6 From 8d1f87b625548627611f24e106f1ddeecb2e8f15 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 21:20:44 +0330 Subject: [PATCH 09/74] edited l01 --- .../sphinx_minoo_theme/includes/header.html | 4 +- ...{minoo-20230203.css => minoo-20230401.css} | 0 .../{minoo-20210403.js => minoo-20230401.js} | 7 ++ source/lessons/l01.rst | 115 ++++++++++-------- 4 files changed, 71 insertions(+), 55 deletions(-) rename source/_templates/sphinx_minoo_theme/static/{minoo-20230203.css => minoo-20230401.css} (100%) rename source/_templates/sphinx_minoo_theme/static/{minoo-20210403.js => minoo-20230401.js} (97%) diff --git a/source/_templates/sphinx_minoo_theme/includes/header.html b/source/_templates/sphinx_minoo_theme/includes/header.html index da109bb..6fdece4 100644 --- a/source/_templates/sphinx_minoo_theme/includes/header.html +++ b/source/_templates/sphinx_minoo_theme/includes/header.html @@ -39,7 +39,7 @@ {% if theme_direction == "ltr" %} {% else %} - + {% endif %} {%- block linktags %} @@ -100,7 +100,7 @@ {% endif %} - + diff --git a/source/_templates/sphinx_minoo_theme/static/minoo-20230203.css b/source/_templates/sphinx_minoo_theme/static/minoo-20230401.css similarity index 100% rename from source/_templates/sphinx_minoo_theme/static/minoo-20230203.css rename to source/_templates/sphinx_minoo_theme/static/minoo-20230401.css diff --git a/source/_templates/sphinx_minoo_theme/static/minoo-20210403.js b/source/_templates/sphinx_minoo_theme/static/minoo-20230401.js similarity index 97% rename from source/_templates/sphinx_minoo_theme/static/minoo-20210403.js rename to source/_templates/sphinx_minoo_theme/static/minoo-20230401.js index 0009e38..eadb36e 100644 --- a/source/_templates/sphinx_minoo_theme/static/minoo-20210403.js +++ b/source/_templates/sphinx_minoo_theme/static/minoo-20230401.js @@ -152,6 +152,13 @@ $( document ).ready(function() { $('#sidebar-bottom').animate({scrollTop: pos.top - 232 }, "slow"); + // Fixing the lists + // $("ul li p").each(function(){ + // var value = $(this).html(); + // $(this).replaceWith(value); + // }); + + }); $( window ).resize(function() { diff --git a/source/lessons/l01.rst b/source/lessons/l01.rst index f31d350..c909a71 100644 --- a/source/lessons/l01.rst +++ b/source/lessons/l01.rst @@ -6,6 +6,8 @@ +.. _lesson_header: + درس ۰۱: آشنایی با زبان برنامه‌نویسی پایتون ================================================= @@ -17,7 +19,7 @@ Photo by `Michael Olsen `__ -این درس با بیان تاریخچه ایجاد **زبان برنامه‌نویسی پایتون** شروع و با توصیفی کوتاه و شرح ویژگی‌های آن ادامه می‌یابد؛ در شرح ویژگی‌ها سعی شده است کمی نیز توضیحات غیرپایتونی برای درک بهتر موضوعات ارایه گردد. همچنین در مورد کارایی پایتون و این موضوع که چرا در حال حاضر دو شاخه متفاوت از این زبان وجود دارد نیز صحبت شده است. هدف این درس ایجاد یک پیش‌زمینه‌ بدون ابهام از پایتون است! به این امید که مفید باشد و بتواند شما را به یادگیری این زبان تشویق کند :emoji-size:`😉`. +این درس با بیان تاریخچه ایجاد **زبان برنامه‌نویسی پایتون** شروع و با توصیفی کوتاه و شرح ویژگی‌های آن ادامه می‌یابد؛ در شرح ویژگی‌ها سعی شده است کمی نیز توضیحات غیرپایتونی برای درک بهتر موضوعات ارایه گردد. همچنین در مورد کارایی پایتون و سابقه نسخه‌های آن نیز صحبت شده است. هدف این درس ایجاد یک پیش‌زمینه‌ بدون ابهام از پایتون است! به این امید که مفید باشد و بتواند شما را به یادگیری این زبان تشویق کند :emoji-size:`😉`. :emoji-size:`✔` سطح: پایه @@ -28,33 +30,72 @@ ---- + +.. _python-history: + تاریخچه --------- + داستان [#f1]_ پایتون از اواخر سال ۱۹۸۲ میلادی آغاز می‌شود، سالی که آقای `روسوم `_ پس از پایان دانشگاه به عنوان یک برنامه‌نویس وارد تیم توسعه‌ زبان ABC در مرکز `CWI `_ واقع در آمستردام هلند می‌شود. `ABC `_ یک زبان برنامه‌نویسی تفسیر‌شده (Interpreted) با اهداف آموزشی است که از اواخر دهه هفتاد میلادی، تحت پروژه‌ای در این مرکز آغاز شده بود. وی چهار یا پنج سال بعد، زمانی که از پروژه‌ زبان ABC نتیجه‌ مطلوب حاصل نمی‌گردد از آن خارج و به تیم توسعه‌ `سیستم عامل آمیب `_ می‌پیوندد. این موضوع از آن جهت دارای اهمیت است که در هنگام کار بر روی این سیستم عامل بود که آقای روسوم به فکر ایجاد یک زبان اسکریپتی (Scripting Language) جدید می‌افتد. در دسامبر سال ۱۹۸۹ میلادی، تعطیلات کریسمس فرصتی می‌شود تا آقای روسوم به ایده سرگرم کننده‌ [#f2]_ خود بپردازد. البته پس از آن نیز زمان زیادی از وقت‌های آزاد خود را برای پیشرفت پروژه‌ای که ”Python“ نامیده بود صرف می‌کند. در این مسیر، تجربه‌ کار بر روی زبان ABC و همینطور مطالعات وی بر روی زبان‌ `Modula-3 `_ نقش فراوانی داشته است، در‌ واقع او یک نسخه‌ شخصی از بخش‌های مورد علاقه‌ خود از ABC ایجاد نمود. او یک ماشین مجازی ساده، یک تجزیه‌کننده (پارسرParser) ساده و یک سیستم زمان‌اجرا (Runtime System) ساده ایجاد کرد؛ یک زبان با نحو (سینتکس Syntax) اولیه که از تو‌رفتگی (Indentation) برای بلاک‌بندی بهره می‌برد و از انواع داده [#f3]_ دیکشنری، لیست، رشته و اعداد پشتیبانی می‌کرد و بر خلاف ABC توسعه‌پذیر می‌بود. یک سال بعد آقای روسوم از پایتون در پروژه‌ آمیب استفاده می‌کند؛ نتیجه‌ مطلوب و نیز بازخورد آن در بین همکارانش موجب می‌شود تا وی به بسیاری از بهینه سازی‌های اولیه در پایتون اقدام نماید. این روند ادامه می‌یابد تا اینکه سرانجام در ماه دوم از سال ۱۹۹۱ میلادی این زبان را با نسخه 0.9.0 و تحت پروانه‌ای مشابه با پروانه‌ `MIT `_ از طریق یکی از «گروه‌های خبری» (یوزنت Usenet) با عنوان `alt.sources `_ منتشر می‌سازد که با استقبال بالایی نیز رو به رو می‌گردد. + + "Python version 0.9.0 is released" + منشا انتخاب نام پایتون توسط آقای روسوم برخلاف تصور عمومی یا آنچه که از لوگوی آن مشاهده می‌شود به نوع خاصی از مار مربوط نمی‌شود!؛ در حقیقت این نام برگرفته از یک سریال کمدی تولید انگلستان با عنوان ”`Monty Python's Flying Circus `_“ می‌باشد که پخش اصلی آن در طی سال‌های ۱۹۶۹ تا ۱۹۷۴ میلادی از شبکه‌ BBC One بوده است. + +.. _python-introduction: + توصیفی کوتاه -------------- -سادگی و خوانایی از ویژگی‌های بارز زبان برنامه‌نویسی پایتون است، آنچنان ساده که حتی کودکان نیز قادر به آموختن آن هستند و قدرت در کنار این سادگی و خوانایی، معجزه‌ پایتون می‌باشد. از نگاه هر برنامه‌نویسی، برنامه‌های پایتون مجموعه‌ای از کد‌های زیبا هستند، بدون هیچ آشفتگی و پیچیدگی. این زبان به جای این که برنامه‌نویس را درگیر فهم ساختارش کند، به ابزاری قدرتمند برای تحقق تمام آنچه که در فکر برنامه‌نویس است تبدیل می‌شود، اگر در اجرای نخست کدهای پایتون خود هیچ خطایی نگرفتید؛ تعجب نکنید! و اگر هم گرفتید، خوشحال باشید!. این زبان به شدت دوست داشتنی است :emoji-size:`😍`. `ilovepython# `_ +سادگی و خوانایی از ویژگی‌های بارز زبان برنامه‌نویسی پایتون است، آنچنان ساده که حتی کودکان نیز قادر به آموختن آن هستند و قدرت در کنار این سادگی و خوانایی، معجزه‌ پایتون می‌باشد. از نگاه هر برنامه‌نویسی، برنامه‌های پایتون مجموعه‌ای از سطرهای منظم هستند، بدون هیچ آشفتگی و پیچیدگی. این زبان به جای این که برنامه‌نویس را درگیر فهم ساختارش کند، به ابزاری قدرتمند برای تحقق تمام آنچه که در فکر اوست تبدیل می‌شود، اگر در اجرای نخست کدهای پایتون خود هیچ خطایی نگرفتید؛ تعجب نکنید! و اگر هم گرفتید، خوشحال باشید!. این زبان به شدت دوست داشتنی است :emoji-size:`😍`. `ilovepython# `_ + +زبان برنامه‌نویسی پایتون همانطور که اشاره شد در سال ۱۹۹۱ میلادی توسط آقای روسوم خلق شده و توسعه‌ آن نیز زیر نظر مستقیم اوست. آقای روسوم زاده‌ سال ۱۹۵۶ میلادی و نخستین دارنده‌ عنوان `BDFL `_ (دیکتاتور خیرخواه جاویدان)‌ است. او پس از حضور در شرکت‌های گوگل و دراپ‌باکس، هم اکنون (سال 2023) در مایکروسافت مشغول به فعالیت است. `(صفحه شخصی) `_ + +توسعه‌ پایتون با عصر توسعه و محبوبیت زبان‌های متن باز دیگری همچون Perl و Ruby هم‌ زمان بوده که این امر به پیشرفت و توسعه‌ آن کمک زیادی کرده است. + +پایتون یک جامعه‌ کاربری بسیار بزرگ و پویا به همراه خود دارد که عامل پیشرفت و توسعه‌ بسیار مهمی برای هر زبان برنامه‌نویسی به شمار می‌رود. این جامعه هر ساله با برپایی `همایش‌های گوناگون `_ در سراسر جهان به تبادل آموخته‌ها می‌پردازد. یکی از رایج‌ترین این همایش‌ها `PyCon `_ (پای‌کان) می‌باشد که هر ساله در سراسر جهان برگزار می‌شود. + +این زبان علاوه بر اینکه در توسعه برنامه‌های کاربردی زیادی به کار گرفته شده است، توسط شرکت یا سازمان‌های مطرح زیادی نیز در امور گوناگون در حال استفاده است که از جمله این موارد می‌توان به: reddit ،Pinterest ،Instagram (شبکه‌های اجتماعی) / Google (موتور جستجوگر و نیز سرویس‌های یوتیوب و نقشه) / Yahoo (سرویس نقشه) / IBM ،Intel ،Cisco ،Seagate (تست سخت‌افزار) / Netflix ،Spotify ،Uber ،Facebook ،Amazon ،Microsoft (تحلیل داده و ماشین لرنینگ) / Dropbox (سرویس میزبانی ابری فایل) / EVE Online (بازی‌های آنلاین) / NASA ،Los Alamos (امور علمی) / iRobot (رباتیک) / Pixar ،Industrial Light and Magic ،Disney (ساخت فیلم‌های انیمیشن) / BitTorrent (اشتراک فایل نظیر به نظیر) / CIA (وب‌سایت) / PayPal (سیستم انتقال پول آنلاین) / Mercurial (سیستم کنترل نسخه) / ESRI (نقشه‌برداری در برنامه GIS) و بسیاری دیگر [#f4]_ اشاره نمود. `(پایتون در stackshare) `_ + -زبان برنامه‌نویسی پایتون همانطور که اشاره شد در سال ۱۹۹۱ میلادی توسط آقای روسوم خلق شده و توسعه‌ آن نیز زیر نظر مستقیم اوست. آقای روسوم زاده‌ سال ۱۹۵۶ میلادی و نخستین دارنده‌ عنوان `BDFL `_ (دیکتاتور خیرخواه جاویدان)‌ می‌باشد و هم اکنون (سال ۲۰۱۵) در شرکت Dropbox مشغول به کار است. `(صفحه شخصی) `_ +.. _python-interpreter: -توسعه‌ پایتون با عصر توسعه و محبوبیت زبان‌های متن باز دیگری همچون Tcl ،Perl و Ruby هم‌ زمان بوده که این امر به پیشرفت و توسعه‌ آن کمک زیادی کرده است. +مفسر زبان پایتون +----------------- -پایتون یک جامعه‌ کاربری بسیار بزرگ و پویا به همراه خود دارد که عامل پیشرفت و توسعه‌ بسیار مهمی برای هر زبان برنامه‌نویسی به شمار می‌رود. این جامعه هر ساله با برپایی `همایش‌های گوناگون `_ در سراسر جهان به تبادل آموخته‌ها می‌پردازد. یکی از رایج‌ترین این همایش‌ها `PyCon `_ (پای‌کان) می‌باشد که خوشبختانه ‌در ایران (`PyCon Iran یا PyIran `_) نیز برگزار می‌شود. +تنها زبان قابل فهم و اجرا برای هر ماشین (یا رایانه‌)، زبان ماشین (Machine Language) خاص آن است که متناسب با معماری پردازنده آن تعیین می‌شود. درک و پیاده‌سازی این زبان برای انسان کاری طاقت فرساست، از این رو با پیشرفت دانش پردازش داده، زبان‌های دیگر برنامه‌نویسی که به زبان انسان نزدیک‌تر هستند، توسعه یافته که تمامی آن‌ها پیش از اجرا می‌بایست به زبان ماشین ترجمه شوند. چگونگی فرآیند این ترجمه، عاملی است که سبب تفاوت زبان‌های برنامه‌نویسی و کاربرد آن‌ها شده است. عمل ترجمه برای کدهای اسمبلی توسط اسمبلر (`Assembler `_) و برای باقی زبان‌ها توسط کامپایلر (`Compiler `_) یا مفسر (`Interpreter `_) انجام می‌پذیرد. -این زبان تاکنون توسط شرکت یا سازمان‌های مطرح زیادی مورد استفاده قرار گرفته و در برنامه‌های کاربردی زیادی نیز از آن استفاده شده است که از جمله این موارد می‌توان به: reddit ،Pinterest ،Instagram (شبکه‌های اجتماعی) / Google (موتور جستجوگر و نیز سرویس یوتیوب) / Yahoo (سرویس نقشه) / IBM ،Intel ،Cisco ،Seagate (تست سخت‌افزار) / Dropbox (سرویس میزبانی ابری فایل) / EVE Online (بازی‌های آنلاین) / NASA ،Los Alamos (امور علمی) / iRobot (رباتیک) / Pixar ،Industrial Light and Magic ،Walt Disney (ساخت فیلم‌های انیمیشن) / BitTorrent (اشتراک فایل نظیر به نظیر) / CIA (وب‌سایت) / PayPal (سیستم انتقال پول آنلاین) / Mercurial (سیستم کنترل نسخه) / ESRI (نقشه‌برداری در برنامه GIS) و بسیاری دیگر [#f4]_ اشاره نمود. `(پایتون در stackshare) `_ -یک نکته مهم در مورد زبان برنامه‌نویسی پایتون، انواع پیاده‌سازی‌ (Implementation)‌ آن است. تا‌کنون از این زبان پیاده‌سازی‌های گوناگون و با اهداف متفاوتی توسعه یافته است که از این بین می‌توان به `Jython `_ (خاص ماشین مجازی جاوا)، `IronPython `_ (خاص چارچوب NET. مایکروسافت)، `PyPy `_ (با هدف سرعت اجرای بیشتر)، `Stackless `_ (با هدف اجرای بهتر برنامه‌های چند‌نخی) و البته `CPython `_ اشاره نمود. [#f5]_ +یک کامپایلر (در زبان‌های کامپایلری مانند C) تمامی سطرهای سورس کد برنامه را به صورت یکجا خوانده و سپس با ساخت یک فایل جدید و مستقل از سورس کد با نام «کد مقصد یا آبجکت کد» (Object Code) یا فایل اجرایی (Executable) عمل ترجمه به زبان ماشین را پایان می‌بخشد. برنامه حاصل از کامپایلر توانایی هر چند بار اجرا در رایانه مقصد، بدون نیاز به کامپایل دوباره را دارد، اما فاقد حمل‌پذیری بوده و برای اجرا در ماشینی با معماری متفاوت نیازمند کامپایل دوباره با یک کامپایلر سازگار می‌باشد. البته این ضعف در زبان‌هایی به مانند Java ‌با ایجاد بایت‌کد کاملا از بین رفته است. در طرفی دیگر، یک مفسر (در زبان‌های تفسیر‌ی) سورس کد برنامه را به صورت سطر به سطر می‌خواند و هر سطر را به صورت جداگانه به زبان ماشین ترجمه و سپس بلافاصله آن را اجرا می‌کند. به این صورت که هنگامی یک سطر در حال اجراست در همان لحظه سطر بعدی در حال ترجمه به زبان ماشین می‌باشد. برنامه‌های نوشته شده با زبان‌های برنامه‌نویسی تفسیر‌ی برای هر بار اجرا در رایانه هدف نیاز به تفسیر دوباره دارند. این تفاوت عملکرد گرچه باعث کاهش سرعت اجرای زبان‌های تفسیر‌ی نسبت به کامپایلری می‌شود ولی خواندن سطر به سطر کدها در مفسر علاوه بر قابلیت تشخیص خطای بهتر، این امکان را بوجود می‌آورد که بتوان حتی در زمان اجرا نیز سورس کد را ویرایش و تغییر داد. این دسته از زبان‌ها در مواقعی که پیوسته نیاز به ویرایش کد و اعمال تغییر است، بسیار مورد توجه قرار گرفته‌اند. -CPython (سی‌پایتون) پیاده‌سازی استاندارد و اصلی زبان پایتون می‌باشد که با استفاده از زبان برنامه‌نویسی C توسعه می‌یابد. توسط CPython می‌توانید علاوه بر کتابخانه‌ پایتون از کتابخانه‌‌ زبان‌های C و ++C نیز بهره ببرید. +**پایتون** در دسته زبان‌های تفسیری قرار می‌گیرد که در ادامه با خصوصیات آن بیشتر آشنا خواهید شد. کدها و دستورات تهیه شده به این زبان برای به اجرا در آمدن توسط پردازنده (CPU) ماشین به یک مفسر نیاز دارد. تا‌کنون پیاده‌سازی‌های گوناگونی و با اهداف متفاوتی از مفسر پایتون توسعه یافته است. در این بین، CPython (سی‌پایتون) پیاده‌سازی استاندارد و رسمی مفسر پایتون می‌باشد که با استفاده از زبان برنامه‌نویسی C توسعه می‌یابد. توسط CPython می‌توان علاوه بر کدهای پایتون، کدهای توسعه یافته به‌‌ زبان‌های C و ++C را نیز در قالب یک پروژه به اجرا در آورد. + +از دیگر پیاده‌سازی های مهم مفسر زبان پایتون می‌توان به `Jython `_ (خاص ماشین مجازی جاوا)، `IronPython `_ (خاص چارچوب NET. مایکروسافت)، `PyPy `_ (با هدف سرعت اجرای بیشتر)، `Stackless `_ (با هدف اجرای بهتر برنامه‌های چند‌نخی - Multithread) اشاره نمود. [#f5]_ + +با این توضیحات اکنون می‌دانیم که مفسر پایتون وظیفه خواندن سورس کد برنامه، ترجمه به زبان ماشین و در نهایت اجرای آن را برعهده دارد. عمل ترجمه و اجرای سورس کد توسط CPython که مورد توجه این کتاب است، در دو مرحله متوالی زیر خلاصه می‌شود: + +۱- کامپایل یا ترجمه سورس کد به بایت‌کد (ByteCode) + +۲- تفسیر بایت‌کد به زبان ماشین و اجرای آن + +به این صورت که ابتدا سورس کد برنامه‌ به یک زبان میانی نزدیک به زبان ماشین با نام بایت‌کد ترجمه می‌شود و سپس بایت‌کد حاصل به ماشین مجازی (Virtual Machine) - به عنوان موتور زمان‌اجرای پایتون - فرستاده و در آن تفسیر و اجرا می‌گردد. + +.. note:: + با این که پایتون (پیاده‌سازی CPython) به عنوان یک زبان تفسیر‌ی شناخته می‌شود ولی در زمان‌اجرا (RunTime) کدها را یکبار به بایت‌کد ترجمه می‌کند (با استفاده از یک کامپایلر). + + +.. note:: + ماشین مجازی پایتون (CPython VM) به صورت یک حلقه تکرار است که دستورات بایت‌کد را یکی یکی می‌خواند، به زبان ماشین تفسیر و بلافاصله اجرا می‌کند. -توجه داشته باشید، پایتون (Python) نام یک زبان برنامه‌نویسی است و CPython (یا دیگر پیاده‌سازی‌‌های زبان پایتون) در واقع برنامه‌ایست که توسط آن می‌توان کد منبع (سورس کد Source Code) یک برنامه به زبان پایتون را اجرا نمود. به بیانی دیگر CPython یک پردازنده‌ برای زبان پایتون است. + +مفسر پایتون همچنین وظیفه اختصاص و آزاد‌سازی حافظه (Memory) را به عهده دارد. CPython، برای آزاد‌سازی حافظه از روش «شمارش ارجاع» (`Reference Counting `_) استفاده می‌کند. + +.. _python-features: ویژگی‌ها --------- @@ -66,13 +107,11 @@ CPython (سی‌پایتون) پیاده‌سازی استاندارد و اصل **پایتون** یک زبان برنامه‌نویسی همه منظوره (General-Purpose) است به این معنی که می‌توان از آن در توسعه طیف گسترده‌ای از انواع برنامه‌ها در حوزه‌های نرم‌افزاری گوناگون بهره برد؛ از جمله در توسعه برنامه‌های تحت وب و برنامه‌هایی با قابلیت «واسط گرافیکی کاربر» (`GUI `_). -**پایتون** یک زبان برنامه‌نویسی به همراه مجموعه‌ بزرگی از قابلیت‌های از پیش آماده و قابل حمل است که به عنوان کتابخانه‌ استاندارد آن شناخته می‌شود. همچنین در کنار این کتابخانه‌ می‌توان از طیف بسیار وسیعی از کتابخانه‌های شخص ثالث (Third-Party) پایتون [#f6]_ نیز بهره برد. کتابخانه‌های شخص ثالث ابزارهای مفیدی را در امور فروانی همچون: برنامه‌نویسی علمی ~ NumPy ،SciPy / پردازش زبان‌های طبیعی ~ NLTK / ارتباط درگاه سریال ~ PySerial / ایجاد بازی ~ PyGame ،Pyglet ،PyOpenGL ،PySoy / هوش مصنوعی ~ PyBrain / ایجاد وب سایت ~ Django ،Flask ،Bottle ،CherryPy / پردازش تصویر ~ PIL/Pillow ،PythonMagick / واسط گرافیکی کاربر ~ PyGtk ،PyQt ،WxPython / کار با اسناد rdflib ~ pdf / رمزنگاری ~ PyCrypto ،pyOpenSSL ،cryptography و بسیاری دیگر... که مدام در حال توسعه هستند و بر تعداد و تنوع آن‌ها نیز افزوده می‌شود را در اختیار برنامه‌نویسان پایتون قرار می‌دهند. - -**پایتون** یک زبان برنامه‌نویسی پویا (Dynamic) بوده و نیز از قابلیت مدیریت خودکار حافظه برخوردار است. این زبان شباهت‌هایی با TCL ،Perl ،Ruby ،PHP یا دیگر زبان‌های برنامه‌نویسی پویا دارد. در این نوع زبان‌ها بر‌خلاف زبان‌های ایستا (Static) مانند C++ ،C و Java نیازی به تعریف صریح نوع متغیرها [#f7]_ (Variables) نیست و همچنین نوع متغیر در طول برنامه قابل تغییر است. در زبان‌های پویا متغیرها از خود نوعی ندارند و تصمیم گیری برای تخصیص نوع در «زمان اجرا» (RunTime) انجام می‌پذیرد. +**پایتون** یک زبان برنامه‌نویسی به همراه مجموعه‌ بزرگی از قابلیت‌های از پیش آماده و قابل حمل است که به عنوان کتابخانه‌ استاندارد آن شناخته می‌شود. همچنین در کنار این کتابخانه‌ می‌توان از طیف بسیار وسیعی از کتابخانه‌های شخص ثالث (Third-Party) پایتون [#f6]_ نیز بهره برد. کتابخانه‌های شخص ثالث ابزارهای مفیدی را در امور فروانی همچون: برنامه‌نویسی علمی ~ SciPy / پردازش زبان‌های طبیعی ~ NLTK / ارتباط درگاه سریال ~ PySerial / ایجاد بازی ~ PyGame ،Pyglet ،PyOpenGL ،PySoy / هوش مصنوعی و ماشین لرنینگ ~ PyBrain ،TensorFlow ،PyTorch ،NumPy ،Pandas ،Matplotlib / ایجاد وب سایت ~ Django ،Flask ،Bottle ،CherryPy / پردازش تصویر ~ PIL/Pillow ،PythonMagick / واسط گرافیکی کاربر ~ PyGtk ،PyQt ،WxPython / کار با اسناد rdflib ~ pdf / رمزنگاری ~ PyCrypto ،pyOpenSSL ،cryptography و بسیاری دیگر... که مدام در حال توسعه هستند و بر تعداد و تنوع آن‌ها نیز افزوده می‌شود را در اختیار برنامه‌نویسان پایتون قرار می‌دهند. -بر خلاف زبان C، در پایتون اختصاص و آزاد‌سازی حافظه (Memory) به صورت خودکار انجام می‌شود. پایتون برای آزاد‌سازی حافظه از دو روش «شمارش ارجاع» (Reference Counting) و «زباله روبی» [#f8]_ (Garbage Collection) بهره می‌گیرد. (البته فراموش نشود که صحبت در مورد پیاده‌سازی CPython است) +**پایتون** یک زبان برنامه‌نویسی پویا (Dynamic) است. این زبان شباهت‌هایی با Perl ،Ruby ،PHP یا دیگر زبان‌های برنامه‌نویسی پویا دارد. در این نوع زبان‌ها بر‌خلاف زبان‌های ایستا (Static) مانند C++ ،C و Java نیازی به تعریف صریح نوع متغیرها [#f7]_ (Variables) نیست و همچنین نوع متغیر در طول برنامه قابل تغییر است. در زبان‌های پویا متغیرها از خود نوعی ندارند و تصمیم گیری برای تخصیص نوع در «زمان اجرا» (RunTime) انجام می‌پذیرد. -با اینکه پایتون یک زبان پویاست ولی در عین حال یک زبان «وابسته شدید به نوع» (Strongly Typed) نیز می‌باشد. در این نوع زبان‌ها (به مانند Java) تغییر ناگهانی و خودکار نوع داده (یا شی) انجام نمی‌شود؛ به عنوان نمونه چنانچه در پایتون عمل جمع بین یک نوع داده عددی مانند ``3`` و یک نوع داده غیر عددی مانند ``"7"`` صورت گیرد، یک Exception یا استثنای ``TypeError`` گزارش می‌گردد. در مقابل، زبان‌های «وابسته ضعیف به نوع» (Weak Typed) قرار دارند؛ در این زبان‌ها (به مانند Perl) نوع بر حسب موقعیت به صورت خودکار تغییر داده می‌شوند. در این مورد زبان‌های برنامه‌نویسی رفتارهای متفاوتی دارند،‌ به عنوان نمونه حاصل عبارت ``"7" + 3`` در زبان Perl با تبدیل (Convert)‌ خودکار نوع داده غیر عددی ``"7"`` به عدد (``7``)، مقدار ``10`` محاسبه می‌گردد. +با اینکه پایتون یک زبان پویاست ولی در عین حال یک زبان «وابسته شدید به نوع» (Strongly Typed) نیز می‌باشد. در این نوع زبان‌ها (به مانند Java) تغییر خودکار نوع داده انجام نمی‌شود؛ به عنوان نمونه چنانچه در پایتون عمل جمع بین یک نوع داده عددی مانند ``3`` و یک نوع داده غیر عددی مانند ``"7"`` صورت گیرد، یک Exception یا استثنای ``TypeError`` گزارش می‌گردد. در مقابل، زبان‌های «وابسته ضعیف به نوع» (Weak Typed) قرار دارند؛ در این زبان‌ها (به مانند Perl) نوع بر حسب موقعیت به صورت خودکار تغییر داده می‌شود. در این مورد زبان‌های برنامه‌نویسی رفتارهای متفاوتی دارند،‌ به عنوان نمونه حاصل عبارت ``"7" + 3`` در زبان Perl با تبدیل (Convert)‌ خودکار نوع داده غیر عددی ``"7"`` به عدد (``7``)، مقدار ``10`` محاسبه می‌گردد. .. tip:: استثنا‌ در واقع وضعیت یا خطایی (Error) است که در برنامه پیش‌بینی شده و بروز آن‌ به مانند یک اعتراض گزارش می‌شود. از طرفی در برنامه برای هر اعتراض، چگونگی رسیدگی به آن نیز تعریف می‌شود. @@ -88,43 +127,11 @@ CPython (سی‌پایتون) پیاده‌سازی استاندارد و اصل Machine < Assembly < C < C++ < Java < Python -.. tip:: - تنها زبان قابل فهم و اجرا برای هر ماشینی (یا رایانه‌ای)، زبان ماشین (Machine Language) خاص آن است و تمامی برنامه‌های نوشته شده در هر سطحی از انتزاع که باشند، پیش از اجرا می‌بایست به این زبان ترجمه شوند. بدیهی است که نیاز این پردازش اضافی به نسبت از سرعت اجرای برنامه می‌کاهد. عمل ترجمه برای کدهای اسمبلی توسط اسمبلر (`Assembler `_) و برای باقی زبان‌ها توسط کامپایلر (`Compiler `_) یا مفسر (`Interpreter `_) انجام می‌پذیرد. **پایتون** یک زبان برنامه‌نویسی چند‌ الگویی (Multi-Paradigm) است و برنامه‌نویس را مجبور به رعایت الگوی خاصی نمی‌کند. این زبان از الگوهای: دستوری (`Imperative `_) یا رویه‌ای (`Procedural `_)، تابعی (`Functional `_) و شی‌گرایی (`Object-Oriented `_) پشتیبانی می‌کند؛ البته همانظور که گفته شد نمی‌توان پایتون را به صورت خالص (Pure) متعلق به هر یک از این الگوها دانست [#f10]_. جدا از پشتیبانی الگوی برنامه‌نویسی شی‌گرا، ساختار پایتون به صورت کامل شی‌گراست و هر چیزی در این زبان یک شی (Object) است؛ در آینده بیشتر در این مورد صحبت خواهیم کرد. -**پایتون** (پیاده‌سازی CPython) به عنوان یک زبان تفسیر‌شده (Interpreted) شناخته می‌شود. با یک تعریف کلی در این نوع زبان‌ها کار خواندن سورس کد برنامه، ترجمه به زبان ماشین و در نهایت اجرای آن توسط یک مفسر انجام می‌گیرد. در پایتون عمل ترجمه و اجرای سورس کد را می‌توان در دو مرحله متوالی خلاصه نمود: - -۱- کامپایل سورس کد به بایت‌کد (ByteCode) - -۲- تفسیر بایت‌کد به زبان ماشین و اجرای آن - -به این صورت که ابتدا سورس کد برنامه‌ به یک زبان میانی نزدیک به زبان ماشین با نام بایت‌کد ترجمه می‌شود و سپس بایت‌کد حاصل به ماشین مجازی (Virtual Machine) - به عنوان موتور زمان‌اجرای پایتون - فرستاده و توسط آن تفسیر و اجرا می‌گردد. - -.. note:: - با این که پایتون (پیاده‌سازی CPython) به عنوان یک زبان تفسیر‌شده شناخته می‌شود ولی در زمان‌اجرا (RunTime) برای ترجمه‌ سورس کد به بایت‌کد از یک کامپایلر استفاده می‌کند. - - -تفاوت عملکرد کامپایلر و مفسر -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -به صورت خیلی کلی، کوتاه و ساده: - -یک کامپایلر (در زبان‌های کامپایل‌شده) تمامی سطرهای سورس کد برنامه را به صورت یکجا خوانده و سپس با ساخت یک فایل جدید و مستقل از سورس کد با نام «کد مقصد یا آبجکت کد» (Object Code) یا فایل اجرایی (Executable) عمل ترجمه به زبان ماشین را پایان می‌بخشد. برنامه حاصل از کامپایلر توانایی هر چند بار اجرا در رایانه مقصد، بدون نیاز به کامپایل دوباره را دارد، اما فاقد حمل‌پذیری بوده و کاربر نهایی نیز به هیچ عنوان توانایی دسترسی به سورس کد برنامه و تغییر یا ویرایش آن را نخواهد داشت. اما یک مفسر (در زبان‌های تفسیر‌شده) سورس کد برنامه را به صورت سطر به سطر می‌خواند و هر سطر را به صورت جداگانه به زبان ماشین ترجمه و سپس بلافاصله آن را اجرا می‌کند. به این صورت که هنگامی یک سطر در حال اجراست در همان لحظه سطر بعدی در حال ترجمه به زبان ماشین می‌باشد. برنامه‌های نوشته شده با زبان‌های برنامه‌نویسی تفسیر‌شده برای هر بار اجرا در رایانه هدف نیاز به تفسیر دوباره دارند. این تفاوت عملکرد گرچه باعث کاهش سرعت اجرای برنامه‌های تفسیر‌شده نسبت به برنامه‌های کامپایل‌شده می‌شود ولی خواندن سطر به سطر کدها در مفسر علاوه بر قابلیت تشخیص خطای بهتر، این امکان را بوجود می‌آورد که هر کاربری بتواند حتی در زمان اجرای برنامه سورس کد را ویرایش و تغییر دهد؛ این دسته از زبان‌ها در مواقعی که پیوسته نیاز به افزودن ویژگی‌های متفاوت به برنامه است بسیار مورد توجه قرار گرفته‌اند. - -.. note:: - ماشین مجازی پایتون (CPython VM) به صورت یک حلقه تکرار است که دستورات بایت‌کد را یکی یکی می‌خواند، به زبان ماشین تفسیر و بلافاصله اجرا می‌کند. - -**پایتون** یک زبان برنامه‌نویسی قابل‌حمل (Portable) است. می‌توان گفت سورس کد برنامه‌ای به این زبان قابلیت اجرا در هر رایانه‌ای را دارد. بایت‌کد پایتون شبیه به زبان ماشین است ولی با این تفاوت که مخصوص هیچ ماشین (یا رایانه) خاصی نیست. در مقابل،‌ وقتی سورس کد برنامه‌ای توسط کامپایلر به زبان ماشین ترجمه می‌شود، نتیجه آن فایلی است که تنها در ماشین‌هایی که این کد برای آن‌ها (متناسب با معماری `پردازنده `_) ترجمه شده است، قابل اجرا می‌باشد ولی بایت‌کد پایتون به کمک ماشین مجازی خود این توانایی را دارد که در هر ماشینی اجرا گردد. - -.. tip:: - هر ماشین، زبان ماشین مخصوص به خود را دارد و به همین دلیل در حالت عادی اجرای یک برنامه در ماشین‌هایی با معماری متفاوت، در مواردی نیازمند تغییر سورس کد برنامه و نیز ترجمه‌ مجدد آن توسط یک کامپایلر متناسب با معماری آن ماشین خاص می‌باشد. - - ماشین مجازی، بسته‌ایست نرم‌افزاری که قابلیت نصب بر روی انواع ماشین‌ها را داراست و وظیفه‌ آن ایجاد یک ماشین مجزا (بر روی ماشین مقصد) برای اجرای مستقل کدها (بایت‌کدها) می‌باشد. به این نوع ماشین مجازی «ماشین مجازی پردازش» [#f11]_ گفته می‌شود. - -بر همین اساس، هم اکنون سورس کد یک برنامه به زبان پایتون بدون نیاز به هیچ تغییری در تمام سیستم‌های عامل‌ مطرح قابل اجراست. **پایتون** یک زبان برنامه‌نویسی توسعه‌پذیر (Extensible) است. کدهای نوشته شده با پایتون را می‌توان به دیگر سورس کدهای این زبان افزود و همچنین می‌توان از کتابخانه‌ها و کدهای نوشته شده با دیگر زبان‌های برنامه‌نویسی در میان کدهای پایتون استفاده کرد (مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython). @@ -132,32 +139,34 @@ CPython (سی‌پایتون) پیاده‌سازی استاندارد و اصل **پایتون** یک زبان حساس به حرف (Case Sensitive) است. در این نوع زبان‌ها (مانند C ،C++ ،Java ،Perl و غیره...) بین حروف کوچک (Lowercase) و بزرگ (Uppercase) به مانند a و A تفاوت وجود دارد. با توجه به این موضوع، مفسر پایتون بین کلمات True ،true و TRUE تمایز می‌گذارد. +.. _python-performance: + کارایی -------- -معمولا افراد در مواجه با یادگیری زبان پایتون نگرانی‌هایی در مورد کارایی (Performance) برنامه‌های توسعه یافته با این زبان خواهند داشت به خصوص در جایگاه مقایسه با زبان Java، به هر حال پایتون یک زبان تفسیر‌شده است و در اجرا سرعت کمتری نسبت به زبان‌های کامپایل‌شده مانند C و Java خواهد داشت. معمولا کارایی بالا برابر با سرعت بالاست ولی قضاوت در مورد کارایی به این سادگی درست نیست! +معمولا افراد در مواجه با یادگیری زبان پایتون نگرانی‌هایی در مورد کارایی (Performance) برنامه‌های توسعه یافته با این زبان خواهند داشت به خصوص در جایگاه مقایسه با زبان Java، به هر حال پایتون یک زبان تفسیری است و در اجرا سرعت کمتری نسبت به زبان‌های کامپایلی مانند C و Java خواهد داشت. معمولا کارایی بالا برابر با سرعت بالاست ولی قضاوت در مورد کارایی به این سادگی درست نیست! در هر پروژه‌ای بسته به چیزی که می‌خواهیم می‌بایست انتخاب نماییم. اگر مبنای کارایی برای یک پروژه در سرعت بالای اجرا باشد (مانند برنامه‌های سیستمی)؛‌ زبان C همیشه بهترین انتخاب است ولی اگر مبنا در سرعت بالای توسعه و صرفه جویی در منابع از جمله هزینه باشد انتخاب مناسب پایتون است. گاهی نیز بهترین کارایی با استفاده ترکیبی از زبان‌های متفاوت به دست می‌آید. -در بسیاری از کاربردها سرعت پایتون کاملا قابل قبول است، وجود بایت‌کد‌ موجب افزایش سرعت در اجراهای بعدی برنامه می‌شود و نکات برنامه‌نویسی زیادی برای بهبود سرعت اجرا در پایتون وجود دارد که در این کتاب به تدریج اشاره خواهد شد. نباید فراموش کرد که یکی از مهمترین عامل‌های کارایی داشتن الگوریتمی بهینه است و البته نوشتن ماژول‌ها به زبان C نیز موجب افزایش قابل توجه کارایی پایتون می‌شود - `پایتون کند است اگر اشتباه استفاده شود `_ - با این وجود در حالت عادی اگر هزار مورد وجود داشته باشد که پایتون برای آن‌ها بهترین انتخاب باشد، سرعت یکی از آن‌ها نخواهد بود و برای توسعه برنامه‌هایی که سرعت اجرا نقش بسیار تعیین کننده‌‌ای دارد باید از زبان‌های دیگری استفاده نمایید. +در بسیاری از کاربردها سرعت پایتون کاملا قابل قبول است، وجود بایت‌کد‌ موجب افزایش سرعت در اجراهای بعدی برنامه می‌شود و نکات برنامه‌نویسی زیادی برای بهبود سرعت اجرا در پایتون وجود دارد که در این کتاب به تدریج اشاره خواهد شد. نباید فراموش کرد که یکی از مهمترین عامل‌های کارایی داشتن الگوریتمی بهینه است و البته نوشتن ماژول‌ها به زبان C نیز باعث افزایش قابل توجه سرعت اجرای پایتون می‌شود - `پایتون کند است اگر اشتباه استفاده شود `_ - با این وجود در حالت عادی اگر هزار مورد وجود داشته باشد که پایتون برای آن‌ها بهترین انتخاب باشد، رقابت در سرعت یکی از آن‌ها نخواهد بود و برای توسعه برنامه‌هایی که سرعت اجرا نقش بسیار تعیین کننده‌‌ای دارد باید از زبان‌های دیگری استفاده نمایید. لازم است به این نکته هم توجه داشته باشیم که تمام این صحبت‌ها در مورد پیاده‌سازی CPython از زبان پایتون بوده و پیاده‌سازی‌های دیگری نیز از زبان پایتون با هدف سرعت بالای اجرا (به مانند `PyPy `_) توسعه یافته است. +.. _python-versions: + نسخه‌ها ------- -هم اکنون دو شاخه از پایتون به صورت موازی (Parallel) در کنار یکدیگر در دسترس هستند: نسخه‌های 2x و 3x. در یک سیر تاریخی، نسخه‌ پایدار 2.0 در شانزدهم اکتبر سال ۲۰۰۰ میلادی و در ادامه‌ نسخه 1.6 منتشر (Release) می‌شود؛ پس از آن نیز توسعه‌ پایتون به همان صورت پیشین ادامه می‌یابد تا این که در دسامبر سال ۲۰۰۸ میلادی نسخه‌ای از پایتون با شماره‌ 3.0 که از آن با عنوان ”Python 3000“ یا ”Py3K“ نیز یاد می‌شود، با رویکرد شکستن «سازگاری با نسخه‌های پیشین» (`Backward Compatibility `_) منتشر می‌گردد. به بیان دیگر: مفسر نسخه‌های جدید (3x) پایتون قادر به اجرای سورس کدی که بر پایه‌ مفسر نسخه‌های پیشین تهیه شده است، نخواهد بود. (که این اتفاق در جامعه پایتون بسیار بحث برانگیز بوده و هست!) ظاهرا آقای روسوم خیلی پیش از این زمان نیاز به ایجاد یک سری تغییرات در ساختار و سینتکس این زبان را احساس کرده بود. شاید نخستین نشانه‌ از لزوم ایجاد تغییرات در پایتون را بتوان از صحبت‌های ایشان در همایش متن باز اوریلی (OSCON) سال ۲۰۰۲ با عنوان «پشیمانی‌های پایتون» (`Python Regrets `_) دریافت کرد. به هر صورت تیم توسعه‌ پایتون در پی رفع این نیاز، از بین حفظ گذشته‌ پایتون و پایبندی به فلسفه‌ سادگی آن؛ دومی را انتخاب می‌کند، ویژگی‌های کهنه کنار گذاشته و ویژگی‌های جدید جایگزین می‌گردند. -با انتشار یک نسخه‌ جدید به صورت معمول می‌بایست توسعه‌ نسخه‌ قدیمی متوقف شود، ولی از آنجا که زیر‌ساخت شرکت‌های بزرگی به پایتون وابسته بوده (مانند Google) و ارتقا نسخه برای آن‌ها حداقل بسیار زمان‌بر خواهد شد، برنامه‌ها و کتابخانه‌های کوچک و بزرگ بسیار زیادی توسط کاربران جامعه‌ پایتون برای نیاز‌های ریز و کلان گوناگونی توسعه یافته است که سازگار شدن تمام آن‌ها با نسخه‌ جدید پایتون بعید به نظر می‌رسد و از همه مهم‌تر خود برنامه‌نویسان پایتون می‌باشند که پس از سال‌ها اکنون مجبور هستند کارهای دیروز خود را با سینتکس و در مواقعی حتی با کتابخانه و ماژول‌هایی متفاوت به انجام برسانند؛ تیم توسعه‌ پایتون، برای پر کردن شکاف به وجود آمده بین دیروز و امروز پایتون یا به بیانی هموار کردن مسیر مهاجرت به نسخه‌ جدید پایتون،‌ علاوه بر اینکه از پیش سعی کرده بود تا ویژگی‌های جدید و سینتکس نسخه‌ 3.0 را به نسخه‌ 2.6 (که دو ماه زودتر منتشر شده بود) پورت (Port) کند، به توسعه‌ نسخه قدیمی پایان نمی‌دهد و نسخه‌ دیگری را با شماره‌ 2.7 در سوم جولای ۲۰۱۰، تقریبا یک سال پس از انتشار نسخه‌ 3.1 به همراه بسیاری از ویژگی‌های جدید آن منتشر می‌سازد. +با انتشار یک نسخه‌ جدید به صورت معمول می‌بایست توسعه‌ نسخه‌ قدیمی متوقف شود، ولی از آنجا که زیر‌ساخت شرکت‌های بزرگی به پایتون وابسته بوده (مانند Google) و ارتقا نسخه برای آن‌ها حداقل بسیار زمان‌بر خواهد شد، برنامه‌ها و کتابخانه‌های کوچک و بزرگ بسیار زیادی توسط کاربران جامعه‌ پایتون برای نیاز‌های ریز و کلان گوناگونی توسعه یافته بود که سازگار شدن تمام آن‌ها با نسخه‌ جدید پایتون در یک فاصله زمانی کوتاه بعید به نظر می‌رسید و از همه مهم‌تر خود برنامه‌نویسان پایتون قرار داشتند که پس از سال‌ها مجبور به پذیرش تغییرات شده بودند؛ تیم توسعه‌ پایتون، برای پر کردن شکاف به وجود آمده در پایتون یا به بیانی هموار کردن مسیر مهاجرت به نسخه‌ جدید پایتون،‌ علاوه بر اینکه از پیش سعی کرده بود تا ویژگی‌های جدید و سینتکس نسخه‌ 3.0 را به نسخه‌ 2.6 (که دو ماه زودتر منتشر شده بود) پورت (Port) کند، به توسعه‌ نسخه قدیمی پایان نمی‌دهد و نسخه‌ دیگری را با شماره‌ 2.7 در سوم جولای ۲۰۱۰، تقریبا یک سال پس از انتشار نسخه‌ 3.1 به همراه بسیاری از ویژگی‌های جدید آن منتشر می‌سازد. -بر طبق سند [#f13]_ `PEP 404 `_، هرگز نسخه‌ای با شماره‌ 2.8 به صورت رسمی منتشر نخواهد شد و نسخه‌ 2.7 با یک پشتیبانی طولانی مدت، نقطه‌ پایان نسخه‌ قدیمی پایتون خواهد بود. ابتدا قرار شد از این نسخه به مدت پنج سال پشتیبانی (تلاش برای رفع باگ‌ها) شود ولی چند ماه پیش، این زمان به ده سال یعنی تا سال ۲۰۲۰ افزایش یافت. +بر طبق سند [#f13]_ `PEP 404 `_، هرگز نسخه‌ای با شماره‌ 2.8 به صورت رسمی منتشر نخواهد شد و نسخه‌ 2.7 با یک پشتیبانی طولانی مدت، نقطه‌ پایان نسخه‌ قدیمی پایتون خواهد بود. ابتدا قرار شد از این نسخه به مدت پنج سال پشتیبانی (تلاش برای رفع باگ‌ها) شود ولی کمی مانده تا پایان، این زمان به ده سال یعنی تا سال ۲۰۲۰ افزایش یافت. نسخه‌ پایدار (Stable) پایتون با قالب A.B.C؛ مانند 3.4.2 شماره‌‌گذاری و منتشر می‌شود. عدد A، بخش اصلی (Major) شماره نسخه است و زمانی افزایش می‌یابد که واقعا تغییرات بزرگ و زیادی در زبان پایتون ایجاد شده باشد. عدد B، بخش جزئی (Minor) شماره نسخه را نشان می‌دهد و با ایجاد یک سری تغییرات مهم در زبان پایتون افزایش خواهد یافت. عموما شماره‌ نسخه‌ پایتون تنها به صورت A.B نشان داده می‌شود، زیرا عدد C تنها با رفع اشکال (Bug) احتمالی نسخه‌ منتشر شده افزایش می‌یابد (از عدد صفر) که این امر نیز شامل همه‌ نسخه‌های پایتون نمی‌شود. -کدام نسخه؟ برای شروع یادگیری و اهداف آموزشی نسخه‌ 3x مناسب است و در صورت نیاز تنها با مطالعه‌ مقایسه بین این دو نسخه می‌توانید با نسخه‌ قدیمی نیز آشنا شوید. همچنین اگر قصد توسعه‌ برنامه‌های دسکتاپ را داشته (یعنی زمانی که محدود به نسخه‌ نصب شده بر روی سرور نیستید) یا مواقعی که در ایجاد برنامه‌ خود نیازی به کتابخانه‌هایی که هنوز (اوایل ۲۰۱۵) با نسخه‌ 3x سازگار نشده‌اند (مانند Twisted) را ندارید؛‌ استفاده از نسخه‌ 3x بسیار خوب است. به هر حال تلاش می‌شود که این کتاب بتواند به دور از آشفتگی هر دو نسخه را پوشش دهد. - +.. _lesson_footer: پی‌نوشت -------- From 9996e67021e6d8002930bb9c7d3f6d870f4c00bc Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 21:49:29 +0330 Subject: [PATCH 10/74] edited home --- source/_static/logo/python-3-11.png | Bin 0 -> 94725 bytes source/index.rst | 11 ++++++++--- 2 files changed, 8 insertions(+), 3 deletions(-) create mode 100644 source/_static/logo/python-3-11.png diff --git a/source/_static/logo/python-3-11.png b/source/_static/logo/python-3-11.png new file mode 100644 index 0000000000000000000000000000000000000000..490cdb368f7ba22d79bde75fa08159ff51c14eb3 GIT binary patch literal 94725 zcmce7Wmg}GcXtV{!6m`n-CYNQ1@{n~5L|=126s|6kVVqCtqk3l+^P<$Kw8B0%k<*G5u zF$_RMTZ24`ZCHYx2C#_4#+4k3ibd7KC&0;5)Ex}}gQ}PxyH~{2W+N3J`zb-!Snz^! 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zw6rn>T`-U1x<3VgGRfd|FATC#Lf@?KLjqvjBJ2wzk)zb6%Sf!{_%vcsfR6Ytc3dY} zGd`__] - +.. figure:: /_static/logo/python-3-11.png + :align: center + :scale: 60 % + :alt: بروز شده با نسخه 3.11 +**شروع:** فروردین ۱۳۹۴ **و** **آخرین بروزرسانی:** آذر ۱۴۰۰ [`گزارش توسعه `__] - **بروز شده با نسخه ۳.۱۱ پایتون** From 860a1493a4d431c543fe8998e9f6891133cdc0a9 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 22:42:02 +0330 Subject: [PATCH 11/74] edited l01 --- source/conf.py | 2 ++ source/index.rst | 2 +- ...l01.rst => l01-introduction-to-python.rst} | 20 ++++++++----------- 3 files changed, 11 insertions(+), 13 deletions(-) rename source/lessons/{l01.rst => l01-introduction-to-python.rst} (88%) diff --git a/source/conf.py b/source/conf.py index 2a4cd22..90b71f5 100644 --- a/source/conf.py +++ b/source/conf.py @@ -27,4 +27,6 @@ html_theme = 'sphinx_minoo_theme' html_theme_path = ["_templates"] +html_title = 'کتاب ' + project + html_static_path = ['_static'] diff --git a/source/index.rst b/source/index.rst index 3ea03b6..17f9aa7 100644 --- a/source/index.rst +++ b/source/index.rst @@ -28,7 +28,7 @@ :maxdepth: 6 preface - lessons/l01 + lessons/l01-introduction-to-python lessons/l02 lessons/l03 lessons/l04 diff --git a/source/lessons/l01.rst b/source/lessons/l01-introduction-to-python.rst similarity index 88% rename from source/lessons/l01.rst rename to source/lessons/l01-introduction-to-python.rst index c909a71..563b118 100644 --- a/source/lessons/l01.rst +++ b/source/lessons/l01-introduction-to-python.rst @@ -1,11 +1,10 @@ .. role:: emoji-size .. meta:: - :description: کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون به فارسی - درس یکم آشنایی با پایتون + :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس یکم آشنایی با پایتون :keywords: معرفی پایتون, تاریخچه پایتون, کارایی پایتون, نسخه های پایتون, ویژگی های پایتون, آشنایی با پایتون, آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون - .. _lesson_header: درس ۰۱: آشنایی با زبان برنامه‌نویسی پایتون @@ -21,6 +20,8 @@ این درس با بیان تاریخچه ایجاد **زبان برنامه‌نویسی پایتون** شروع و با توصیفی کوتاه و شرح ویژگی‌های آن ادامه می‌یابد؛ در شرح ویژگی‌ها سعی شده است کمی نیز توضیحات غیرپایتونی برای درک بهتر موضوعات ارایه گردد. همچنین در مورد کارایی پایتون و سابقه نسخه‌های آن نیز صحبت شده است. هدف این درس ایجاد یک پیش‌زمینه‌ بدون ابهام از پایتون است! به این امید که مفید باشد و بتواند شما را به یادگیری این زبان تشویق کند :emoji-size:`😉`. + + :emoji-size:`✔` سطح: پایه ---- @@ -71,11 +72,11 @@ تنها زبان قابل فهم و اجرا برای هر ماشین (یا رایانه‌)، زبان ماشین (Machine Language) خاص آن است که متناسب با معماری پردازنده آن تعیین می‌شود. درک و پیاده‌سازی این زبان برای انسان کاری طاقت فرساست، از این رو با پیشرفت دانش پردازش داده، زبان‌های دیگر برنامه‌نویسی که به زبان انسان نزدیک‌تر هستند، توسعه یافته که تمامی آن‌ها پیش از اجرا می‌بایست به زبان ماشین ترجمه شوند. چگونگی فرآیند این ترجمه، عاملی است که سبب تفاوت زبان‌های برنامه‌نویسی و کاربرد آن‌ها شده است. عمل ترجمه برای کدهای اسمبلی توسط اسمبلر (`Assembler `_) و برای باقی زبان‌ها توسط کامپایلر (`Compiler `_) یا مفسر (`Interpreter `_) انجام می‌پذیرد. -یک کامپایلر (در زبان‌های کامپایلری مانند C) تمامی سطرهای سورس کد برنامه را به صورت یکجا خوانده و سپس با ساخت یک فایل جدید و مستقل از سورس کد با نام «کد مقصد یا آبجکت کد» (Object Code) یا فایل اجرایی (Executable) عمل ترجمه به زبان ماشین را پایان می‌بخشد. برنامه حاصل از کامپایلر توانایی هر چند بار اجرا در رایانه مقصد، بدون نیاز به کامپایل دوباره را دارد، اما فاقد حمل‌پذیری بوده و برای اجرا در ماشینی با معماری متفاوت نیازمند کامپایل دوباره با یک کامپایلر سازگار می‌باشد. البته این ضعف در زبان‌هایی به مانند Java ‌با ایجاد بایت‌کد کاملا از بین رفته است. در طرفی دیگر، یک مفسر (در زبان‌های تفسیر‌ی) سورس کد برنامه را به صورت سطر به سطر می‌خواند و هر سطر را به صورت جداگانه به زبان ماشین ترجمه و سپس بلافاصله آن را اجرا می‌کند. به این صورت که هنگامی یک سطر در حال اجراست در همان لحظه سطر بعدی در حال ترجمه به زبان ماشین می‌باشد. برنامه‌های نوشته شده با زبان‌های برنامه‌نویسی تفسیر‌ی برای هر بار اجرا در رایانه هدف نیاز به تفسیر دوباره دارند. این تفاوت عملکرد گرچه باعث کاهش سرعت اجرای زبان‌های تفسیر‌ی نسبت به کامپایلری می‌شود ولی خواندن سطر به سطر کدها در مفسر علاوه بر قابلیت تشخیص خطای بهتر، این امکان را بوجود می‌آورد که بتوان حتی در زمان اجرا نیز سورس کد را ویرایش و تغییر داد. این دسته از زبان‌ها در مواقعی که پیوسته نیاز به ویرایش کد و اعمال تغییر است، بسیار مورد توجه قرار گرفته‌اند. +یک کامپایلر (در زبان‌های کامپایلری مانند C) تمامی سطرهای سورس کد برنامه را به صورت یکجا خوانده و سپس با ساخت یک فایل جدید و مستقل از سورس کد با نام «کد مقصد یا آبجکت کد» (Object Code) یا فایل اجرایی (Executable) عمل ترجمه به زبان ماشین را پایان می‌بخشد. خروجی حاصل از کامپایلر توانایی هر چند بار اجرا در رایانه مقصد، بدون نیاز به کامپایل دوباره را دارد، اما فاقد حمل‌پذیری بوده و برای اجرا در ماشینی با معماری متفاوت نیازمند کامپایل دوباره با یک کامپایلر سازگار می‌باشد. البته این ضعف در زبان‌هایی به مانند Java ‌با ایجاد بایت‌کد (ByteCode) کاملا از بین رفته است. در طرفی دیگر، یک مفسر (در زبان‌های تفسیر‌ی) سورس کد برنامه را به صورت سطر به سطر می‌خواند و هر سطر را به صورت جداگانه به زبان ماشین ترجمه و سپس بلافاصله آن را اجرا می‌کند. به این صورت که هنگامی یک سطر در حال اجراست در همان لحظه سطر بعدی در حال ترجمه به زبان ماشین می‌باشد. برنامه‌های نوشته شده با زبان‌های برنامه‌نویسی تفسیر‌ی برای هر بار اجرا در رایانه هدف نیاز به تفسیر دوباره دارند. این تفاوت عملکرد گرچه باعث کاهش سرعت اجرای زبان‌های تفسیر‌ی نسبت به کامپایلری می‌شود ولی خواندن سطر به سطر کدها در مفسر علاوه بر قابلیت تشخیص خطای بهتر، این امکان را بوجود می‌آورد که بتوان حتی در زمان اجرا نیز سورس کد را ویرایش و تغییر داد. این دسته از زبان‌ها در مواقعی که پیوسته نیاز به ویرایش کد و اعمال تغییر است، بسیار مورد توجه قرار گرفته‌اند. -**پایتون** در دسته زبان‌های تفسیری قرار می‌گیرد که در ادامه با خصوصیات آن بیشتر آشنا خواهید شد. کدها و دستورات تهیه شده به این زبان برای به اجرا در آمدن توسط پردازنده (CPU) ماشین به یک مفسر نیاز دارد. تا‌کنون پیاده‌سازی‌های گوناگونی و با اهداف متفاوتی از مفسر پایتون توسعه یافته است. در این بین، CPython (سی‌پایتون) پیاده‌سازی استاندارد و رسمی مفسر پایتون می‌باشد که با استفاده از زبان برنامه‌نویسی C توسعه می‌یابد. توسط CPython می‌توان علاوه بر کدهای پایتون، کدهای توسعه یافته به‌‌ زبان‌های C و ++C را نیز در قالب یک پروژه به اجرا در آورد. +**پایتون** در دسته زبان‌های تفسیری قرار می‌گیرد که در ادامه با خصوصیات آن بیشتر آشنا خواهید شد. کدها و دستورات تهیه شده به این زبان برای به اجرا درآمدن توسط پردازنده (CPU) ماشین به یک مفسر نیاز دارد. تا‌کنون پیاده‌سازی‌های گوناگونی و با اهداف متفاوتی از مفسر پایتون توسعه یافته است. در این بین، CPython (سی‌پایتون) پیاده‌سازی استاندارد و رسمی مفسر پایتون می‌باشد که با استفاده از زبان برنامه‌نویسی C توسعه می‌یابد. توسط CPython می‌توان علاوه بر کدهای پایتون، کدهای توسعه یافته به‌‌ زبان‌های C و ++C را نیز در قالب یک پروژه به اجرا درآورد. -از دیگر پیاده‌سازی های مهم مفسر زبان پایتون می‌توان به `Jython `_ (خاص ماشین مجازی جاوا)، `IronPython `_ (خاص چارچوب NET. مایکروسافت)، `PyPy `_ (با هدف سرعت اجرای بیشتر)، `Stackless `_ (با هدف اجرای بهتر برنامه‌های چند‌نخی - Multithread) اشاره نمود. [#f5]_ +از دیگر پیاده‌سازی های مهم مفسر پایتون می‌توان به `Jython `_ (خاص ماشین مجازی جاوا)، `IronPython `_ (خاص چارچوب NET. مایکروسافت)، `PyPy `_ (با هدف سرعت اجرای بیشتر)، `Stackless `_ (با هدف اجرای بهتر برنامه‌های چند‌نخی - Multithread) اشاره نمود. [#f5]_ با این توضیحات اکنون می‌دانیم که مفسر پایتون وظیفه خواندن سورس کد برنامه، ترجمه به زبان ماشین و در نهایت اجرای آن را برعهده دارد. عمل ترجمه و اجرای سورس کد توسط CPython که مورد توجه این کتاب است، در دو مرحله متوالی زیر خلاصه می‌شود: @@ -135,7 +136,7 @@ **پایتون** یک زبان برنامه‌نویسی توسعه‌پذیر (Extensible) است. کدهای نوشته شده با پایتون را می‌توان به دیگر سورس کدهای این زبان افزود و همچنین می‌توان از کتابخانه‌ها و کدهای نوشته شده با دیگر زبان‌های برنامه‌نویسی در میان کدهای پایتون استفاده کرد (مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython). -**پایتون** دارای دستور زبانی تمیز و خوانایی (Readability) بالای کد است. خوانایی در طراحی پایتون مورد تاکید بوده و در کنار شی‌گرایی از مهم‌ترین ویژگی‌های یک کد به جهت استفاده مجدد می‌باشد. پایتون به مانند زبان ABC از روش «تو‌رفتگی» بوسیله‌ فضاهای خالی برای بلاک‌بندی [#f12]_ استفاده می‌کند. در پایتون اجباری به استفاده از نقطه ویرگول (Semicolon) ``;`` و برخی پرانتز گذاری‌ها نمی‌باشد و البته وجود انواع داده (Data Types) - البته به بیانی درست‌تر «انواع شی» - متنوع و نیز پویایی پایتون موجب کمتر شدن حجم کد‌نویسی و صرفه‌جویی در زمان توسعه نسبت به زبان‌هایی به مانند C++ ،C و حتی Java می‌شود. `تحقیقات `_ نشان می‌دهند: کاری که یک برنامه‌نویس پایتون می‌تواند در مدت زمان دو ماه به انجام برساند، دو برنامه‌نویس ++C در مدت یک سال قادر به تکمیل آن نخواهند بود! +**پایتون** دارای دستور زبانی تمیز و خوانایی (Readability) بالای کد است. خوانایی در طراحی پایتون مورد تاکید بوده و در کنار شی‌گرایی از مهم‌ترین ویژگی‌های یک کد به جهت استفاده مجدد می‌باشد. پایتون به مانند زبان ABC از روش «تو‌رفتگی» بوسیله‌ فضاهای خالی برای بلاک‌بندی [#f12]_ استفاده می‌کند. در پایتون اجباری به استفاده از نقطه ویرگول (Semicolon) ``;`` و برخی پرانتز گذاری‌ها نمی‌باشد و البته وجود انواع داده (Data Types) متنوع و نیز پویایی پایتون موجب کمتر شدن حجم کد‌نویسی و صرفه‌جویی در زمان توسعه نسبت به زبان‌هایی به مانند C++ ،C و حتی Java می‌شود. `تحقیقات `_ نشان می‌دهند: کاری که یک برنامه‌نویس پایتون می‌تواند در مدت زمان دو ماه به انجام برساند، دو برنامه‌نویس ++C در مدت یک سال قادر به تکمیل آن نخواهند بود! **پایتون** یک زبان حساس به حرف (Case Sensitive) است. در این نوع زبان‌ها (مانند C ،C++ ،Java ،Perl و غیره...) بین حروف کوچک (Lowercase) و بزرگ (Uppercase) به مانند a و A تفاوت وجود دارد. با توجه به این موضوع، مفسر پایتون بین کلمات True ،true و TRUE تمایز می‌گذارد. @@ -175,7 +176,7 @@ .. [#f2] ”...در دسامبر سال ۱۹۸۹ دنبال یک پروژه‌ برنامه‌نویسی به عنوان سرگرمی می‌گشتم تا اوقات فراغت به وجود آمده از تعطیلات کریسمس را پر کنم. دفتر کارم (یک آزمایشگاه تحقیقاتی دولتی در آمستردام) بسته بود، ولی یک رایانه‌ شخصی داشتم و چیزی بیش از این هم در اختیارم نبود. تصمیم گرفتم تا مفسری برای یک زبان اسکریپتی جدید بنویسم. قبلا در مورد آن فکر کرده بودم: از نسل زبان ABC و جذاب برای هکرهای Unix/C. نام پایتون را برای عنوان کاری این پروژه انتخاب کردم، کمی گستاخانه ( و یک طرفدار بزرگ Monty Python’s Flying Circus)...“ - نقل از آقای روسوم [`منبع `_] -.. [#f3] در دروس آینده به انواع داده (Data Types) در زبان پایتون به صورت کامل پرداخته می‌شود. البته خواهید دید که این مبحث در پایتون با عنوان «انواع شی» ارايه می‌گردد. +.. [#f3] در دروس آینده به انواع داده (Data Types) در زبان پایتون به صورت کامل پرداخته می‌شود. .. [#f4] برای مشاهده‌ موارد استفاده بیشتر پایتون می‌توانید به صفحه‌های [`درباره پایتون `_] و [`ویکی پایتون `__] مراجعه نمایید. @@ -186,14 +187,10 @@ .. [#f7] متغیر در پایتون، نامی است که به یک شی (Object) در حافظه اشاره می‌کند. (در دروس آینده به آن پرداخته خواهد شد) -.. [#f8] از نسخه 2.0 و جدیدتر به پایتون (پیاده‌سازی CPython) افزوده شده است. - .. [#f9] دسته‌بندی رایج دیگر، بر مبنای نسل (Generation) است. زبان‌های نسل اول زبان‌های ماشین، نسل دوم زبان‌های اسمبلی، نسل سوم زبان‌های سطح بالایی مانند C# ،C++ ،C ،Lisp ،Cobol ،Fortran و Java هستند. زبان‌های نسل چهارم آن‌هایی هستند که برای کاربرد‌هایی خاص طراحی شده‌اند مانند NOMAD برای تولید گزارش، SQL برای پرس و جوهای (Queries) پایگاه‌ داده و Postscript برای قالب‌بندی متن. اصطلاح زبان نسل پنجم به زبان‌های مبتنی بر منطق و شرط (logic- and constraint-based) مانند Prolog و OPS5 گفته می‌شود. (آورده شده از کتاب: کامپایلرها... نوشته Aho و...، ویرایش دوم، صفحه ۱۳) - زبان پایتون یک زبان همه منظوره است و در دسته زبان‌های نسل سوم قرار می‌گیرد،‌ هر چند که نسبت به برخی از زبان‌های این نسل سطح بالاتری دارد. .. [#f10] با توجه به نوشته‌ Jeremy Jones با عنوان `Python's (Weak) Functional Programming Paradigm `_. -.. [#f11] منظور از ماشین مجازی در اینجا ”Process Virtual Machine“ است و نباید با «ماشین مجازی سیستمی» (System Virtual Machine) اشتباه گرفته شود. - .. [#f12] برای نمونه: این کار در زبان Pascal توسط کلمات Begin و End، در زبان‌های C و Java توسط آکولاد ``{ }`` صورت می‌گیرد. .. [#f13] PEPs یا Python Enhancement Proposals (طرح‌های توسعه‌ پایتون) در واقع مجموعه اسنادی است که تیم توسعه‌ پایتون از آن‌ها برای توصیف شیوه‌ طراحی، ویژگی‌های جدید یا منطق، فرآیند و راهبردهای آینده پایتون استفاده می‌کنند. فهرست: `PEP 0 `_ @@ -209,7 +206,6 @@ :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ From 629178b77e256d854637b169051e13fa581144c8 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 31 Mar 2023 23:56:52 +0330 Subject: [PATCH 12/74] edited l02 --- source/index.rst | 2 +- source/lessons/l01-introduction-to-python.rst | 6 +-- .../lessons/{l02.rst => l02-setup-python.rst} | 38 ++++++++++++------- 3 files changed, 29 insertions(+), 17 deletions(-) rename source/lessons/{l02.rst => l02-setup-python.rst} (87%) diff --git a/source/index.rst b/source/index.rst index 17f9aa7..f7b7e4d 100644 --- a/source/index.rst +++ b/source/index.rst @@ -29,7 +29,7 @@ preface lessons/l01-introduction-to-python - lessons/l02 + lessons/l02-setup-python lessons/l03 lessons/l04 lessons/l05 diff --git a/source/lessons/l01-introduction-to-python.rst b/source/lessons/l01-introduction-to-python.rst index 563b118..5c34b63 100644 --- a/source/lessons/l01-introduction-to-python.rst +++ b/source/lessons/l01-introduction-to-python.rst @@ -1,11 +1,11 @@ .. role:: emoji-size .. meta:: - :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس یکم آشنایی با پایتون + :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس یکم: آشنایی با پایتون :keywords: معرفی پایتون, تاریخچه پایتون, کارایی پایتون, نسخه های پایتون, ویژگی های پایتون, آشنایی با پایتون, آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون -.. _lesson_header: +.. _lesson-01: درس ۰۱: آشنایی با زبان برنامه‌نویسی پایتون ================================================= @@ -167,7 +167,7 @@ نسخه‌ پایدار (Stable) پایتون با قالب A.B.C؛ مانند 3.4.2 شماره‌‌گذاری و منتشر می‌شود. عدد A، بخش اصلی (Major) شماره نسخه است و زمانی افزایش می‌یابد که واقعا تغییرات بزرگ و زیادی در زبان پایتون ایجاد شده باشد. عدد B، بخش جزئی (Minor) شماره نسخه را نشان می‌دهد و با ایجاد یک سری تغییرات مهم در زبان پایتون افزایش خواهد یافت. عموما شماره‌ نسخه‌ پایتون تنها به صورت A.B نشان داده می‌شود، زیرا عدد C تنها با رفع اشکال (Bug) احتمالی نسخه‌ منتشر شده افزایش می‌یابد (از عدد صفر) که این امر نیز شامل همه‌ نسخه‌های پایتون نمی‌شود. -.. _lesson_footer: +.. _lesson-01-footer: پی‌نوشت -------- diff --git a/source/lessons/l02.rst b/source/lessons/l02-setup-python.rst similarity index 87% rename from source/lessons/l02.rst rename to source/lessons/l02-setup-python.rst index e6bcf30..9d27621 100644 --- a/source/lessons/l02.rst +++ b/source/lessons/l02-setup-python.rst @@ -1,10 +1,11 @@ .. role:: emoji-size .. meta:: - :description: کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون به فارسی - درس دوم نصب و راه‌اندازی پایتون + :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس دوم: نصب و راه‌اندازی پایتون :keywords: پایتون, آموزش برنامه نویسی, آموزش پایتون, نصب پایتون در ویندوز, نصب پایتون در لینوکس, سیستم مدیریت بسته پایتون, pip, راه اندازی پایتون, دانلود پایتون, آموزش pip +.. _lesson-02: درس ۰۲: نصب و راه‌اندازی پایتون ================================ @@ -28,6 +29,8 @@ ---- +.. _download: + دانلود -------- برای ترجمه و اجرای سورس کد ایجاد شده به زبان پایتون لازم است «بسته نصبی پایتون» (همان CPython یا اگر ساده بگوییم: پایتون) که شامل مفسر، کتابخانه استاندارد، برنامه `IDLE `_ (ویرایشگر پیش‌فرض پایتون) و... است را دانلود و بر روی سیستم عامل نصب نماییم. @@ -41,16 +44,21 @@ `Path `_ یکی از «متغیر‌های محیطی» (`Environment Variables `_) سیستم عامل است. این متغیر حاوی فهرست دایرکتوری‌هایی می‌باشد که سیستم عامل در آن‌ها به دنبال یک فایل اجرایی هم نام با دستور وارد شده در خط فرمان می‌گردد. -هم اکنون این بسته بر پایه دو نسخه‌ متفاوت پایتون (2x و 3x) از `صفحه‌ دانلود آن `_، متناسب با نوع سیستم عامل و معماری پردازنده قابل دانلود است (اندازه:‌ تقریبا بین ۱۲ تا ۲۵ مگابایت) که برای نصب در ویندوز به شکل یک `فایل نصبی `_ (با قالب msi) و متناسب با دو معماری 32 (x86) و 64 (AMD64 ،EM64T ،x64 ،x86-64) بیتی منتشر می‌گردد و در صورت نیاز برای نصب آن در گنو‌لینوکس می‌بایست `سورس کد آن `_ (که به زبان C است) را دانلود نمایید. +هم اکنون این بسته از `صفحه‌ دانلود آن `_، متناسب با نوع سیستم عامل و معماری پردازنده قابل دانلود است (اندازه:‌ تقریبا ۲۵ مگابایت) که برای نصب در ویندوز به شکل یک `فایل نصبی `_ (با قالب msi) و متناسب با دو معماری 32 (x86) و 64 (AMD64 ،EM64T ،x64 ،x86-64) بیتی منتشر می‌گردد و در صورت نیاز برای نصب آن در گنو‌لینوکس می‌بایست `سورس کد آن `_ (که به زبان C است) را دانلود نمایید. .. note:: - امکان نصب نسخه‌های متفاوت پایتون (حتی از یک شاخه) در کنار یکدیگر وجود دارد. + امکان نصب نسخه‌های متفاوت پایتون در کنار یکدیگر وجود دارد. + +در هنگام آخرین ویرایش این درس نسخه‌ 3.11.2 جدیدترین نسخه‌ منتشر یافته‌ پایتون است. برای دسترسی به جدید‌ترین ویژگی‌ها، پیشنهاد می‌شود همیشه جدیدترین نسخه‌ موجود از پایتون را دانلود نمایید. + +**با توجه به اینکه تغییر ملموسی در شیوه نصب پایتون ایجاد نگردیده، از بروزرسانی تصاویر و دستورات صرف نظر گردیده است.** + -در هنگام نگارش این درس دو نسخه‌ 2.7.9 و 3.4.2 جدیدترین نسخه‌های منتشر یافته‌ پایتون هستند. برای دسترسی به جدید‌ترین ویژگی‌ها، پیشنهاد می‌شود همیشه جدیدترین نسخه‌ موجود از پایتون را دانلود نمایید. +.. _setup-on-windows: نصب در ویندوز --------------- -درست به مانند هر برنامه‌ دیگری در ویندوز، نصب به راحتی تنها با چند بار کلیک بر روی دکمه‌ Next به پایان می‌رسد. پیشنهاد می‌شود مسیر پیش‌فرض نصب (مثلا برای نصب نسخه‌ 3.4.2:‌ \\C:\\Python34) را تغییر ندهید. +درست به مانند هر برنامه‌ دیگری در ویندوز، نصب به راحتی تنها با چند بار کلیک بر روی دکمه‌ Next به پایان می‌رسد. پیشنهاد می‌شود مسیر پیش‌فرض نصب (مثلا برای نصب نسخه‌ 3.4.2:‌ ``C:\Python34``) را تغییر ندهید. قابل ذکر است که در نسخه‌های جدیدتر این مسیر به داخل فولدر Program Files انتقال یافته است، برای مثال برای نسخه 3.11.2 مسیر پیش‌فرض نصب ``C:\Program Files\Python311`` خواهد بود. در هنگام نصب نسخه‌‌ای که قصد دارید از آن به صورت نسخه‌ پیش‌فرض پایتون خود استفاده نمایید، به این نکته توجه داشته باشید که در مرحله‌ سفارشی‌سازی (Customize) گزینه‌ افزودن خودکار مسیر مفسر پایتون به متغیر Path ویندوز را فعال نمایید (همانند تصویر پایین). در این صورت با وارد کردن دستور ``python`` در خط فرمان ویندوز، مفسر پایتون (این نسخه) فراخوانی می‌شود. برای شروع، با وارد کردن دستور ``python –V`` یا ``python --version`` می‌توانید از نسخه‌ پایتون نصب شده آگاهی یابید: @@ -77,7 +85,8 @@ البته امکان دستکاری Path در هر زمانی وجود دارد: -مسیر Control Panel > System > Advanced system settings > Advanced را طی کرده و سپس با کلیک بر روی Environment Variables پنجره‌ جدیدی باز می‌گردد که در قسمت System variables آن Path را پیدا و انتخاب نمایید. بر روی Edit در پایین همان پنجره کلیک کرده و عبارت ``;C:\Python34;C:\Python34\Scripts`` (برای نسخه 3.4) یا ``;C:\Python27;C:\Python27\Scripts`` (برای نسخه 2.7) را به ابتدای متن موجود در قسمت Variable value پنجره‌ جدید وارد و سپس بر روی دکمه‌ OK کلیک نمایید. :) +مسیر Control Panel > System > Advanced system settings > Advanced را طی کرده و سپس با کلیک بر روی Environment Variables پنجره‌ جدیدی باز می‌گردد که در قسمت System variables آن Path را پیدا و انتخاب نمایید. بر روی Edit در پایین همان پنجره کلیک کرده و عبارت ``;C:\Python34;C:\Python34\Scripts`` (برای نسخه 3.4) را به ابتدای متن موجود در قسمت Variable value پنجره‌ جدید وارد و سپس بر روی دکمه‌ OK کلیک نمایید. :) + .. image:: /_static/l02-add-path-on-windows.png :align: center @@ -100,6 +109,7 @@ > py -3.3 --version 3.3.5 +.. _setup-on-linux: نصب در گنولینوکس ------------------ @@ -117,7 +127,7 @@ python 3.4.0 .. note:: - از آنجا که هنوز (اوایل ۲۰۱۵) نسخه‌ 2x، نسخه‌ پیش‌فرض پایتون در اکثر توزیع‌های گنولینوکس است، بنابراین دستور ``python --version`` نیز موجب فراخوانی مفسر پایتون نسخه‌ 2x و نمایش نسخه‌ آن می‌شود. + هم اکنون نسخه‌ 3x، نسخه‌ پیش‌فرض پایتون در اکثر توزیع‌های گنولینوکس است، بنابراین دستور ``python --version`` نیز موجب فراخوانی مفسر پایتون نسخه‌ 3x و نمایش نسخه‌ آن می‌شود. `Arch Linux `_ نخستین توزیع از گنولینوکس است که نسخه‌ 3x را به عنوان نسخه پیش‌فرض پایتون خود قرار داده است. @@ -251,14 +261,17 @@ Python 3.4.2 .. note:: - به صورت کلی برای فراخوانی پایتون نسخه 3x از یکی از دستورات ``python3.4`` ،``python3`` یا ``python3.x`` که x بیانگر بخش جزئی نسخه پایتون می‌باشد و برای نسخه 2x نیز از دستورات ``python2.7`` ،``python2`` ،``python`` یا ``python2.x`` استفاده می‌گردد. در این راستا چنانچه پایتون در مسیری خاص نصب گردد لازم است مسیر آن به متغیر Path اضافه شود. برای فراخوانی pip و IDLE هر نسخه نیز از همین رویه پیروی می‌شود. + به صورت کلی برای فراخوانی پایتون نسخه 3x از یکی از دستورات ``python3.4``، ``python3``، ``python`` یا ``python3.x`` که x بیانگر بخش جزئی نسخه پایتون می‌باشد و برای نسخه 2x نیز از دستورات ``python2.7`` ،``python2`` یا ``python2.x`` استفاده می‌گردد. در این راستا چنانچه پایتون در مسیری خاص نصب گردد لازم است مسیر آن به متغیر Path اضافه شود. برای فراخوانی pip و IDLE هر نسخه نیز از همین رویه پیروی می‌شود. + + +.. _python-pip: سیستم مدیریت بسته ------------------- `pip `_ (پِپ) سیستم مدیریت بسته‌‌ پایتون است. pip ابزاری است مبتنی بر خط فرمان که از آن برای نصب، حذف، بروز رسانی و در کل مدیریت بسته‌های (یا کتابخانه‌ها‌ی شخص ثالث) پایتون استفاده می‌گردد. برنامه‌نویس پس از یافتن بسته‌ مورد نیاز خود در PyPI یا وب‌سایت‌ها و سرویس‌های دیگری به مانند github.com و bitbucket.com می‌تواند به وسیله دستور pip در خط فرمان، اقدام به نصب آن در پایتون نماید. .. tip:: - `PyPI `_ (پای‌پِ) یا مخزن بسته‌های پایتون (Python Package Index) محلی است که بسیاری از کتابخانه‌ها یا برنامه‌های شخص ثالث پایتون در آن نگه داری می‌شود. کاربران پایتون می‌توانند از طریق PyPI پروژه (یا بسته) خود را منتشر یا اقدام به جستجو و دانلود بسته‌های مورد نیاز خود نمایند. + `PyPI `_ (پای‌پِ) یا مخزن بسته‌های پایتون (Python Package Index) محلی است که بسیاری از کتابخانه‌ها یا برنامه‌های شخص ثالث پایتون در آن نگه داری می‌شود. کاربران پایتون می‌توانند از طریق PyPI پروژه (یا بسته) خود را منتشر یا اقدام به جستجو و دانلود بسته‌های مورد نیاز خود نمایند. آشنایی با مخازنی همچون PyPI و استفاده از pip در توسعه پروژه‌های پایتونی اهمیت بالایی دارد. برای مثال فرض نمایید در پروژه خود می‌بایست تاریخ را با فرمت جلالی نمایش دهید. راه‌حل ابتدایی، توسعه کدها یا ماژولی برای تبدیل تاریخ میلادی (پیش‌فرض در پایتون) به جلالی توسط خودتان می‌باشد. راه‌حل دیگر اما جستجو برای یافتن کتابخانه‌ یا ماژول‌هایی است که پیش‌تر توسط دیگران توسعه یافته و در مخازنی همانند PyPI منتشر یافته است. در این شرایط برای دسترسی به این کتابخانه‌ها‌ی شخص ثالث تنها کافی است با استفاده از pip آن‌ها را مجموعه کتابخانه‌های داخل رایانه خود اضافه نمایید. @@ -363,12 +376,13 @@ pip از زمان انتشار نسخه‌ 3.4 به بسته‌ نصبی پای user> pip show SomePackage -* نصب تمام بسته‌هایی که درون یک فایل متنی به مانند requirements.txt مشخص شده است (`فایل نمونه `__):: +* نصب تمام بسته‌هایی که درون یک فایل متنی به مانند requirements.txt مشخص شده است (`فایل نمونه `__):: root> pip install -r requirements.txt +.. _python-pip-user: user-- ~~~~~~~~ @@ -381,7 +395,7 @@ user-- شیوه دیگر استفاده از ``user--`` در میان دستور ماژول pip می‌باشد. این یک روش ساده برای پرهیز از نیاز به دسترسی root (دستور sudo) یا Administrator می‌باشد. در این شرایط ماژول pip هر بسته مورد نیاز را در محیط کاربری، کاربر جاری نگهداری می‌کند:: - user> pip3 install --user bottle + user> pip install --user bottle | @@ -389,6 +403,4 @@ user-- :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - From 0f4fde4d1cb4a4531df81fd426c834c999bdaa9a Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 1 Apr 2023 03:50:04 +0330 Subject: [PATCH 13/74] edited l03, part 1 --- source/index.rst | 2 +- ...> l03-create-and-run-a-python-project.rst} | 70 +++++++------------ 2 files changed, 27 insertions(+), 45 deletions(-) rename source/lessons/{l03.rst => l03-create-and-run-a-python-project.rst} (81%) diff --git a/source/index.rst b/source/index.rst index f7b7e4d..1044728 100644 --- a/source/index.rst +++ b/source/index.rst @@ -30,7 +30,7 @@ preface lessons/l01-introduction-to-python lessons/l02-setup-python - lessons/l03 + lessons/l03-create-and-run-a-python-project lessons/l04 lessons/l05 lessons/l06 diff --git a/source/lessons/l03.rst b/source/lessons/l03-create-and-run-a-python-project.rst similarity index 81% rename from source/lessons/l03.rst rename to source/lessons/l03-create-and-run-a-python-project.rst index 326836e..3daabe1 100644 --- a/source/lessons/l03.rst +++ b/source/lessons/l03-create-and-run-a-python-project.rst @@ -1,10 +1,12 @@ .. role:: emoji-size .. meta:: - :description: کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون به فارسی - درس سوم ایجاد و اجرای پروژه از پایتون + :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس سوم: چگونگی ایجاد و اجرای یک پروژه پایتون :keywords: پایتون,آموزش پایتون, آموزش برنامه نویسی, ایجاد پروژه پایتون, اسکریپت پایتون, ماژول پایتون, بسته پایتون, ساختار پایتون, پروژه پایتون, سورس کد, سورس کد پایتون, اجرای پایتون, اسکریپت, ماژول, pyvenv, virtualenv +.. _lesson-03: + درس ۰۳: چگونگی ایجاد و اجرای یک پروژه پایتون ============================================= @@ -27,9 +29,10 @@ ---- +.. _project-structure: + ساختار پروژه -------------- -نخستین گام در توسعه‌ یک برنامه پایتون ایجاد یک پروژه است که پس از آن نوشتن کدها یا ایجاد سورس کد (`Source code `_) برنامه آغاز می‌شود. سورس کد یک پروژه به زبان پایتون در قالب یک یا چند «ماژول» (Module) توسعه می‌یابد که در سورس کدهایی با بیش از یک ماژول بهتر است ماژول‌هایی که از نظر منطقی با یکدیگر مرتبط هستند را درون دایرکتوری‌هایی مجزا قرار دهیم که به این نوع دایرکتوری‌ها در زبان پایتون «بسته» (Package) گفته می‌شود. @@ -37,16 +40,16 @@ یک یا چند ماژول درون یک دایرکتوری مشخص تشکیل یک بسته را می‌دهند و هر بسته خود می‌تواند حاوی بسته‌(های) دیگری باشد. .. note:: - از نسخه 3.3 پایتون با افزوده شدن ویژگی جدیدی به نام «بسته فضانام» (Namespace Package - `PEP 420 `_)، تعریف بسته پایتون به دو شاخه «بسته عادی» (Regular Package) که همان تعریف قدیمی از بسته می‌باشد و بسته فضانام گسترش یافته است. [در درس مربوط به ماژول‌ها بیشتر توضیح داده خواهد شد] + از نسخه 3.3 پایتون با افزوده شدن ویژگی جدیدی به نام «بسته فضانام» (Namespace Package - `PEP 420 `_)، تعریف بسته پایتون به دو شاخه «بسته عادی» (Regular Package) که همان تعریف قدیمی از بسته می‌باشد و بسته فضانام گسترش یافته است. در انتهای این درس به تفاوت این دو بسته پرداخته خواهد شد. در تعریف زبان پایتون دو نوع ماژول وجود دارد: -۱- Pure Module (ماژول ناب)، همان تعریف عادی از ماژول پایتون است؛ فایل‌هایی با پسوند py که کد (تعاریف و دستورات) پایتون در آن‌ها نوشته می‌شوند. +۱- Pure Module (ماژول عادی)، همان تعریف عادی از ماژول پایتون است؛ فایل‌هایی با پسوند py که کد (تعاریف و دستورات) پایتون در آن‌ها نوشته می‌شوند. -۲- Extension Module (ماژول توسعه)، ماژول‌هایی که توسط زبان‌های برنامه‌نویسی دیگری به غیر از پایتون ایجاد شده‌اند. از درس یکم به خاطر داریم که پایتون یک زبان توسعه‌پذیر است و در کنار آن می‌توان از کد‌های نوشته شده با دیگر زبان‌های برنامه‌نویسی استفاده نمود: به مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython یا #C در پیاده‌سازی IronPython - [ایجاد و استفاده از این نوع ماژول در درسی جداگانه بررسی خواهد شد.] +۲- Extension Module (ماژول توسعه)، ماژول‌هایی که توسط زبان‌های برنامه‌نویسی دیگری به غیر از پایتون ایجاد شده‌اند. از درس یکم به خاطر داریم که پایتون یک زبان توسعه‌پذیر است و در کنار آن می‌توان از کد‌های نوشته شده با دیگر زبان‌های برنامه‌نویسی استفاده نمود: به مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython یا #C در پیاده‌سازی IronPython - بررسی این نوع ماژول خارج از حوزه این کتاب است. در صورت علاقه برای مطالعه بیشتر می‌توانید به مستندات پایتون مراجعه (`Python/C API Reference `_) یا کتاب Python 3.6 Extending and Embedding Python نوشته Guido Van Rossum را تهیه نمایید. .. note:: - از این پس هر جایی از کتاب که گفته شود «ماژول» منظور Pure Module خواهد بود، مگر اینکه نام «ماژول توسعه» به صراحت ذکر گردد. + از این پس هر جایی از این کتاب که گفته شود «ماژول» منظور Pure Module خواهد بود، مگر اینکه نام «ماژول توسعه» به صراحت ذکر گردد. در ایجاد یک پروژه از پایتون هیچ اجباری به رعایت ساختار خاصی نیست و حتی سورس کد یک پروژه می‌تواند تنها شامل یک ماژول باشد. به عنوان نمونه، شمای پایین از پروژه فرضی SampleProject را در نظر بگیرید: @@ -62,66 +65,45 @@ └── module_three.py .. tip:: - در پایتون هر بسته‌ (عادی) می‌بایست حاوی فایل ویژه‌‌‌ init\_\_.py_\_\ باشد که البته الزامی به کدنویسی درون این فایل وجود ندارد. این فایل دایرکتوری خود را به عنوان یک بسته (محلی برای یافتن ماژول‌ها) به مفسر پایتون معرفی می‌کند. + در پایتون هر **بسته‌ عادی** می‌بایست حاوی فایل ویژه‌‌‌ init\_\_.py_\_\ باشد که البته الزامی به کدنویسی درون این فایل وجود ندارد. این فایل دایرکتوری خود را به عنوان یک بسته (محلی برای یافتن ماژول‌های مرتبط) به مفسر پایتون معرفی می‌کند. در ایجاد سورس کد باید به صورتی عمل شود که با اجرای یک ماژول‌ مشخص تمام برنامه اجرا گردد. این ماژول معمولا هم نام پروژه در نظر گرفته و با عنوان «اسکریپت» (Script) از آن یاد می‌شود (اینجا:‌ sample_project.py). در واقع اسکریپت، ماژولی است که با هدف اجرای برنامه توسعه می‌یابد و ایجاد سورس کد نیز از آن شروع می‌گردد. از طرفی همانطور که می‌دانیم یکی از ویژگی‌های پایتون امکان برنامه نویسی ماژولار (`Modular `_) است به این صورت که می‌توان کد‌های خود را بر حسب نیاز در ماژول‌هایی جداگانه نوشت و با وارد کردن (Import) آن‌ها در اسکریپت (یا ماژول‌های دیگر) از کد درون آن‌ها استفاده نمود. با این منطق می‌شود سورس کد یک پروژه از پایتون را تنها شامل یک اسکریپت تصور کرد که می‌تواند توسط تعدادی ماژول گسترش یابد؛ البته ممکن است ماژول‌ها نیز بر حسب نیاز در بسته‌هایی جداگانه قرار گرفته باشند. .. tip:: [`PEP 8 `_]: در نام‌گذاری ماژول‌ها تنها از حروف کوچک استفاده می‌شود و در صورت نیاز می‌توان از کاراکتر خط زیرین (``_``) نیز استفاده نمود. نام بسته‌ها کوتاه بوده و از حروف کوچک تشکیل می‌گردد؛ استفاده از ``_`` در نام بسته پیشنهاد نمی‌شود. -اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. در غیر این صورت می‌توانید به بخش بعدی از همین درس `پرش <#id7>`_ نمایید. +اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. در غیر این صورت می‌توانید به بخش بعدی از همین درس `پرش <#source-code>`_ نمایید. جدا از سورس کد لازم است موارد دیگری نیز در ساختار این نوع پروژه‌ها در نظر گرفته شود؛ به ساختار پایین توجه نمایید: .. code:: - SampleProject + my_project . - ├── docs/ + ├── pyproject.toml + │ ├── LICENSE.txt - ├── MANIFEST.in ├── README.rst ├── requirements.txt - ├── sampleproject/ - │ ├── __init__.py - │ ├── module_one.py - │ ├── pakage/ - │ │ ├── __init__.py - │ │ ├── module_two.py - │ │ └── module_three.py - │ ├── sample_project.py - │ └── test/ - ├── setup.cfg - └── setup.py - -ساختار ابتدایی تنها شامل سورس کد می‌بود ولی در این ساختار تمام سورس کد در قالب یک بسته پایتون بخشی از مجموعه بزرگتری است که در آن یک سری فایل به مانند requirements.txt ،README.rst و setup.py به همراه دو دایرکتوری docs و test افزوده شده است. -در ادامه کمی از کاربرد این موارد توضیح داده می‌شود ولی تاکید می‌شود که در حال حاضر نیازی به رعایت این ساختار نیست و در انتهای کتاب با ایجاد یک پروژه عملی و قرار دادن آن بر روی github.com و PyPI به صورت کاربردی با آن‌ها آشنا خواهید شد. [برای کسب اطلاعات بیشتر می‌توانید از `اسناد پایتون `_ استفاده نمایید] - -**setup.py**: این فایل مهم دو کارکرد دارد: -۱- پیکربندی پروژه که از طریق آرگومان‌های تابع آماده ``()setup`` درون این فایل صورت می‌پذیرد. -۲- یک رابط خط فرمان برای اجرای دستورات کاربردی مرتبط با پروژه (الگویی مشابه: ```_ داشته و در صورت نیاز گزینه‌های مربوط به دستورات خط فرمان setup.py در این فایل تعریف می‌گردند. برای مشاهده فهرست گزینه‌های یک دستور مشخص می‌توانید از الگوی ```_ استفاده می‌گردد و به همین دلیل این اسناد پسوند rst دارند که البته اجباری به این مورد نیست و می‌توانید برای ایجاد این فایل از `Markdown `_ (پسوند md) نیز استفاده نمایید. - -**MANIFEST.in**: معمولا از این فایل برای معرفی فایل‌های غیر پایتونی موجود در پروژه استفاده می‌شود. زمانی که قصد ایجاد «سورس توزیع» یا sdist از پروژه را داشته باشید (دستوری مشابه: ``python setup.py sdist``) تنها `فایل‌های مشخصی `_ از پروژه شناسایی می‌شوند و شناساندن باقی فایل‌ها (در صورت وجود) می‌بایست توسط این فایل (البته با `الگویی خاص `_) انجام گیرد. + │ + ├── src/ + │ └── unique_pakage_name/ + │ ├── __init__.py + │ └── main.py + │ + ├── docs/ + └── test/ -**requirements.txt**: از این فایل برای معرفی کتابخانه‌های خاصی که در پروژه استفاده شده‌اند و در زمان نصب یا اجرای سورس کد، وجود یا نصب بودن آن‌ها نیز ضروری است، استفاده می‌گردد. -**LICENSE.txt**: این فایل پروانه‌ انتشار پروژه را شامل می‌شود و اغلب حاوی یک کپی از متن پروانه‌های متن باز رایج به مانند `MIT `_ ،`GPL `_ یا `BSD `_ می‌باشد. +ساختار ابتدایی تنها شامل سورس کد می‌بود ولی در این ساختار تمام سورس کد در قالب یک بسته پایتون بخشی از مجموعه بزرگتری است که در آن یک سری فایل به مانند requirements.txt ،README.rst و pyproject.toml افزوده شده است. تاکید می‌شود که در حال حاضر نیازی به رعایت این ساختار و ایجاد تمامی این فایل‌ها نیست. -.. note:: - لازم است تمامی فایل‌های یاد شده و دایرکتوری docs در بالاترین شاخه از دایرکتوری پروژه قرار داده شوند. +اکنون می توان از روی این پروژه یک توزیع (Distribution) ایجاد و آن را با استفاده از ابزارهایی به مانند `Twine `_ یا `Poetry `_ بر روی PyPI منتشر ساخت. [برای کسب اطلاعات بیشتر می‌توانید از `اسناد پایتون `_ استفاده نمایید] -**docs**: در این دایرکتوری اسناد (راهنما، آموزش و...) پروژه قرار داده می‌شوند. ایجاد این اسناد توسط `Sphinx `_ در درسی جداگانه بررسی خواهد شد. +در صورت علاقه می‌توانید نگاهی نیز به پروژه `saeiddrv/PackagingPythonProjects `_ بیاندازید که تمامی مراحل را به صورت کاربردی پیاده‌سازی کرده است. -**test**: این دایرکتوری محل نگهداری برنامه تست پروژه می‌باشد. ایجاد تست پروژه نیز در درسی جداگانه بررسی می‌گردد. این دایرکتوری می‌تواند هم در بالا ترین شاخه از پروژه و هم در داخل دایرکتوری سورس کد قرار داده شود. -با ایجاد یک توزیع (Distribution) از این ساختار و انتشار آن [که در آینده خواهید آموخت]، امکان نصب پروژه از طریق pip به وجود می‌آید. معمولا به جای واژه «توزیع» از واژه «بسته» (Package) استفاده می‌گردد؛ همانطور که pip نیز «سیستم مدیریت بسته پایتون» نامیده می‌شود و هیچگاه نباید آن را با مفهوم «بسته» که تا پیش از این مطرح شده است اشتباه گرفت. +.. _source-code: ایجاد سورس کد --------------- From 5e04598ea11ef54355ec0e4d9f5b8e979138507f Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 1 Apr 2023 10:31:27 +0330 Subject: [PATCH 14/74] edited l03 --- .../l03-create-and-run-a-python-project.rst | 100 +++++++++++------- 1 file changed, 59 insertions(+), 41 deletions(-) diff --git a/source/lessons/l03-create-and-run-a-python-project.rst b/source/lessons/l03-create-and-run-a-python-project.rst index 3daabe1..664cfb8 100644 --- a/source/lessons/l03-create-and-run-a-python-project.rst +++ b/source/lessons/l03-create-and-run-a-python-project.rst @@ -29,9 +29,9 @@ ---- -.. _project-structure: +.. _definations: -ساختار پروژه +تعاریف -------------- سورس کد یک پروژه به زبان پایتون در قالب یک یا چند «ماژول» (Module) توسعه می‌یابد که در سورس کدهایی با بیش از یک ماژول بهتر است ماژول‌هایی که از نظر منطقی با یکدیگر مرتبط هستند را درون دایرکتوری‌هایی مجزا قرار دهیم که به این نوع دایرکتوری‌ها در زبان پایتون «بسته» (Package) گفته می‌شود. @@ -40,68 +40,41 @@ یک یا چند ماژول درون یک دایرکتوری مشخص تشکیل یک بسته را می‌دهند و هر بسته خود می‌تواند حاوی بسته‌(های) دیگری باشد. .. note:: - از نسخه 3.3 پایتون با افزوده شدن ویژگی جدیدی به نام «بسته فضانام» (Namespace Package - `PEP 420 `_)، تعریف بسته پایتون به دو شاخه «بسته عادی» (Regular Package) که همان تعریف قدیمی از بسته می‌باشد و بسته فضانام گسترش یافته است. در انتهای این درس به تفاوت این دو بسته پرداخته خواهد شد. + از نسخه 3.3 پایتون با افزوده شدن ویژگی جدیدی به نام «بسته فضانام» (Namespace Package - `PEP 420 `_)، تعریف بسته پایتون به دو شاخه «بسته عادی» (Regular Package) که همان تعریف قدیمی از بسته می‌باشد و بسته فضانام گسترش یافته است. + + در واقع، تا قبل از پایتون 3.3 هر بسته پایتون می‌بایست حاوی یک فایل ``init__.py__`` باشد ولی اکنون نیازی به این فایل نیست و مفسر پایتون اکنون می‌تواند تمامی بسته‌های داخل پرو‌ژه را محل یابی کند. در این درس به منظور شفاف‌سازی بسته‌ها از روش Regular Package استفاده خواهد شد. در تعریف زبان پایتون دو نوع ماژول وجود دارد: -۱- Pure Module (ماژول عادی)، همان تعریف عادی از ماژول پایتون است؛ فایل‌هایی با پسوند py که کد (تعاریف و دستورات) پایتون در آن‌ها نوشته می‌شوند. +۱- Pure Module (ماژول عادی)، همان تعریف عادی از ماژول پایتون است؛ فایل‌هایی با پسوند py که کد (تعاریف و دستورات) به زبان پایتون در آن‌ها نوشته می‌شود. -۲- Extension Module (ماژول توسعه)، ماژول‌هایی که توسط زبان‌های برنامه‌نویسی دیگری به غیر از پایتون ایجاد شده‌اند. از درس یکم به خاطر داریم که پایتون یک زبان توسعه‌پذیر است و در کنار آن می‌توان از کد‌های نوشته شده با دیگر زبان‌های برنامه‌نویسی استفاده نمود: به مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython یا #C در پیاده‌سازی IronPython - بررسی این نوع ماژول خارج از حوزه این کتاب است. در صورت علاقه برای مطالعه بیشتر می‌توانید به مستندات پایتون مراجعه (`Python/C API Reference `_) یا کتاب Python 3.6 Extending and Embedding Python نوشته Guido Van Rossum را تهیه نمایید. +۲- Extension Module (ماژول توسعه)، ماژول‌هایی که توسط زبان‌های برنامه‌نویسی دیگری به غیر از پایتون تهیه شده‌اند. از درس یکم به خاطر داریم که پایتون یک زبان توسعه‌پذیر است و در کنار آن می‌توان از کد‌های نوشته شده با دیگر زبان‌های برنامه‌نویسی استفاده نمود: به مانند C و ++C در پیاده‌سازی CPython یا Java در پیاده‌سازی Jython یا #C در پیاده‌سازی IronPython - بررسی این نوع ماژول خارج از حوزه این کتاب است. در صورت علاقه برای مطالعه بیشتر می‌توانید به مستندات پایتون مراجعه (`Python/C API Reference `_) یا کتاب Python 3.6 Extending and Embedding Python نوشته Guido Van Rossum را تهیه نمایید. .. note:: از این پس هر جایی از این کتاب که گفته شود «ماژول» منظور Pure Module خواهد بود، مگر اینکه نام «ماژول توسعه» به صراحت ذکر گردد. -در ایجاد یک پروژه از پایتون هیچ اجباری به رعایت ساختار خاصی نیست و حتی سورس کد یک پروژه می‌تواند تنها شامل یک ماژول باشد. به عنوان نمونه، شمای پایین از پروژه فرضی SampleProject را در نظر بگیرید: +در ایجاد یک پروژه از پایتون هیچ اجباری به رعایت ساختار خاصی نیست و سورس کد یک پروژه می‌تواند تنها شامل یک ماژول (فایل با پسوند py.) باشد. به عنوان نمونه، شمای پایین از پروژه فرضی SampleProject را در نظر بگیرید: .. code:: SampleProject . ├── sample_project.py - ├── module_one.py └── pakage/ ├── __init__.py ├── module_two.py - └── module_three.py + └── module_one.py .. tip:: - در پایتون هر **بسته‌ عادی** می‌بایست حاوی فایل ویژه‌‌‌ init\_\_.py_\_\ باشد که البته الزامی به کدنویسی درون این فایل وجود ندارد. این فایل دایرکتوری خود را به عنوان یک بسته (محلی برای یافتن ماژول‌های مرتبط) به مفسر پایتون معرفی می‌کند. + در پایتون هر **Regular Package** می‌بایست حاوی فایل ویژه‌‌‌ ``init__.py__`` باشد که البته الزامی به کدنویسی درون این فایل وجود ندارد. این فایل دایرکتوری خود را به عنوان یک بسته (محلی برای یافتن ماژول‌های مرتبط) به مفسر پایتون معرفی می‌کند. -در ایجاد سورس کد باید به صورتی عمل شود که با اجرای یک ماژول‌ مشخص تمام برنامه اجرا گردد. این ماژول معمولا هم نام پروژه در نظر گرفته و با عنوان «اسکریپت» (Script) از آن یاد می‌شود (اینجا:‌ sample_project.py). در واقع اسکریپت، ماژولی است که با هدف اجرای برنامه توسعه می‌یابد و ایجاد سورس کد نیز از آن شروع می‌گردد. از طرفی همانطور که می‌دانیم یکی از ویژگی‌های پایتون امکان برنامه نویسی ماژولار (`Modular `_) است به این صورت که می‌توان کد‌های خود را بر حسب نیاز در ماژول‌هایی جداگانه نوشت و با وارد کردن (Import) آن‌ها در اسکریپت (یا ماژول‌های دیگر) از کد درون آن‌ها استفاده نمود. با این منطق می‌شود سورس کد یک پروژه از پایتون را تنها شامل یک اسکریپت تصور کرد که می‌تواند توسط تعدادی ماژول گسترش یابد؛ البته ممکن است ماژول‌ها نیز بر حسب نیاز در بسته‌هایی جداگانه قرار گرفته باشند. +در ایجاد سورس کد باید به صورتی عمل شود که با اجرای یک ماژول‌ مشخص تمام برنامه اجرا گردد. این ماژول معمولا هم نام پروژه در نظر گرفته و با عنوان «اسکریپت» (Script) از آن یاد می‌شود (اینجا:‌ sample_project.py). در واقع اسکریپت، ماژولی است که با هدف اجرای برنامه توسعه می‌یابد و ایجاد سورس کد نیز از آن شروع می‌گردد. .. tip:: - [`PEP 8 `_]: در نام‌گذاری ماژول‌ها تنها از حروف کوچک استفاده می‌شود و در صورت نیاز می‌توان از کاراکتر خط زیرین (``_``) نیز استفاده نمود. نام بسته‌ها کوتاه بوده و از حروف کوچک تشکیل می‌گردد؛ استفاده از ``_`` در نام بسته پیشنهاد نمی‌شود. - -اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. در غیر این صورت می‌توانید به بخش بعدی از همین درس `پرش <#source-code>`_ نمایید. - -جدا از سورس کد لازم است موارد دیگری نیز در ساختار این نوع پروژه‌ها در نظر گرفته شود؛ به ساختار پایین توجه نمایید: - - -.. code:: - - my_project - . - ├── pyproject.toml - │ - ├── LICENSE.txt - ├── README.rst - ├── requirements.txt - │ - ├── src/ - │ └── unique_pakage_name/ - │ ├── __init__.py - │ └── main.py - │ - ├── docs/ - └── test/ - - -ساختار ابتدایی تنها شامل سورس کد می‌بود ولی در این ساختار تمام سورس کد در قالب یک بسته پایتون بخشی از مجموعه بزرگتری است که در آن یک سری فایل به مانند requirements.txt ،README.rst و pyproject.toml افزوده شده است. تاکید می‌شود که در حال حاضر نیازی به رعایت این ساختار و ایجاد تمامی این فایل‌ها نیست. - -اکنون می توان از روی این پروژه یک توزیع (Distribution) ایجاد و آن را با استفاده از ابزارهایی به مانند `Twine `_ یا `Poetry `_ بر روی PyPI منتشر ساخت. [برای کسب اطلاعات بیشتر می‌توانید از `اسناد پایتون `_ استفاده نمایید] - -در صورت علاقه می‌توانید نگاهی نیز به پروژه `saeiddrv/PackagingPythonProjects `_ بیاندازید که تمامی مراحل را به صورت کاربردی پیاده‌سازی کرده است. + هر پروژه پایتون باید حاوی یک و تنها یک اسکریپت باشد ولی می‌تواند هیچ، یک یا چند ماژول داشته باشد که این ماژول‌ها نیز می‌توانند در قالب بسته‌هایی جداگانه سازمان‌دهی شوند. +.. tip:: + [`PEP 8 `_]: در نام‌گذاری ماژول‌ها تنها از حروف کوچک استفاده می‌شود و در صورت نیاز می‌توان از کاراکتر خط زیرین (``_``) نیز استفاده نمود (اما پیشنهاد نمی‌شود). نام بسته‌ها کوتاه بوده و از حروف کوچک تشکیل می‌گردد. .. _source-code: @@ -280,6 +253,13 @@ IDE یا Integrated development environment به ابزارهایی گفته می‌شود که علاوه‌بر یک ویرایشگر متن پیشرفته، امکانات بسیار کاربردی دیگری را نیز به مانند دیباگر (`Debugger `__) در اختیار برنامه‌نویس قرار می‌دهد. +.. _python-import: + +دستور import +--------------- + + + پشت صحنه اجرا --------------- زمانی که اقدام به اجرای یک اسکریپت می‌کنید؛ ابتدا، اسکریپت و تمام ماژول‌های وارد شده در آن به بایت‌کد کامپایل و سپس بایت‌کد‌های حاصل جهت تفسیر به زبان ماشین و اجرا، به ماشین مجازی فرستاده می‌شوند. آنچه ما از آن به عنوان مفسر پایتون (پیاده‌سازی CPython) یاد می‌کنیم در واقع ترکیبی از یک کامپایلر و یک ماشین مجازی است. تصویر پایین به خوبی روند اجرای کدهای پایتون را نمایش می‌دهد. @@ -420,6 +400,44 @@ pyvenv > +.. _packaging-projects: + +انتشار پروژه +-------------- + + +اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. در غیر این صورت می‌توانید به بخش بعدی از همین درس `پرش <#source-code>`_ نمایید. + +جدا از سورس کد لازم است موارد دیگری نیز در ساختار این نوع پروژه‌ها در نظر گرفته شود؛ به ساختار پایین توجه نمایید: + + +.. code:: + + my_project + . + ├── pyproject.toml + │ + ├── LICENSE.txt + ├── README.rst + ├── requirements.txt + │ + ├── src/ + │ └── unique_pakage_name/ + │ ├── __init__.py + │ └── main.py + │ + ├── docs/ + └── test/ + + +ساختار ابتدایی تنها شامل سورس کد می‌بود ولی در این ساختار تمام سورس کد در قالب یک بسته پایتون بخشی از مجموعه بزرگتری است که در آن یک سری فایل به مانند requirements.txt ،README.rst و pyproject.toml افزوده شده است. تاکید می‌شود که در حال حاضر نیازی به رعایت این ساختار و ایجاد تمامی این فایل‌ها نیست. + +اکنون می توان از روی این پروژه یک توزیع (Distribution) ایجاد و آن را با استفاده از ابزارهایی به مانند `Twine `_ یا `Poetry `_ بر روی PyPI منتشر ساخت. [برای کسب اطلاعات بیشتر می‌توانید از `اسناد پایتون `_ استفاده نمایید] + +در صورت علاقه می‌توانید نگاهی نیز به پروژه `saeiddrv/PackagingPythonProjects `_ بیاندازید که تمامی مراحل را به صورت کاربردی پیاده‌سازی کرده است. + + + | ---- From 76c50e841efd6f1d99938150c6332b225593b9ec Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 1 Apr 2023 23:50:08 +0330 Subject: [PATCH 15/74] edited l03 --- source/lessons/l01-introduction-to-python.rst | 1 + .../l03-create-and-run-a-python-project.rst | 308 ++++++++++++------ 2 files changed, 218 insertions(+), 91 deletions(-) diff --git a/source/lessons/l01-introduction-to-python.rst b/source/lessons/l01-introduction-to-python.rst index 5c34b63..8ec0bcb 100644 --- a/source/lessons/l01-introduction-to-python.rst +++ b/source/lessons/l01-introduction-to-python.rst @@ -43,6 +43,7 @@ یک سال بعد آقای روسوم از پایتون در پروژه‌ آمیب استفاده می‌کند؛ نتیجه‌ مطلوب و نیز بازخورد آن در بین همکارانش موجب می‌شود تا وی به بسیاری از بهینه سازی‌های اولیه در پایتون اقدام نماید. این روند ادامه می‌یابد تا اینکه سرانجام در ماه دوم از سال ۱۹۹۱ میلادی این زبان را با نسخه 0.9.0 و تحت پروانه‌ای مشابه با پروانه‌ `MIT `_ از طریق یکی از «گروه‌های خبری» (یوزنت Usenet) با عنوان `alt.sources `_ منتشر می‌سازد که با استقبال بالایی نیز رو به رو می‌گردد. +.. pull-quote:: "Python version 0.9.0 is released" diff --git a/source/lessons/l03-create-and-run-a-python-project.rst b/source/lessons/l03-create-and-run-a-python-project.rst index 664cfb8..2aa121e 100644 --- a/source/lessons/l03-create-and-run-a-python-project.rst +++ b/source/lessons/l03-create-and-run-a-python-project.rst @@ -17,7 +17,7 @@ Photo by `Sam Moqadam `__ -این درس به چگونگی ایجاد پروژه‌‌های برنامه‌نویسی پایتون و اجرای آن‌ها اختصاص یافته است. درس با بیان تعاریف و رسم ساختار معمول یک پروژه شروع و اشاره‌ای نیز به ساختار پروژه‌های قابل انتشار در PyPI می‌شود. در بخش یکم تلاش شده است که تصویر کاملی از ساختار یک پروژه در ذهن خواننده ایجاد و از این طریق او با تعاریف «بسته»، «ماژول» و «اسکریپت» در زبان پایتون آشنا شود. در دو بخش‌ بعدی نیز ضمن اشاره به دو شیوه‌ اجرای دستورات پایتون، به شیوه ایجاد اسکریپت و چگونگی اجرای آن تمرکز شده است؛ چرا که پروژه‌های پایتون به این شیوه اجرا می‌گردند. در ادامه هم به روند اجرای کد توسط مفسر پایتون و همچنین معرفی بایت‌کد توجه و در نهایت نیز به معرفی virtualenv و pyvenv پرداخته شده است. +این درس به چگونگی ایجاد پروژه‌‌های برنامه‌نویسی پایتون و اجرای آن‌ها اختصاص یافته است. درس با بیان تعاریف و رسم ساختار معمول یک پروژه شروع و اشاره‌ای نیز به ساختار پروژه‌های قابل انتشار در PyPI می‌شود. در بخش یکم تلاش شده است که تصویر کاملی از ساختار یک پروژه در ذهن خواننده ایجاد و از این طریق او با تعاریف «بسته»، «ماژول» و «اسکریپت» در زبان پایتون آشنا شود. در دو بخش‌ بعدی نیز ضمن اشاره به دو شیوه‌ اجرای دستورات پایتون، به شیوه ایجاد اسکریپت و چگونگی اجرای آن تمرکز شده است؛ چرا که پروژه‌های پایتون به این شیوه اجرا می‌گردند. در ادامه هم به روند اجرای کد توسط مفسر پایتون و همچنین به معرفی بایت‌کد و در نهایت نیز به معرفی virtualenv و pyvenv پرداخته شده است. :emoji-size:`✔` سطح: پایه @@ -42,7 +42,7 @@ .. note:: از نسخه 3.3 پایتون با افزوده شدن ویژگی جدیدی به نام «بسته فضانام» (Namespace Package - `PEP 420 `_)، تعریف بسته پایتون به دو شاخه «بسته عادی» (Regular Package) که همان تعریف قدیمی از بسته می‌باشد و بسته فضانام گسترش یافته است. - در واقع، تا قبل از پایتون 3.3 هر بسته پایتون می‌بایست حاوی یک فایل ``init__.py__`` باشد ولی اکنون نیازی به این فایل نیست و مفسر پایتون اکنون می‌تواند تمامی بسته‌های داخل پرو‌ژه را محل یابی کند. در این درس به منظور شفاف‌سازی بسته‌ها از روش Regular Package استفاده خواهد شد. + در واقع، تا قبل از پایتون 3.3 هر بسته پایتون می‌بایست حاوی یک فایل ``init__.py__`` باشد ولی دیگر نیازی به این فایل نیست و مفسر پایتون اکنون می‌تواند تمامی بسته‌های داخل پرو‌ژه را محل‌یابی کند. در این درس به منظور شفاف‌سازی بسته‌ها از روش Regular Package استفاده خواهد شد. در تعریف زبان پایتون دو نوع ماژول وجود دارد: @@ -55,6 +55,14 @@ در ایجاد یک پروژه از پایتون هیچ اجباری به رعایت ساختار خاصی نیست و سورس کد یک پروژه می‌تواند تنها شامل یک ماژول (فایل با پسوند py.) باشد. به عنوان نمونه، شمای پایین از پروژه فرضی SampleProject را در نظر بگیرید: +.. code:: + + SampleProject + . + └── sample_project.py + +یا کمی پیچیده‌تر: + .. code:: SampleProject @@ -71,7 +79,7 @@ در ایجاد سورس کد باید به صورتی عمل شود که با اجرای یک ماژول‌ مشخص تمام برنامه اجرا گردد. این ماژول معمولا هم نام پروژه در نظر گرفته و با عنوان «اسکریپت» (Script) از آن یاد می‌شود (اینجا:‌ sample_project.py). در واقع اسکریپت، ماژولی است که با هدف اجرای برنامه توسعه می‌یابد و ایجاد سورس کد نیز از آن شروع می‌گردد. .. tip:: - هر پروژه پایتون باید حاوی یک و تنها یک اسکریپت باشد ولی می‌تواند هیچ، یک یا چند ماژول داشته باشد که این ماژول‌ها نیز می‌توانند در قالب بسته‌هایی جداگانه سازمان‌دهی شوند. + هر پروژه پایتون باید حاوی یک اسکریپت باشد ولی می‌تواند هیچ، یک یا چند ماژول داشته باشد که این ماژول‌ها نیز می‌توانند در قالب بسته‌هایی جداگانه سازمان‌دهی شوند. .. tip:: [`PEP 8 `_]: در نام‌گذاری ماژول‌ها تنها از حروف کوچک استفاده می‌شود و در صورت نیاز می‌توان از کاراکتر خط زیرین (``_``) نیز استفاده نمود (اما پیشنهاد نمی‌شود). نام بسته‌ها کوتاه بوده و از حروف کوچک تشکیل می‌گردد. @@ -82,65 +90,38 @@ --------------- برای ایجاد فایل‌های سورس کد (ماژول‌ها و اسکریپت) نیاز به هیچ برنامه یا ابزار خاصی نیست و تنها با استفاده از یک ویرایشگر ساده متن (مانند برنامه Notepad در ویندوز) می‌توانید آن‌ها را ایجاد و ویرایش نمایید. -در ادامه پروژه‌ای به نام FirstProject که سورس کد آن تنها شامل یک اسکریپت است را ایجاد می‌نماییم. وظیفه این اسکریپت فرستادن حاصل عبارت ``4÷(6×5-50)`` به خروجی (Output) خواهد بود. - -برنامه‌ ویرایشگر متن پیش‌فرض سیستم عامل را اجرا نموده و به کمک آن یکی از کدهای پایین را (متناسب با نسخه پایتون مورد نظر خود) در فایلی با نام مشابه first_project و پسوند py نوشته و بر روی دیسک (در مسیر دایرکتوری Documents سیستم عامل) ذخیره می‌نماییم. - -برای نسخه 2x، ساختار FirstProject و محتوای فایل first_project_2x.py را به صورت پایین در نظر می‌گیریم: +در ادامه پروژه‌ای (یا در واقع یک فولدر) به نام FirstProject که تنها حاوی یک فایل اسکریپت (first_project.py) خواهد بود را ایجاد می‌نماییم. وظیفه این اسکریپت فرستادن حاصل عبارت ``4÷(6×5-50)`` به خروجی (Output) خواهد بود. .. code:: FirstProject . - └── first_project_2x.py - -.. code-block:: python - :linenos: - - #-*- coding: utf-8 -*- - - # Python 2.x - # File Name: first_project_2x.py - # This script prints a value to the screen. - - print "(50-5×6)÷4 =", (50-5*6)/4 - + └── first_project.py -و برای نسخه 3x، ساختار FirstProject و محتوای فایل first_project_3x.py را به صورت پایین در نظر می‌گیریم: - -.. code:: - - FirstProject - . - └── first_project_3x.py +داخل فولدر پروژه فایل first_project.py را ایجاد و سپس به کمک یک برنامه‌ ویرایشگر متن آن را ویرایش و کد پایین را در آن درج و سپس ذخیره می‌نماییم. .. code-block:: python - :linenos: + :caption: first_project.py - # Python 3.x - # File Name: first_project_3x.py # This script prints a value to the screen. print("(50-5×6)÷4 =", (50-5*6)/4) -در بخش بعدی به اجرای سورس کد FirstProject خواهیم پرداخت؛ در این بخش بهتر است کمی به بررسی کدهای آن بپردازیم: +در بخش بعدی به اجرای پروژه FirstProject خواهیم پرداخت؛ در این بخش بهتر است کمی به بررسی کدهای آن بپردازیم: -متن ماژول‌های پایتون 2x به صورت پیش‌فرض از استاندارد یونیکد (`Unicode `_) پشتیبانی نمی‌کنند و توسط اسکی (`ASCII `_) کدگذاری (Encoding) می‌شوند که تنها امکان استفاده از ۱۲۸ کاراکتر را می‌دهد. می‌توان با افزودن سطری مطابق الگوی ``-*- coding: encoding -*-#`` در ابتدای ماژول‌های پایتون (سطر یکم یا دوم) شیوه کدگذاری را به شکل دلخواه تعیین نماییم. [`PEP 263 `_] +در زبان پایتون هر متنی که بعد از کاراکتر ”Number sign“ یا # (در همان سطر) قرار بگیرد توسط مفسر پایتون نادیده گرفته می‌شود و تاثیری در روند ترجمه و اجرای کدها ندارد، به این نوع متن‌ «توضیح» (کامنت Comment) گفته می‌شود و از آن برای مستندسازی (Documentation) ماژول، یعنی ارایه توضیح در مورد بخشی از کد استفاده می‌گردد. ارایه توضیح نقش زیادی در خوانایی ماژول دارد و کمک می‌کند تا افراد دیگر - حتی خودتان - بتوانند عملکرد کدهای ماژول (یا اسکریپت) را بفهمند. -بر همین اساس کدگذاری اسکریپت first_script_2x.py را به دلیل استفاده از کاراکترهایی خارج از مجموعه ASCII (÷ و ×) به UTF-8 تغییر داده‌ایم. **پایتون 3x به صورت پیش‌فرض از استاندارد یونیکد پشتیبانی می‌کند.** +سطرهای خالی (Blank Lines) نیز توسط مفسر پایتون نادیده گرفته می‌شوند و تاثیری در روند ترجمه و اجرای کدها ندارند. استفاده درست از سطرهای خالی بر خوانایی کدهای ماژول می‌افزاید. -در زبان پایتون هر متنی که بعد از کاراکتر ”Number sign“ یا # (در همان سطر) قرار بگیرد توسط مفسر پایتون نادیده گرفته می‌شود و تاثیری در روند ترجمه و اجرای کدها ندارد، به این نوع متن‌ «توضیح» (کامنت Comment) گفته می‌شود و از آن برای مستندسازی (Documentation) ماژول یعنی ارایه توضیح در مورد بخشی از کد استفاده می‌گردد. ارایه توضیح نقش زیادی در خوانایی ماژول دارد و کمک می‌کند تا افراد دیگر - حتی خودتان - بتوانند عملکرد کدهای ماژول (یا اسکریپت) شما را بفهمند. +روش رایج فرستادن داده به خروجی (اینجا:‌ چاپ بر روی صفحه نمایش) در پایتون، استفاده از تابع ``()print`` است. تابع در برنامه‌نویسی همان مفهوم ریاضی خود را دارد، موجودیتی که مقادیری را به عنوان ورودی دریافت و بر اساس آن خروجی تولید می‌کند، بحث تابع بسیار گسترده است که طی دروس دوازدهم تا چهاردهم به صورت کامل شرح داده خواهد شد. -.. note:: - کاراکتر نخست عبارت تعیین کدگذاری نیز # است ولی این سطر کامنت نبوده و درک آن برای مفسر با ارزش می‌باشد. +تابع print توانایی دریافت هر تعداد داده و از هر نوع را دارد و در صورت دریافت یک عبارت محاسباتی (Arithmetic) یا منطقی (Logical) ابتدا حاصل آن را محاسبه یا ارزیابی کرده و پس از تبدیل به نوع داده string در خروجی قرار می‌دهد. در هنگام فرستادن چندین داده گوناگون به خروجی می‌بایست آن‌ها را توسط کاما (Comma) از یکدیگر جدا نماییم. در اینجا نیز print دو داده برای فرستادن به خروجی دریافت کرده است؛ یک نوع داده string و یک عبارت محاسباتی. -سطرهای خالی (Blank Lines) نیز توسط مفسر پایتون نادیده گرفته می‌شوند و تاثیری در روند ترجمه و اجرای کدها ندارند. استفاده درست از سطرهای خالی بر خوانایی کدهای ماژول می‌افزاید. -روش رایج فرستادن داده به خروجی (اینجا:‌ چاپ بر روی صفحه نمایش) در پایتون، استفاده از دستور ``print`` (در نسخه 2x) یا تابع ``()print`` (در نسخه 3x) است. بارزترین تفاوت نسخه 3.0 پایتون با نسخه‌های پیش از خود،‌ تبدیل دستور ``print`` به تابع (Function) می‌باشد. برای تابع، داده درون پرانتز قرار داده می‌شود. [در درسی جداگانه به بررسی تابع‌ها در پایتون خواهیم پرداخت] +به دنباله‌ای از کاراکترها که بین دو نماد نقل قول (Quotation): ``" "`` یا ``' '`` محصور شده‌ باشند، نوع داده string گفته می‌شود. -دستور (یا تابع) print توانایی دریافت هر تعداد داده و از هر نوع را دارد و در صورت دریافت یک عبارت محاسباتی (Arithmetic) یا منطقی (Logical) ابتدا حاصل آن را محاسبه یا ارزیابی کرده و پس از تبدیل به نوع داده string در خروجی قرار می‌دهد. در هنگام فرستادن چندین داده گوناگون به خروجی می‌بایست آن‌ها را توسط کاما (Comma) از یکدیگر جدا نماییم. در اینجا نیز print دو داده برای فرستادن به خروجی دریافت کرده است؛ یک نوع داده string و یک عبارت محاسباتی. -به دنباله‌ای از کاراکترها که بین دو نماد نقل قول (Quotation) یا ``" "`` محصور شده‌ باشند، string گفته می‌شود. +.. _running: اجرای سورس کد @@ -151,10 +132,10 @@ .. code:: - user> python - Python 2.7.9 (default, Jan 12 2015, 12:41:47) - [GCC 4.9.2 20141101 (Red Hat 4.9.2-1)] on linux2 + > python + Python 3.10.5 (main, Jul 22 2022, 17:09:35) [GCC 9.4.0] on linux Type "help", "copyright", "credits" or "license" for more information. + >>> >>> >>> a = 3 >>> b = 2 @@ -162,75 +143,63 @@ 6 >>> -شیوه دیگر که موضوع همین بخش است، ایجاد اسکریپت می‌باشد. پیش از این با ایجاد سورس کد و اسکریپت آشنا شده ایم و می‌دانیم که اسکریپت، ماژولی است که برای اجرای سورس کد توسعه یافته و اجرای سورس کد همیشه از اسکریپت شروع می‌شود. +شیوه دیگر که موضوع همین بخش است، ایجاد اسکریپت می‌باشد. می‌دانیم که اسکریپت، ماژولی است که برای اجرای سورس کد توسعه یافته و اجرای یک برنامه پایتونی همیشه از اسکریپت شروع می‌شود. برای اجرای اسکریپت می‌بایست در خط فرمان سیستم عامل دستور فراخوانی مفسر پایتون را به همراه نام کامل اسکریپت (نشانی + نام + پسوند) وارد نمایید. نمونه‌های پایین،‌ نتیجه اجرای اسکریپت بخش پیش را از طریق رابط خط فرمان گنولینوکس نمایش می‌دهد: - -.. code:: - - user> python2 Documents/FirstProject/first_project_2x.py - (50-5×6)÷4 = 5 .. code:: - user> python3 Documents/FirstProject/first_project_3x.py + user> python /home/user/Documents/FirstProject/first_project.py (50-5×6)÷4 = 5.0 -اگر به حاصل عبارت ``4÷(6×5-50)`` در خروجی دو اسکریپت دقت کرده باشید حتما متوجه تفاوت آن شده‌اید. پایتون 2x حاصل تقسیم دو عدد صحیح (Integer) را به صورت یک عدد صحیح محاسبه و از مقدار بعد از ممیز (در صورت وجود) صرف نظر می‌کند ولی پایتون 3x همواره حاصل تقسیم را به صورت یک عدد اعشاری (Floating Point) و با دقتی بیشتر بر می‌گرداند. باز هم در این مورد صحبت خواهیم کرد. +یا: -نتیجه اجرای دو اسکریپت یاد شده در هر سیستم عاملی همان است که در بالا مشاهده می‌نمایید. چنانچه کاربر سیستم عامل ویندوز هستید به این نکته توجه داشته باشید که به دلیل وجود کاراکترهای خاصی (÷ و ×) که قرار است توسط print بر روی خط فرمان نمایش داده شوند و همچنین عدم پشتیبانی پیش‌فرض خط فرمان ویندوز از کدگذاری UTF-8، به هنگام اجرای اسکریپت خطایی گزارش می‌شود که ارتباطی با کد پایتون ندارد. در این مواقع پیشنهاد می‌شود از پایتون 3x و برنامه PowerShell استفاده نموده و پیش از اجرای اسکریپت دستور ``chcp 65001`` را وارد نمایید - به صورت پایین: +.. code:: + + user> cd /home/user/Documents/FirstProject + user> python first_project.py + (50-5×6)÷4 = 5.0 + +چنانچه کاربر سیستم عامل ویندوز هستید به این نکته توجه داشته باشید که به دلیل وجود کاراکترهای خاصی (÷ و ×) که قرار است توسط print بر روی خط فرمان نمایش داده شوند و همچنین امکان عدم پشتیبانی پیش‌فرض خط فرمان ویندوز از کدگذاری UTF-8، به هنگام اجرای اسکریپت خطایی گزارش می‌شود که ارتباطی با کد پایتون ندارد. در این مواقع پیشنهاد می‌شود از برنامه PowerShell استفاده نموده و پیش از اجرای اسکریپت دستور ``chcp 65001`` را وارد نمایید - به صورت پایین: .. code:: PS > chcp 65001 Active code page: 65001 - PS > python Documents\FirstProject\first_script_3x.py + PS > python C:\Users\user\Documents\FirstProject\first_script.py (50-5×6)÷4 = 5.0 چگونگی اجرای اسکریپت‌های پایتون چیزی بیش از این نیست، البته می‌توان در هنگام اجرای اسکریپت داده‌هایی را نیز به عنوان آرگومان به آن ارسال نمود که این مورد در درس بعدی بررسی می‌شود. -معمولا در گنولینوکس سطری به مانند پایین به ابتدای اسکریپت‌های پایتون (فقط در سطر یکم) اضافه می‌کنند، در این صورت به هنگام اجرا دیگر نیازی به فراخوانی مفسر پایتون نبوده و تنها می‌بایست پس از تغییر حالت (Mode) اسکریپت مورد نظر به حالت اجرا (توسط دستور `chmod `_)، آن را به روش معمول در یونیکس اجرا نماییم: +معمولا در گنولینوکس سطری به مانند پایین به ابتدای اسکریپت‌های پایتون (فقط در سطر یکم) اضافه می‌کنند، در این صورت به هنگام اجرا دیگر نیازی به فراخوانی مفسر پایتون نبوده و تنها می‌بایست پس از تغییر حالت (Mode) اسکریپت مورد نظر به حالت قابل اجرا (توسط دستور `chmod `_)، آن را به روش معمول در یونیکس اجرا نماییم: -.. code-block:: python - :linenos: +:: - #!/usr/bin/env python3 + #!/usr/bin/env python -``env`` یک دستور شل (Shell) یونیکس است که در زمان اجرای اسکریپت مفسر پایتون را می‌یابد و نشانی آن را جایگزین می‌کند. به جای استفاده از ``env`` می‌توان نشانی مفسر پایتون مورد نظر را به صورت صریح مانند ``usr/bin/python3/!#`` نوشت که البته در مواردی که پایتون به صورت جداگانه نصب شده باشد (نشانی مفسر در این حالت: usr/local/bin/python3/)، کارایی ندارد و موجب شکست در اجرا می‌گردد. +``env`` یک دستور شل (Shell) یونیکس است که در زمان اجرای اسکریپت مفسر پایتون را می‌یابد و نشانی آن را جایگزین می‌کند. به جای استفاده از ``env`` می‌توان نشانی مفسر پایتون مورد نظر را به صورت صریح مانند ``usr/bin/python/!#`` نوشت که البته در مواردی که پایتون به صورت جداگانه نصب شده باشد (نشانی مفسر در این حالت: usr/local/bin/python/)، کارایی ندارد و موجب شکست در اجرا می‌گردد. -اکنون برای نمونه اگر اسکریپت first_script_2x.py را برای اجرا در گنولینوکس کامل‌تر سازیم: +اکنون برای نمونه اگر اسکریپت first_script.py را برای اجرا در گنولینوکس کامل‌تر سازیم: .. code-block:: python - :linenos: #!/usr/bin/env python - #-*- coding: utf-8 -*- - # Python 2.x - # File: first_project_2x.py # This script prints a value to the screen. - print "(50-5×6)÷4 =", (50-5*6)/4 -پس از تغییر حالت، به دو صورت پایین می‌توان آن را در توزیع‌های گنولینوکس اجرا نمود: - -.. code:: - - user> chmod +x Documents/FirstProject/first_project_2x.py - - user> Documents/FirstProject/first_project_2x.py - (50-5×6)÷4 = 5 +پس از تغییر حالت، می‌توان آن را به صورت زیر در توزیع‌های گنولینوکس اجرا نمود: .. code:: - user> cd Documents/FirstProject/ + user> cd /home/user/Documents/FirstProject - user> chmod +x first_project_2x.py + user> chmod +x first_project.py - user> ./first_project_2x.py + user> ./first_project.py (50-5×6)÷4 = 5 .. note:: @@ -239,13 +208,13 @@ | -ایجاد اسکریپت پایتون و اجرای آن همان‌طور که مشاهده کردید بسیار ساده است و وابسته به وجود هیچ ابزار خاصی نمی‌باشد ولی برای پایتون نیز مانند هر زبان پر کاربرد دیگری تعداد زیادی `IDE `_ توسعه داده شده است که در ادامه به معرفی چند نمونه مطرح‌تر از این دست ابزار خواهیم پرداخت. - -* `PyDev `_: یک IDE کامل، متن باز و رایگان است که برای پلتفرم `Eclipse `_ ارایه می‌شود. +ایجاد اسکریپت پایتون و اجرای آن همان‌طور که مشاهده کردید بسیار ساده است و وابسته به وجود هیچ ابزار خاصی نیست ولی برای پایتون نیز مانند هر زبان پر کاربرد دیگری تعداد زیادی `IDE `_ توسعه داده شده است که در ادامه به معرفی چند نمونه محبوب از آن‌ها خواهیم پرداخت. * `PyCharm `_: محصولی از شرکت فوق‌العاده JetBrains است که البته نسخه کامل آن فروشی است ولی نسخه کامیونیتی (Community) آن رایگان و متن باز می‌باشد که از بسیاری ویژگی‌ها و امکانات ویژه برخوردار است. (`مقایسه نسخه‌ها `_) -* `NetBeans `_: یک IDE کامل، متن باز و رایگان است که طرفداران بسیاری دارد. NetBeans به صورت پیش‌فرض از پایتون پشتیبانی نمی‌کند و باید پلاگین مربوط به آن نصب گردد. (`صفحه راهنمای نصب `_) +* `PyDev `_: یک IDE کامل، متن باز و رایگان است که برای پلتفرم `Eclipse `_ ارایه می‌شود. + +* `NetBeans `_: یک IDE کامل، متن باز و رایگان است که طرفداران بسیاری دارد. NetBeans به صورت پیش‌فرض از پایتون پشتیبانی نمی‌کند و باید پلاگین مربوط به آن نصب گردد. (`پلاگین nbPython `_) @@ -253,23 +222,160 @@ IDE یا Integrated development environment به ابزارهایی گفته می‌شود که علاوه‌بر یک ویرایشگر متن پیشرفته، امکانات بسیار کاربردی دیگری را نیز به مانند دیباگر (`Debugger `__) در اختیار برنامه‌نویس قرار می‌دهد. -.. _python-import: +.. admonition:: تمرین + + یک اسکریپت پایتون ایجاد کنید که نام و سن شما را تنها با یکبار استفاده از تابع ``()print`` به صورت پایین بر روی خروجی نمایش دهد: + + ``Name: Hideyoshi Nagachika - Age: 19`` + + ** حالت‌های مختلفی که می‌توان به این ساختار از خروجی رسید را امتحان نمایید (ورودی‌های متفاوت) -دستور import ---------------- +.. _modular-programming: + +برنامه‌نویسی ماژولار +----------------------- +یک الگوی توصیه شده در برنامه‌نویسی، توسعه برنامه در واحدهایی کوچک از کد است. به گونه‌ای که هر واحد یک نقش مشخص و مستقل از دیگر واحدها داشته باشد. مستقل به این معنی که تغییر یا جایگزینی یک واحد نباید بر روی عملکرد دیگر واحدها تاثیرگذار باشد. به این ترتیب فرآیند خطایابی، نگهداری و توسعه برنامه به مراتب بهبود می‌یابد. یکی از امکانات پایتون در رسیدن به این اصل، استفاده درست از مفاهیم بسته و ماژول است. +[برای مطالعه بیشتر: `Modular programming `_ و `Loose coupling `_] + + +پروژه پایین که تنها شامل یک اسکریپت است را در نظر بگیرید: + +.. code:: + + TokyoGhoul + . + └── tokyo_ghoul.py + +.. code-block:: python + :linenos: + :caption: tokyo_ghoul.py + + print("Name:") + print("Actor_1:", "Hideyoshi Nagachika") + + print("Name:") + print("Actor_2:", "Ken Kaneki") + print("Age:") + print("Actor_1:", 19) + + print("Age:") + print("Actor_2:", 18) + +می‌توان این پروژه را با ساختاری به شکل پایین نیز توسعه داد: + +.. code:: + + TokyoGhoul + . + ├── tokyo_ghoul.py + │ + └── actors/ + │ + ├── __init__.py + │ + ├── ages/ + │ ├── __init__.py + │ ├── actor1.py + │ └── actor2.py + │ + └── names/ + ├── __init__.py + ├── actor1.py + └── actor2.py + + +.. code-block:: python + :linenos: + :caption: actors.ages.actor1.py + + print("Age:") + print("Actor_1:", 19) + +.. code-block:: python + :linenos: + :caption: actors.ages.actor2.py + + print("Age:") + print("Actor_2:", 18) + +.. code-block:: python + :linenos: + :caption: actors.names.actor1.py + + print("Name:") + print("Actor_1:", "Hideyoshi Nagachika") + +.. code-block:: python + :linenos: + :caption: actors.names.actor2.py + + print("Name:") + print("Actor_2:", "Ken Kaneki") + +.. code-block:: python + :linenos: + :caption: tokyo_ghoul.py + + import actors.names.actor1 + + from actors.names import actor2 + + import actors.ages.actor1 + + from actors.ages import actor2 + +خروجی اجرای ``tokyo_ghoul.py`` در هر دو حالت یکی است:: + + Name: + Actor_1: Hideyoshi Nagachika + Name: + Actor_2: Ken Kaneki + Age: + Actor_1: 19 + Age: + Actor_2: 18 + +اما در حالت دوم امکان توسعه بیشتر بوده و به راحتی می‌توان اطلاعات (نام و سن) جدید را به برنامه افزود. همچنین موارد سن و نام را می‌توان به دفعات در برنامه استفاده نمود بدون آنکه مجبور به نوشتن کدهای تکراری شویم (`DRY - Don't repeat yourself `_). البته این مثال با توجه به اطلاعات پایتونی جاری ارایه شده است و دارای ضعفی است که در آینده خود متوجه آن خواهید شد :) + +همانطور که مشاهده می‌شود در پایتون برای ایجاد دسترسی به دیگر ماژول‌ها می‌بایست ابتدا آن‌ها را ``import`` کرد و این عمل در هر جایی از بدنه ماژول یا اسکریپت جاری ممکن است. البته باید توجه داشت که اجرای کدهای پایتون سطر به سطر از بالا به پایین می‌باشد و در صورت نیاز به هر ماژول می‌بایست پیش‌تر آن را ``import`` نمایید. + +برای ``import`` هر ماژول می‌بایست نام تمام بسته‌های موجود از ابتدا تا ماژول مورد نظر به ترتیب ذکر گردد به صورتی که همگی با یک کاراکتر ``.`` به یکدیگر متصل شده باشند. در پایان نیز نام ماژول مورد نظر ذکر می‌گردد:: + + import actors.names.actor1 + + +ماژول‌های داخل هر بسته را می‌توان به صورت زیر نیز ``import`` کرد:: + + from actors.names import actor1 + +استفاده از روش دوم مزایایی دارد که در کامیونیتی پایتون آن را به مراتب پر استفاده‌تر ساخته است. برای مثال فراخوانی اجزای داخلی ماژول را ساده‌تر می‌سازد و دیگر نیازی به ذکر نام بسته ها نخواهد بود. این مورد را به همراه نکات دیگر پیرامون ``import`` کردن ماژول‌ها طی دروس آتی خواهید دید. ذکر تمام ویژگی‌ها و کاربردهای موجود بدون آشنایی با دیگر اجزای زبان برنامه‌نویسی پایتون بیهوده است و در ادامه این کتاب به ترتیب با این اجزا آشنا خواهید شد. + + +.. tip:: + مفسر پایتون دستورات داخل هر ماژول را یکبار به صورت کامل در نخستین ``import`` اجرا می‌کند. + + +.. admonition:: تمرین + + تمرین قبل را در ساختار چند ماژولی پیاده‌سازی کنید به گونه‌ای که نام در سطر یکم و سن در سطر دوم چاپ شود. + + ** سعی کنید مسیر ماژول‌های خود را چندین بار تغییر دهید و متناسب با آن‌ها برنامه خود را اصلاح و تست نمایید. + + +.. _interpreter-background: پشت صحنه اجرا --------------- -زمانی که اقدام به اجرای یک اسکریپت می‌کنید؛ ابتدا، اسکریپت و تمام ماژول‌های وارد شده در آن به بایت‌کد کامپایل و سپس بایت‌کد‌های حاصل جهت تفسیر به زبان ماشین و اجرا، به ماشین مجازی فرستاده می‌شوند. آنچه ما از آن به عنوان مفسر پایتون (پیاده‌سازی CPython) یاد می‌کنیم در واقع ترکیبی از یک کامپایلر و یک ماشین مجازی است. تصویر پایین به خوبی روند اجرای کدهای پایتون را نمایش می‌دهد. +زمانی که اقدام به اجرای یک اسکریپت می‌کنید؛ ابتدا، اسکریپت و تمام ماژول‌های ``import`` شده در آن به بایت‌کد کامپایل و سپس بایت‌کد‌های حاصل جهت تفسیر به زبان ماشین و اجرا، به ماشین مجازی فرستاده می‌شوند. آنچه ما از آن به عنوان مفسر پایتون (پیاده‌سازی CPython) یاد می‌کنیم در واقع ترکیبی از یک کامپایلر و یک ماشین مجازی است. تصویر پایین به خوبی روند اجرای کدهای پایتون را نمایش می‌دهد. .. image:: /_static/l03-interpreter.png :align: center :target: http://trizpug.org/Members/cbc/wyntkap/compiler.html -بایت‌کد هر ماژول‌ پایتون در قالب فایلی با پسوند pyc که یاد‌آور py Compiled است، ذخیره می‌گردد. این فایل در یک زیردایرکتوری با نام __pycache__ داخل همان دایرکتوری ماژول ذخیره می‌شود و نام گذاری آن نیز با توجه به نام ماژول و نسخه‌ مفسر پایتون مورد استفاده، انجام می‌گیرد (نمونه: module.cpython-34.pyc). مفسر پایتون از این فایل ذخیره شده جهت افزایش سرعت اجرا در آینده بهره خواهد برد؛ به این صورت که در نوبت‌های بعدی اجرا چنانچه تغییری در کدهای ماژول یا نسخه‌ مفسر پایتون صورت نگرفته باشد، مفسر با بارگذاری فایل بایت‌کد از کامپایل مجدد سورس کد به بایت‌کد صرف نظر می‌کند. +بایت‌کد هر ماژول‌ پایتون در قالب فایلی با پسوند pyc که یاد‌آور py Compiled است، ذخیره می‌گردد. این فایل در یک زیردایرکتوری با نام __pycache__ داخل همان دایرکتوری ماژول ذخیره می‌شود و نام‌گذاری آن نیز با توجه به نام ماژول و نسخه‌ مفسر پایتون مورد استفاده، انجام می‌گیرد (نمونه: module.cpython-34.pyc). مفسر پایتون از این فایل ذخیره شده جهت افزایش سرعت اجرا در آینده بهره خواهد برد؛ به این صورت که در نوبت‌های بعدی اجرا چنانچه تغییری در کدهای ماژول یا نسخه‌ مفسر پایتون صورت نگرفته باشد، مفسر با بارگذاری فایل بایت‌کد موجود از کامپایل مجدد صرف نظر می‌کند. .. note:: مفسر پایتون تنها برای ماژول‌های وارد شده در اسکریپت اقدام به ذخیره کردن فایل بایت‌کد بر روی دیسک می‌کند و برای اسکریپت‌ این عمل صورت نمی‌گیرد. @@ -285,6 +391,8 @@ کدنویسی در حالت تعاملی را در درس بعدی خواهید آموخت ولی به یاد داشته باشید که مفسر پایتون محیط کدنویسی در این حالت را به مانند یک اسکریپت در نظر می‌گیرد. +.. _virtual-environments: + ایجاد محیط مجازی ------------------ حالتی را در نظر بگیرید که در ایجاد پروژه‌های مختلف به نسخه‌های متفاوتی از برخی کتابخانه‌ها نیاز دارید؛ در این صورت چگونه می‌توانید چندین نسخه‌ متفاوت از یک کتابخانه‌ را در پایتون نصب نمایید؟ برای نمونه، فرض نمایید می‌خواهیم بر روی توسعه دو وب‌سایت؛ یکی توسط نسخه جدید (1.8) وب فریم‌ورک جنگو (`Django `_) و دیگری بر روی یک نسخه قدیمی (0.96) از آن کار کنیم، ولی نمی‌توانیم!؛ زیرا که نمی‌شود هر دوی این نسخه‌ها را با هم در پایتون (دایرکتوری site-packages) نصب داشت. در این وضعیت راه حل ایجاد محیط‌هایی مجازی (Virtual Environments) برای توسعه پروژه‌های مورد نظر است؛ محیطی که توسعه و اجرای هر پروژه پایتون را به همراه تمام وابستگی‌های (Dependencies) آن از پروژه‌های دیگر جدا یا ایزوله (isolate) می‌کند. در ادامه به بررسی دو ابزار رایج در این رابطه می‌پردازیم. @@ -363,7 +471,7 @@ virtualenv pyvenv ~~~~~~ -در نسخه‌های 3x پایتون و از 3.3 به بعد ماژولی با نام `venv `_ برای ایجاد محیط مجازی به کتابخانه استاندارد پایتون افزوده شده است که می‌توان از آن به جای نصب virtualenv استفاده نمود؛ برای این منظور از دستور pyvenv (پای وی اِنو) و با الگویی مشابه ``pyvenv ENV`` استفاده می‌گردد. +از نسخه 3.3 پایتون به بعد ماژولی با نام `venv `_ برای ایجاد محیط مجازی به کتابخانه استاندارد پایتون افزوده شده است که می‌توان از آن به جای نصب virtualenv استفاده نمود؛ برای این منظور از دستور pyvenv (پای وی اِنو) و با الگویی مشابه ``pyvenv ENV`` استفاده می‌گردد. *در گنولینوکس:* :: @@ -400,15 +508,19 @@ pyvenv > +.. note:: + به عنوان یک رفتار توصیه شده بهتر است، در ازای هر پروژه پایتونی که آغاز می‌کنید یک محیط مجازی مخصوص نیز ایجاد نمایید. همچنین هر پروژه نیز بهتر است همواره حاوی فایل requirements.txt مخصوص به خود باشد تا مراحل آماده‌سازی (نصب بسته‌های پیش‌نیاز یا مورد استفاده در پروژه - dependencies) در این محیط به مراتب ساده‌تر گردد. + + .. _packaging-projects: انتشار پروژه -------------- -اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. در غیر این صورت می‌توانید به بخش بعدی از همین درس `پرش <#source-code>`_ نمایید. +اکنون اطلاعات کافی برای شروع یک پروژه از پایتون را دارید ولی چنانچه می‌خواهید با ساختار مناسب پروژه‌ای که قرار است برای استفاده افراد دیگر از طریق PyPI یا سرویس‌هایی نظیر github.com منتشر شود (مانند یک کتابخانه کاربردی) آشنا شوید، ادامه این بخش را نیز مطالعه نمایید. -جدا از سورس کد لازم است موارد دیگری نیز در ساختار این نوع پروژه‌ها در نظر گرفته شود؛ به ساختار پایین توجه نمایید: +در یک پروژه کامل که میخواهیم آن را در کامیونیتی پایتون منتشر سازیم، جدا از سورس کد لازم است موارد دیگری نیز در ساختار آن در نظر گرفته شود؛ به ساختار پایین توجه نمایید: .. code:: @@ -432,9 +544,25 @@ pyvenv ساختار ابتدایی تنها شامل سورس کد می‌بود ولی در این ساختار تمام سورس کد در قالب یک بسته پایتون بخشی از مجموعه بزرگتری است که در آن یک سری فایل به مانند requirements.txt ،README.rst و pyproject.toml افزوده شده است. تاکید می‌شود که در حال حاضر نیازی به رعایت این ساختار و ایجاد تمامی این فایل‌ها نیست. +**pyproject.toml**: تمام اطلاعات مورد نیاز برای فرآیند تولید (Build) یک Distribution یا یک بسته قابل انتشار از پروژه مورد نظر توسط این فایل تعریف می‌گردد. [`اسناد پایتون `__] + + +**README.rst**: تمام پروژه‌ها می‌بایست شامل سندی برای توصیف خود باشند. در پایتون برای ایجاد اسناد معمولا از زبان نشانه‌گذاری `reStructuredText `_ استفاده می‌گردد و به همین دلیل این اسناد پسوند rst دارند که البته اجباری به این مورد نیست و می‌توانید برای ایجاد این فایل از `Markdown `_ (پسوند md) نیز استفاده نمایید. + +**requirements.txt**: از این فایل برای معرفی کتابخانه‌های خاصی که در پروژه استفاده شده‌اند و در زمان نصب یا اجرای سورس کد، وجود یا نصب بودن آن‌ها نیز ضروری است، استفاده می‌گردد. + +**LICENSE.txt**: این فایل پروانه‌ انتشار پروژه را مشخص می‌کند و اغلب حاوی یک کپی از متن پروانه‌های متن باز رایج به مانند `MIT `_ ،`GPL `_ یا `BSD `_ می‌باشد. + +.. note:: + لازم است تمامی فایل‌های یاد شده و دایرکتوری docs در بالاترین شاخه از دایرکتوری پروژه قرار داده شوند. + +**docs**: در این دایرکتوری اسناد (راهنما، آموزش و...) پروژه قرار داده می‌شوند. ایجاد این اسناد در کامیونیتی پایتون معمولا توسط `Sphinx `_ انجام می‌شود. قابل ذکر است که در تولید این کتاب نیز از همین ابزار استفاده شده است. + +**test**: این دایرکتوری محل نگهداری کدهای مربوط به تست پروژه می‌باشد. تست‌نویسی یک امر ضروری در روند توسعه هر پروژه برنامه‌نویسی است. این دایرکتوری می‌تواند هم در بالا ترین شاخه از پروژه و هم در داخل دایرکتوری سورس کد قرار داده شود. + اکنون می توان از روی این پروژه یک توزیع (Distribution) ایجاد و آن را با استفاده از ابزارهایی به مانند `Twine `_ یا `Poetry `_ بر روی PyPI منتشر ساخت. [برای کسب اطلاعات بیشتر می‌توانید از `اسناد پایتون `_ استفاده نمایید] -در صورت علاقه می‌توانید نگاهی نیز به پروژه `saeiddrv/PackagingPythonProjects `_ بیاندازید که تمامی مراحل را به صورت کاربردی پیاده‌سازی کرده است. +در صورت علاقه می‌توانید نگاهی نیز به پروژه `saeiddrv/PackagingPythonProjects `_ بیاندازید که تمامی مراحل را به صورت کاربردی بر پایه Poetry پیاده‌سازی کرده است. @@ -444,8 +572,6 @@ pyvenv :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - From 7ac30ea4574724b25c9d749a19cfe752e15e1261 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sun, 2 Apr 2023 01:02:31 +0330 Subject: [PATCH 16/74] edited 04 --- source/index.rst | 2 +- source/lessons/l01-introduction-to-python.rst | 2 +- source/lessons/l02-setup-python.rst | 2 +- .../l03-create-and-run-a-python-project.rst | 2 +- ...04.rst => l04-python-interactive-mode.rst} | 178 ++++++------------ 5 files changed, 60 insertions(+), 126 deletions(-) rename source/lessons/{l04.rst => l04-python-interactive-mode.rst} (77%) diff --git a/source/index.rst b/source/index.rst index 1044728..74fe8c7 100644 --- a/source/index.rst +++ b/source/index.rst @@ -31,7 +31,7 @@ lessons/l01-introduction-to-python lessons/l02-setup-python lessons/l03-create-and-run-a-python-project - lessons/l04 + lessons/l04-python-interactive-mode lessons/l05 lessons/l06 lessons/l07 diff --git a/source/lessons/l01-introduction-to-python.rst b/source/lessons/l01-introduction-to-python.rst index 8ec0bcb..46b66df 100644 --- a/source/lessons/l01-introduction-to-python.rst +++ b/source/lessons/l01-introduction-to-python.rst @@ -1,7 +1,7 @@ .. role:: emoji-size .. meta:: - :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس یکم: آشنایی با پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس یکم: آشنایی با پایتون :keywords: معرفی پایتون, تاریخچه پایتون, کارایی پایتون, نسخه های پایتون, ویژگی های پایتون, آشنایی با پایتون, آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون diff --git a/source/lessons/l02-setup-python.rst b/source/lessons/l02-setup-python.rst index 9d27621..449b116 100644 --- a/source/lessons/l02-setup-python.rst +++ b/source/lessons/l02-setup-python.rst @@ -1,7 +1,7 @@ .. role:: emoji-size .. meta:: - :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس دوم: نصب و راه‌اندازی پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس دوم: نصب و راه‌اندازی پایتون :keywords: پایتون, آموزش برنامه نویسی, آموزش پایتون, نصب پایتون در ویندوز, نصب پایتون در لینوکس, سیستم مدیریت بسته پایتون, pip, راه اندازی پایتون, دانلود پایتون, آموزش pip diff --git a/source/lessons/l03-create-and-run-a-python-project.rst b/source/lessons/l03-create-and-run-a-python-project.rst index 2aa121e..9a3832b 100644 --- a/source/lessons/l03-create-and-run-a-python-project.rst +++ b/source/lessons/l03-create-and-run-a-python-project.rst @@ -1,7 +1,7 @@ .. role:: emoji-size .. meta:: - :description: پایتون به فارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس سوم: چگونگی ایجاد و اجرای یک پروژه پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس سوم: چگونگی ایجاد و اجرای یک پروژه پایتون :keywords: پایتون,آموزش پایتون, آموزش برنامه نویسی, ایجاد پروژه پایتون, اسکریپت پایتون, ماژول پایتون, بسته پایتون, ساختار پایتون, پروژه پایتون, سورس کد, سورس کد پایتون, اجرای پایتون, اسکریپت, ماژول, pyvenv, virtualenv diff --git a/source/lessons/l04.rst b/source/lessons/l04-python-interactive-mode.rst similarity index 77% rename from source/lessons/l04.rst rename to source/lessons/l04-python-interactive-mode.rst index e4c15ab..b3b04dc 100644 --- a/source/lessons/l04.rst +++ b/source/lessons/l04-python-interactive-mode.rst @@ -1,10 +1,11 @@ .. role:: emoji-size .. meta:: - :description: کتاب آموزش زبان برنامه نویسی پایتون به فارسی، برنامه نویسی تعاملی، محیط تعاملی (Interactive) پایتون، راهنمای پایتون - :keywords: پایتون,آموزش پایتون, آموزش برنامه نویسی,حالت تعاملی پایتون, محیط تعاملی, دریافت راهنمایی, راهنمایی, گزینه های فراخوانی, + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس چهارم: برنامه‌نویسی تعاملی با پایتون + :keywords: پایتون,آموزش پایتون, آموزش برنامه نویسی,حالت تعاملی پایتون, محیط تعاملی, دریافت راهنمایی, راهنمایی, گزینه های فراخوانی, interactive +.. _lesson-04: درس ۰۴: برنامه‌نویسی تعاملی با پایتون ====================================== @@ -30,28 +31,22 @@ ---- +.. _python-interactive-mode: + + حالت تعاملی ------------- از درس پیش به خاطر داریم که کدهای پایتون را می‌توان به دو روش اجرا نمود: ۱- ایجاد اسکریپت و معرفی آن به مفسر پایتون که در همان درس بررسی شد ۲- به شکل تعاملی با مفسر پایتون که موضوع همین درس است. پایتون یک زبان برنامه‌نویسی با قابلیت «حالت تعاملی» (Interactive Mode) است؛ این قابلیت که مبتنی بر خط فرمان است، امکانی را برای پردازش و اجرای کدهای (دستورها، عبارت‌ها [#f1]_ و تعریف‌ها) زبان پایتون فراهم می‌آورد. کدنویسی در این حالت به مانند زمانی است که یک اسکریپت را ایجاد می‌نمایید؛ ولی با هر بار فشردن کلید Enter صفحه کلید، مفسر پایتون آن را به صورت خودکار اجرا می‌کند. -البته حالت تعاملی محدودیت‌هایی دارد که خواهید دید ولی از برخی زوایا بسیار مناسب و کاربردی است؛ به عنوان نمونه ممکن است قصد آزمودن یکی از قابلیت‌های زبان پایتون را داشته باشید یا اینکه بخواهید خروجی یک قطعه کد کوتاه را مشاهده نمایید که در این صورت ایجاد اسکریپت و سپس اجرای آن می‌تواند کار پر زحمتی به نظر برسد!،‌ از طرفی دریافت راهنمایی نیز از دیگر مزایای آن است که در یادآوری، شناخت و کسب آگاهی از موارد زبان پایتون (کلمه‌های کلیدی، تابع‌ها، کلاس‌ها، ماژول‌ها و...) بسیار کاربردی و مفید می‌باشد، حتی برخی نیز از این حالت پایتون به عنوان یک ماشین حساب بهره می‌گیرند!. +البته حالت تعاملی محدودیت‌هایی دارد که خواهید دید ولی از برخی زوایا بسیار مناسب و کاربردی است؛ به عنوان نمونه ممکن است قصد آزمودن یکی از قابلیت‌های زبان پایتون را داشته باشید یا اینکه بخواهید خروجی یک قطعه کد کوتاه را مشاهده نمایید که در این صورت ایجاد اسکریپت و سپس اجرای آن می‌تواند کار پر زحمتی به نظر برسد!،‌ از طرفی دریافت راهنمایی نیز از دیگر مزایای آن است که در یادآوری، شناخت و کسب آگاهی از اجزای زبان پایتون (کلمه‌های کلیدی، تابع‌ها، کلاس‌ها، ماژول‌ها و...) بسیار کاربردی و مفید می‌باشد، حتی برخی نیز مانند خود من از این قابلیت پایتون به عنوان یک ماشین حساب بهره می‌گیرند!. برای ورود به حالت تعاملی پایتون از دستور فراخوانی مفسر (حالت عمومی: ``python``) - به شکل تنها و بدون آرگومان‌ - در رابط خط فرمان سیستم عامل، استفاده می‌شود. + :: -*ورود به حالت تعاملی پایتون 2x - ویندوز:* :: - - > cd C:\\Python27 - > python - Python 2.7.9 (default, Dec 10 2014, 12:28:03) [MSC v.1500 64 bit (AMD64)] on win32 - Type "help", "copyright", "credits" or "license" for more information. - >>> - -*ورود به حالت تعاملی پایتون 3x - گنولینوکس:* :: - - user> python3 + user> python Python 3.4.2 (default, Jan 25 2015, 20:02:16) [GCC 4.9.2 20141101 (Red Hat 4.9.2-1)] on linux Type "help", "copyright", "credits" or "license" for more information. @@ -84,13 +79,13 @@ (50-5×6)÷4 = 5.0 .. caution:: - در پایتون برای تعریف یک تابع از کلمه کلیدی ``def`` استفاده می‌گردد که به دنبال آن نام و سپس پارامتر‌های تابع (در صورت نیاز) که درون پرانتز قرار می‌گیرند، آورده می‌شود. بعد از کاراکتر دو‌نقطه (Colon یا ``:``) و در سطرهای بعدی با رعایت یکنواخت تورفتگی، دستورهای بدنه تابع نوشته می‌شوند. با فراخوانی تابع (وارد کردن نام تابع) بدنه تابع اجرا می‌گردد. چنانچه در تعریف تابع پارامترهایی نیز در نظر گرفته شده باشد، در هنگام فراخوانی می‌بایست مقدار متناظر آن‌ها نیز مشخص شود (درون پرانتز جلوی نام تابع) - در کد بالا تابع ``func`` فاقد پارامتر بوده بنابراین در هنگام فراخوانی آن مقداری ارسال نشده است. [فقط برای آگاهی اولیه - تابع‌ پایتون در درسی جداگانه بررسی خواهد شد] + در پایتون برای تعریف یک تابع از کلمه کلیدی ``def`` استفاده می‌گردد که به دنبال آن نام و سپس پارامتر‌های تابع (در صورت نیاز) که درون پرانتز قرار می‌گیرند، آورده می‌شود. بعد از کاراکتر دو‌نقطه (Colon یا ``:``) و در سطرهای بعدی با رعایت یکنواخت تورفتگی، دستورهای بدنه تابع نوشته می‌شوند. با فراخوانی تابع (وارد کردن نام تابع) بدنه تابع اجرا می‌گردد. چنانچه در تعریف تابع پارامترهایی نیز در نظر گرفته شده باشد، در هنگام فراخوانی می‌بایست مقدار متناظر آن‌ها نیز مشخص شود (درون پرانتز جلوی نام تابع) - در کد بالا تابع ``func`` فاقد پارامتر بوده بنابراین در هنگام فراخوانی آن مقداری ارسال نشده است. [فقط برای آگاهی اولیه - تابع‌ در پایتون توسط دروس دوازدهم تا چهاردهم بررسی خواهد شد] .. note:: برای پایان دادن به دستورهای چند سطری می‌بایست سطر پایانی را خالی رها کرده و کلید Enter را بفشارید. -برای پاک کردن صفحه از کلید‌های ترکیبی Ctrl–L استفاده نمایید. به منظور خروج نیز می‌توانید عبارت ()quit را وارد کرده یا از کلیدهای ترکیبی Ctrl–D در *گنولینوکس* و Ctrl–Z با یک Enter پس از آن در *ویندوز* استفاده نمایید. +برای پاک کردن صفحه از کلید‌های ترکیبی Ctrl–L استفاده نمایید. به منظور خروج نیز می‌توانید دستور ()quit را وارد کرده یا از کلیدهای ترکیبی Ctrl–D در *گنولینوکس* و Ctrl–Z با یک Enter پس از آن در *ویندوز* استفاده نمایید. از مزایای حالت تعاملی این است که در بیشتر مواقع برای مشاهده نتیجه، نیازی به استفاده از print نمی‌باشد: @@ -135,7 +130,7 @@ >>> math.sin(_) 1.0 -*برای وارد کردن یک ماژول به اسکریپت (یا ماژولی دیگر) از دستور import استفاده می‌گردد. در یک درس جداگانه به صورت کامل صحبت خواهد شد ولی برای ادامه این درس تا همین حد بدانید که برای فراخوانی تابع‌های موجود در یک ماژول import شده از الگوی «نام ماژول + نقطه + نام تابع مورد نظر» استفاده می‌گردد - در دستور import پسوند ماژول نوشته نمی‌شود.* +اکنون می‌دانیم که برای وارد کردن یک ماژول به یک اسکریپت (یا ماژولی دیگر) از دستور import استفاده می‌گردد. پس از آن، برای دستیابی اجزای داخل آن مانند فراخوانی یک تابع نیز می‌بایست از الگوی «نام ماژول + نقطه + نام تابع مورد نظر» استفاده گردد. مثالی دیگر - ``sys`` یکی از ماژول‌های مهم پایتون است؛ این ماژول امکان دسترسی به برخی از متغیرهای مورد استفاده مفسر (در زمان اجرا) و همچنین تابع‌هایی که با مفسر در ارتباط هستند را فراهم می‌آورد [`اسناد پایتون `__]: @@ -164,6 +159,9 @@ user> + +.. _python-help: + دریافت راهنمایی ----------------- @@ -175,7 +173,7 @@ به دو روش می‌توان از امکان راهنمایی استفاده کرد که در ادامه بررسی می‌شود. .. note:: - در هر دو روش برای مرور توضیحات طولانی از کلیدهای Enter (سطر به سطر) و Space (صفحه به صفحه) بهره بگیرید و برای خروج از توضیحات نیز از کلید q صفحه کلید استفاده نمایید؛ انتهای توضیحات نیز توسط عبارت ``(END)`` مشخص می‌شود. + در هر دو روش برای مرور توضیحات طولانی از کلیدهای Enter (سطر به سطر) و Space (صفحه به صفحه) بهره بگیرید و برای خروج از توضیحات نیز از کلید q صفحه کلید استفاده نمایید؛ همواره انتهای توضیحات توسط عبارت ``(END)`` مشخص شده است. .. rubric:: روش یکم: رفتن به حالت راهنمای تعاملی @@ -209,8 +207,6 @@ :: - # Python 3.x - help> keywords Here is a list of the Python keywords. Enter any keyword to get more help. @@ -264,64 +260,14 @@ >>> -.. tip:: - ``print`` در نسخه 3x پایتون به صورت یک تابع تعریف شده است و تابع‌ها در پایتون یک نوع شی هستند. +از این روش با الگوی دیگری هم استفاده می‌شود. الگوی ``("help("string`` یعنی قرار دادن نام موردی که می‌خواهید درباره آن اطلاعات بگیرید درون پرانتز به شکلی محصور با دو نماد نقل قول ( " " ) - این الگو عملکردی مشابه با روش قبل (روش یکم) دارد با این تفاوت که دریافت اطلاعات به صورت مستقیم و بدون ورود به راهنمای تعاملی انجام می‌پذیرد. در واقع برای به دست آوردن اطلاعات درباره موردی که شی نمی‌باشد (مانند هر یک از دستورهای ``symbols`` ،``keywords`` ،``modules`` و ``topics`` یا...) لازم است به این صورت اقدام گردد. -از این روش با الگوی دیگری هم استفاده می‌شود. الگوی ``("help("string`` یعنی قرار دادن نام موردی که می‌خواهید درباره آن اطلاعات بگیرید درون پرانتز به شکلی محصور با دو نماد نقل قول ( " " ) - این الگو عملکردی مشابه با روش قبل (روش یکم) دارد با این تفاوت که دریافت اطلاعات به صورت مستقیم و بدون ورود به راهنمای تعاملی انجام می‌پذیرد. در واقع برای به دست آوردن اطلاعات درباره موردی که شی نمی‌باشد (مانند هر یک از دستورهای ``symbols`` ،``keywords`` ،``modules`` و ``topics`` یا دستور ``print`` در پایتون 2x یا نام ماژول‌ها یا...) لازم است به این صورت اقدام گردد:: - - - # Python 2.x - - >>> help("keywords") - - Here is a list of the Python keywords. Enter any keyword to get more help. - - and elif if print - as else import raise - assert except in return - break exec is try - class finally lambda while - continue for not with - def from or yield - del global pass - - >>> help("print") - - The "print" statement - ********************* - - print_stmt ::= "print" ([expression ("," expression)* [","]] - | ">>" expression [("," expression)+ [","]]) - - "print" evaluates each expression in turn and writes the resulting - object to standard output (see below). If an object is not a string, - it is first converted to a string using the rules for string - conversions. The (resulting or original) string is then written. A - space is written before each object is (converted and) written, unless - the output system believes it is positioned at the beginning of a - line. This is the case (1) when no characters have yet been written - to standard output, (2) when the last character written to standard - output is a whitespace character except "' '", or (3) when the last - write operation on standard output was not a "print" statement. (In - some cases it may be functional to write an empty string to standard - output for this reason.) - - Note: Objects which act like file objects but which are not the - built-in file objects often do not properly emulate this aspect of - the file object's behavior, so it is best not to rely on this. - - : +.. _python-arguments: گزینه‌های فراخوانی ------------------- -در کنار دستور فراخوانی پایتون در خط فرمان، می‌توان از گزینه‌ها و دستورهای گوناگونی بهره برد. البته قبلا هم از آن‌ها استفاده کردیم؛ مانند زمانی که قصد داشتیم نسخه پایتون مورد نظر خود را بیابیم یا حتی زمانی که قصد داشیم یک اسکریپت را اجرا کنیم. واقعیت این است که دستور فراخوانی پایتون الگویی دارد که شکل کامل آن در پایین آورده شده است. - -در *پایتون 2x* [`اسناد پایتون `__]:: - - python [-BdEiOQsRStuUvVWxX3?] [-c command | -m module-name | script | - ] [args] - -در *پایتون 3x* [`اسناد پایتون `__]:: +در کنار دستور فراخوانی پایتون در خط فرمان، می‌توان از گزینه‌ها و دستورهای گوناگونی بهره برد. البته قبلا هم از آن‌ها استفاده کردیم؛ مانند زمانی که قصد داشتیم نسخه پایتون مورد نظر خود را بیابیم یا حتی زمانی که قصد داشیم یک اسکریپت را اجرا کنیم. واقعیت این است که دستور فراخوانی پایتون الگویی دارد که شکل کامل آن در پایین آورده شده است. [`اسناد پایتون `__]:: python [-bBdEhiIOqsSuvVWx?] [-c command | -m module-name | script | - ] [args] @@ -331,19 +277,17 @@ شامل برخی از حروف الفباست که به همراه یک کاراکتر خطِ فاصله (Dash) ``-`` بعد از دستور اصلی یعنی ``python`` می‌آیند؛ برخی از این گزینه‌ها به شرح زیر است: -* ``q−`` (تنها در پایتون 3x) - در هنگام ورود به حالت تعاملی پایتون از نمایش پیغام ابتدایی صرف نظر می‌شود:: +* ``q−`` در هنگام ورود به حالت تعاملی پایتون از نمایش پیغام ابتدایی صرف نظر می‌شود:: - user> python3 -q + user> python -q >>> 2 + 2 4 -* ``Q-`` (تنها در پایتون 2x) - در هنگام اجرای یک اسکریپت و برای کنترل عملگرهای تقسیم ``/`` موجود در آن به کار می‌رود؛ به این صورت که پس از آن می‌بایست یکی از کلمه‌های warn ،new ،old و warnall ذکر گردد. - - * Qold: حاصل تقسیم دو عدد صحیح یک عدد صحیح باشد. + * Qold: حاصل تقسیم دو عدد صحیح یک عدد صحیح باشد. (پیکربندی چگونگی محاسبات ریاضی) - * Qnew: حاصل تقسیم دو عدد صحیح یک عدد ممیز شناور باشد - مانند نسخه 3x پایتون. + * Qnew: حاصل تقسیم دو عدد صحیح یک عدد ممیز شناور باشد. (پیکربندی چگونگی محاسبات ریاضی) - * Qwarn: حاصل تقسیم دو عدد صحیح یک عدد صحیح باشد، به همراه نمایش پیام هشدار به ازای هر عملگر. + * Qwarn: حاصل تقسیم دو عدد صحیح یک عدد صحیح باشد، به همراه نمایش پیام هشدار به ازای هر عملگر. (پیکربندی چگونگی محاسبات ریاضی) * Qwarnall: به مانند Qwarn است ولی به ازای تمام عملگرهای تقسیم به کار رفته در اسکریپت تنها یک پیام هشدار نمایش داده می‌شود. @@ -361,15 +305,15 @@ .. tip:: در صورت استفاده از این گزینه‌ها، به جای فایل ``pyc.`` (بایت‌کد معمولی)، فایلی با پسوند ``pyo.`` (بایت‌کد بهینه شده) ایجاد می‌گردد. -* ``B-`` - مفسر پایتون از ذخیره بایت‌کد ماژول‌های import شده بر روی دیسک خودداری می‌کند:: +* ``B-`` مفسر پایتون از ذخیره بایت‌کد ماژول‌های import شده بر روی دیسک خودداری می‌کند:: python -B script.py -* ``d-`` - برخی از گزارش‌های اضافه خطایابی (در صورت وجود) نمایش داده می‌شوند:: +* ``d-`` برخی از گزارش‌های اضافه خطایابی (در صورت وجود) نمایش داده می‌شوند:: python -d script.py -* ``i-`` - پس از اجرای اسکریپت، خط فرمان به حالت تعاملی پایتون وارد می‌شود:: +* ``i-`` پس از اجرای اسکریپت، خط فرمان به حالت تعاملی پایتون وارد می‌شود:: python -i script.py @@ -381,7 +325,7 @@ python -h -* ``S-`` - از import شدن ماژول ``site`` جلوگیری می‌شود:: +* ``S-`` از import شدن ماژول ``site`` جلوگیری می‌شود:: python -S @@ -391,7 +335,7 @@ هر زمان که ماژولی import می‌شود مفسر پایتون در داخل دایرکتوری‌های مشخصی به دنبال آن می‌گردد؛ این دایرکتوری‌ها در ``sys.path`` فهرست شده‌اند. - برای نمونه - *پایتون 3x در ویندوز*: + برای نمونه در ویندوز: :: @@ -403,11 +347,11 @@ >>> - برای نمونه - *پایتون 3x در گنولینوکس*: + در گنولینوکس: :: - user> python3 -qS + user> python -qS >>> import sys >>> sys.path @@ -429,44 +373,44 @@ فایل mypath.pth را با یک ویرایشگر متن باز کرده و مشابه پایین فهرست دایرکتوری‌های مورد نظر خود را در آن وارد می‌نماییم:: - /home/saeid/Documents - /home/saeid/Documents/me + /home/user/Documents + /home/user/Documents/me اکنون تمام ماژول‌های موجود در این دایرکتوری‌ها قابل import هستند؛ به فهرست ``sys.path`` توجه نمایید:: - user> python3 -q + user> python -q >>> import sys >>> sys.path - ['', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages', '/home/saeid/Documents', '/home/saeid/Documents/me'] + ['', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages', '/home/user/Documents', '/home/user/Documents/me'] >>> همین کار را می‌توان از طریق برنامه‌نویسی نیز انجام داد، البته پس از اتمام اجرای اسکریپت (در اینجا: خروج از حالت تعاملی) اثر آن از بین می‌رود:: - user> python3 -q + user> python -q >>> import sys - >>> sys.path.append('/home/saeid/Documents') - >>> sys.path.append('/home/saeid/Documents/me') + >>> sys.path.append('/home/user/Documents') + >>> sys.path.append('/home/user/Documents/me') تابع ``append`` دایرکتوری مورد نظر را به انتهای فهرست ``sys.path`` اضافه می‌کند. البته می‌توان با استفاده از تابع ``insert`` به جای ``append`` جایگاه دایرکتوری دلخواه خود را با استفاده از آرگومان نخست آن در ``sys.path`` مشخص نمود؛ با این کار دایرکتوری مورد نظر زودتر از دایرکتوری‌های بعد خودش توسط مفسر مورد جستجو قرار می‌گیرد - فایده این کار زمانی مشخص می‌شود که در دایرکتوری‌هایی مجزا، ماژولی با نام یکسان وجود داشته باشد؛ در این صورت ماژولی که زودتر توسط مفسر دیده شود به عنوان ماژول مورد نظر import می‌شود:: - user> python3 -q + user> python -q >>> import sys - >>> sys.path.insert(1,'/home/saeid/Documents/me') + >>> sys.path.insert(1,'/home/user/Documents/me') >>> sys.path - ['', '/home/saeid/Documents/me', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages'] + ['', '/home/user/Documents/me', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages'] >>> - چند درس جلوتر خواهید آموخت که مقدار ``sys.path`` در واقع یک شی از نوع ``list`` است؛ ``append`` و ``insert`` نیز تابع‌هایی [#f4]_ هستند که توسط یک شی از نوع ``list`` می‌توانند فراخوانی گردند. در این مرحله تنها به یاد داشته باشید که موقعیت‌ها در یک شی از نوع ``list`` از عدد صفر شماره‌گذاری می‌گردند. + چند درس جلوتر خواهید آموخت که مقدار ``sys.path`` در واقع یک شی از نوع ``list`` است؛ ``append`` و ``insert`` نیز تابع‌هایی [#f4]_ هستند که توسط یک شی از نوع ``list`` ارایه می‌گردد. در این مرحله تنها به یاد داشته باشید که موقعیت‌ها در یک شی از نوع ``list`` از عدد صفر شماره‌گذاری می‌گردند. .. rubric:: دسته دوم: -* ``c command-`` - این الگو امکان اجرای دستورهای پایتون را بدون ورود به حالت تعاملی یا ایجاد اسکریپت، فراهم می‌سازد:: +* ``c command-`` این الگو امکان اجرای دستورهای پایتون را بدون ورود به حالت تعاملی یا ایجاد اسکریپت، فراهم می‌سازد:: - user> python3 -c "import sys; print(sys.path)" + user> python -c "import sys; print(sys.path)" ['', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages'] .. note:: @@ -474,18 +418,11 @@ استفاده از سمی‌کالن ( ``;`` )‌ در پایان دستورهای پایتون اجباری نیست ولی چنانچه بخواهیم چند دستور را در یک سطر قرار بدهیم می‌بایست از آن استفاده نماییم. -* ``m module-name-`` - این الگو امکان اجرای یک ماژول (از میان فهرست ``sys.path``) را به عنوان ماژول ``__main__`` فراهم می‌سازد. - - جالب‌ترین نمونه برای بیان کاربرد این الگو، اجرای ماژول ``SimpleHTTPServer`` است. زمانی که نیاز به راه‌اندازی سریع یک وب سرور را دارید و نمی‌خواهید خود را درگیر نصب و پیکربندی Apache یا دیگر وب سرور‌ها نمایید؛ می‌توانید از این ماژول پایتون بهره بگیرید. این ماژول امکانات یک وب سرور ساده را در اختیار شما قرار می‌دهد. البته این ماژول در نسخه 3x پایتون در ماژول ``http.server`` ادغام شده است. - - در *پایتون 2x* [`اسناد پایتون `__]:: +* ``m module-name-`` این الگو امکان اجرای یک ماژول (از میان فهرست ``sys.path``) را به عنوان ماژول ``'__main__'`` فراهم می‌سازد. - user> python -m SimpleHTTPServer 8080 + جالب‌ترین نمونه برای بیان کاربرد این الگو، اجرای ماژول ``http.server`` است. زمانی که نیاز به راه‌اندازی سریع یک وب سرور دارید و نمی‌خواهید خود را درگیر نصب و پیکربندی Nginx یا دیگر وب سرور‌ها نمایید؛ می‌توانید از این ماژول پایتون بهره بگیرید. این ماژول امکانات یک وب سرور ساده را در اختیار شما قرار می‌دهد. [`اسناد پایتون `__]:: - - در *پایتون 3x* [`اسناد پایتون `__]:: - - user> python3 -m http.server 8080 + user> python -m http.server 8080 .. note:: در استفاده از این الگو نیز همانند زمان import، پسوند ماژول (py) نوشته نمی‌شود. @@ -493,11 +430,11 @@ می‌توان شماره پورت را وارد نکرد که در این حالت به صورت پیش‌فرض پورت 8000 در نظر گرفته می‌شود. - ولی منظور از ماژول ``__main__`` چیست؟ + ولی منظور از ماژول ``'__main__'`` چیست؟ - هنگامی که ماژولی (برای نخستین بار) import می‌شود، مفسر پایتون به صورت خودکار تمام کد‌های درون آن را اجرا می‌کند. در مواردی ممکن است یک فایل py. حاوی کدهایی باشد که تنها می‌بایست در حالت اسکریپت به اجرا درآید؛ در این شرایط با import شدن فایل، این کد‌ها نیز اجرا می‌گردند که خواست برنامه‌نویس نمی‌باشد!. از طرفی در پایتون یک سری مقادیر و متغیرهای ویژه و از پیش تعریف شده به مانند ``__name__`` وجود دارد. متغیر ``__name__`` به نام ماژول اشاره دارد؛ در حالت اسکریپت (اجرای یک ماژول به صورت مستقیم - نمونه دستور: ``python script.py`` - درس پیش توضیح داده شد) مقدار ``__name__`` برابر با یک مقدار ویژه به نام ``__main__`` می‌گردد که از این موضوع می‌توان برای کنترل اجرای کدها استفاده کرد. + هنگامی که ماژولی (برای نخستین بار) import می‌شود، مفسر پایتون به صورت خودکار تمام کد‌های درون آن را اجرا می‌کند. در مواردی ممکن است یک فایل py. حاوی کدهایی باشد که تنها می‌بایست در حالت اسکریپت به اجرا درآید؛ در این شرایط با import شدن فایل، این کد‌ها نیز اجرا می‌گردند که خواست برنامه‌نویس نمی‌باشد!. از طرفی در پایتون یک سری مقادیر و متغیرهای ویژه و از پیش تعریف شده به مانند ``__name__`` وجود دارد. متغیر ``__name__`` به نام ماژول اشاره دارد؛ در حالت اسکریپت (اجرای یک ماژول به صورت مستقیم - نمونه دستور: ``python script.py`` - درس پیش توضیح داده شد) مقدار ``__name__`` برابر با یک مقدار ویژه به نام ``'__main__'`` می‌گردد که از این موضوع می‌توان برای کنترل اجرای کدها استفاده کرد. - معمولا کدهای اسکریپت به گونه‌ای نوشته می‌شوند که اجرای آن‌ها وابسته به اجرای یک تابع اصلی باشد که معمولا ``()main`` نامیده می‌شود که در انتها بتوان با قرار دادن شرط برابری مقدار ``__name__`` با ``__main__`` برای اجرای تابع یاد شده، از اجرای کد‌های مورد نظر تنها در حالت اجرا به صورت اسکریپت (و نه در زمان import) مطمئن شد. + معمولا کدهای اسکریپت به گونه‌ای نوشته می‌شوند که اجرای آن‌ها وابسته به اجرای یک تابع اصلی باشد که معمولا ``()main`` نامیده می‌شود که در انتها بتوان با قرار دادن شرط برابری مقدار ``__name__`` با ``'__main__'`` برای اجرای تابع یاد شده، از اجرای کد‌های مورد نظر تنها در حالت اجرا به صورت اسکریپت (و نه در زمان import) مطمئن شد. .. code-block:: python :linenos: @@ -509,7 +446,7 @@ main() -* ``script`` - این الگو (``python script.py``) بیان‌‌گر همان روش اجرای اسکریپت است که در درس پیش به صورت کامل راجب آن صحبت شد. +* ``script`` این الگو (``python script.py``) بیان‌‌گر همان روش اجرای اسکریپت است که در درس پیش به صورت کامل بررسی شد. .. rubric:: دسته سوم (Arguments): @@ -519,9 +456,6 @@ .. code-block:: python :linenos: - - # file: Documents/script-argv-3x.py - # Python 3.x import sys @@ -534,10 +468,10 @@ :: - user> python3 Documents/script-argv-3x.py arg_1 arg_2 + user> python /home/user/Documents/script-argv.py arg_1 arg_2 - ['/home/saeid/Documents/script-argv-3x.py', 'arg_1', 'arg_2'] - /home/saeid/Documents/script-argv-3x.py + ['/home/user/Documents/script-argv.py', 'arg_1', 'arg_2'] + /home/user/Documents/script-argv.py arg_1 arg_2 @@ -545,11 +479,11 @@ عضو نخست ``sys.argv`` یا ``[sys.argv[0`` همواره حاوی نام اسکریپت است. البته به جز در مواقعی که از ``c-`` استفاده کرده‌ایم که در این صورت برابر مقدار ``'c-'`` خواهد بود:: - user> python3 -c "import sys; print(sys.argv)" 2 + user> python -c "import sys; print(sys.argv)" 2 ['-c', '2'] - +.. _lesson-04-footer: پی‌نوشت ------- From 5a39a6516d95b5fb17ec10ff67362577e75a3c8f Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sun, 2 Apr 2023 11:20:40 +0330 Subject: [PATCH 17/74] edited l04 --- .../lessons/l04-python-interactive-mode.rst | 97 +++++++++++++++---- 1 file changed, 80 insertions(+), 17 deletions(-) diff --git a/source/lessons/l04-python-interactive-mode.rst b/source/lessons/l04-python-interactive-mode.rst index b3b04dc..63a0506 100644 --- a/source/lessons/l04-python-interactive-mode.rst +++ b/source/lessons/l04-python-interactive-mode.rst @@ -132,7 +132,19 @@ اکنون می‌دانیم که برای وارد کردن یک ماژول به یک اسکریپت (یا ماژولی دیگر) از دستور import استفاده می‌گردد. پس از آن، برای دستیابی اجزای داخل آن مانند فراخوانی یک تابع نیز می‌بایست از الگوی «نام ماژول + نقطه + نام تابع مورد نظر» استفاده گردد. -مثالی دیگر - ``sys`` یکی از ماژول‌های مهم پایتون است؛ این ماژول امکان دسترسی به برخی از متغیرهای مورد استفاده مفسر (در زمان اجرا) و همچنین تابع‌هایی که با مفسر در ارتباط هستند را فراهم می‌آورد [`اسناد پایتون `__]: +و اگر از روش ``... from ... import`` استفاده کنیم: در این صورت می‌توان به جای کل ماژول، تنها اجزای مورد نیاز خود را import نماییم و دیگر نیازی به ذکر نام ماژول نیز نخواهد بود:: + + >>> from math import sqrt, pow, radians, sin + >>> sqrt(36) + 6.0 + >>> pow(3, 2) + 9.0 + >>> radians(90) + 1.5707963267948966 + >>> sin(_) + 1.0 + +مثالی دیگر - ``sys`` یکی از ماژول‌های مهم پایتون است؛ این ماژول امکان دسترسی به برخی از متغیرهای مورد استفاده توسط مفسر (در زمان اجرا) و همچنین تابع‌هایی که با مفسر در ارتباط هستند را فراهم می‌آورد [`اسناد پایتون `__]: .. code-block:: python @@ -150,7 +162,27 @@ >>> sys.getdefaultencoding() 'utf-8' -دستور ``()sys.exit`` نیز موجب توقف اجرا (در اینجا: خروج از حالت تعاملی پایتون) می‌گردد. برای کنترل خطاها کاربرد دارد و همچنین می‌توان پیامی مرتبط را به خروجی فرستاد (معمولا گزارش رویدادی که موجب اتمام ناگهانی برنامه شده‌ است):: +یا: + +.. code-block:: shell + + >>> from sys import version, version_info, platform, getdefaultencoding + + >>> version + '3.4.2 (default, Jan 25 2015, 20:02:16) \n[GCC 4.9.2 20141101 (Red Hat 4.9.2-1)]' + + >>> version_info + sys.version_info(major=3, minor=4, micro=2, releaselevel='final', serial=0) + + >>> platform + 'linux' + + >>> getdefaultencoding() + 'utf-8' + +دستور ``()sys.exit`` نیز موجب توقف اجرا (در اینجا: خروج از حالت تعاملی پایتون) می‌گردد. برای کنترل خطاها کاربرد دارد و همچنین می‌توان پیامی مرتبط را به خروجی فرستاد (معمولا گزارش رویدادی که موجب اتمام ناگهانی برنامه شده‌ است): + +.. code-block:: shell >>> import sys @@ -159,6 +191,20 @@ user> +یا + +.. code-block:: shell + + >>> from sys import exit as bye + + >>> bye("Error: Goodbye! :| ") + Error: Goodbye! :| + + user> + + +با استفاده از ``as`` می‌توان برای اجزای import شده (به هر دو روش)، یک نام دلخواه تنظیم کرد. این ویژگی در زمانی که نام اصلی طولانی بوده یا با یکی از اجزای داخل ماژول همنام باشد (برای جلوگیری از تداخل) کاربرد دارد. + .. _python-help: @@ -404,7 +450,7 @@ ['', '/home/user/Documents/me', '/usr/local/lib/python34.zip', '/usr/local/lib/python3.4', '/usr/local/lib/python3.4/plat-linux', '/usr/local/lib/python3.4/lib-dynload', '/usr/local/lib/python3.4/site-packages'] >>> - چند درس جلوتر خواهید آموخت که مقدار ``sys.path`` در واقع یک شی از نوع ``list`` است؛ ``append`` و ``insert`` نیز تابع‌هایی [#f4]_ هستند که توسط یک شی از نوع ``list`` ارایه می‌گردد. در این مرحله تنها به یاد داشته باشید که موقعیت‌ها در یک شی از نوع ``list`` از عدد صفر شماره‌گذاری می‌گردند. + چند درس جلوتر خواهید آموخت که مقدار ``sys.path`` در واقع یک شی از نوع ``list`` است؛ ``append`` و ``insert`` نیز تابع‌هایی هستند که توسط یک شی از نوع ``list`` ارایه می‌گردد. در این مرحله تنها به یاد داشته باشید که موقعیت‌ها در یک شی از نوع ``list`` از عدد صفر شماره‌گذاری می‌گردند. .. rubric:: دسته دوم: @@ -437,7 +483,6 @@ معمولا کدهای اسکریپت به گونه‌ای نوشته می‌شوند که اجرای آن‌ها وابسته به اجرای یک تابع اصلی باشد که معمولا ``()main`` نامیده می‌شود که در انتها بتوان با قرار دادن شرط برابری مقدار ``__name__`` با ``'__main__'`` برای اجرای تابع یاد شده، از اجرای کد‌های مورد نظر تنها در حالت اجرا به صورت اسکریپت (و نه در زمان import) مطمئن شد. .. code-block:: python - :linenos: def main(): print("this runs only when executed directly") @@ -455,21 +500,29 @@ .. code-block:: python - :linenos: import sys - - print(sys.argv) - print(sys.argv[0]) - print(sys.argv[1]) - print(sys.argv[2]) + + def main(): + print(sys.argv) + print(sys.argv[0]) + print(sys.argv[1]) + print(sys.argv[2]) + + if __name__ == '__main__': + main() + +.. tip:: + از آنجا که عملکرد و خروجی مورد نظر این ماژول تنها در حالت اجرای اسکریپت است (دریافت آرگومان‌ها) و نه import آن در برنامه، بنابراین با بررسی نام ماژول در زمان اجرا از این موضوع اطمینان حاصل کردیم. + اسکریپت بالا را با ارسال دو آرگومان ``arg_1`` و ``arg_2`` اجرا می‌نماییم: :: - user> python /home/user/Documents/script-argv.py arg_1 arg_2 - + user> cd /home/user/Documents + + user> python script.py arg_1 arg_2 ['/home/user/Documents/script-argv.py', 'arg_1', 'arg_2'] /home/user/Documents/script-argv.py arg_1 @@ -483,19 +536,31 @@ ['-c', '2'] + +.. admonition:: تمرین + + یک اسکریپت ایجاد نمایید که دو پارامتر نام و سن را به صورت آرگومان‌های اسکریپت دریافت و بر روی خروجی نمایش دهد. + + نمونه دستور اجرای اسکریپت: + + ``python script.py "Hideyoshi Nagachika" 19`` + + نمونه خروجی اسکریپت: + + ``Name: Hideyoshi Nagachika - Age: 19`` + + .. _lesson-04-footer: پی‌نوشت ------- -.. [#f1] «عبارت» (Expression) یک قطعه از سینتکس است که می‌تواند به یک مقدار ارزیابی گردد، عبارت شامل «کلمه‌های کلیدی» (Keywords) نمی‌شود و «دستور» (Statement) بخشی از یک بلاک کد است که شامل کلمه‌های کلیدی بوده و کاری را به انجام می‌رساند. [کلمه‌های کلیدی در آینده بررسی می‌شوند.] +.. [#f1] «عبارت» (Expression) یک قطعه از کد است که می‌تواند به یک مقدار ارزیابی گردد، عبارت شامل «کلمه‌های کلیدی» (Keywords) نمی‌شود و «دستور» (Statement) بخشی از یک بلاک کد است که شامل کلمه‌های کلیدی بوده و کاری را به انجام می‌رساند. [کلمه‌های کلیدی در آینده بررسی می‌شوند.] .. [#f2] درست این بود که به جای واژه «مقدار» (Value) از «شی» (Object) استفاده می‌شد؛ چرا که هر چیزی در پایتون یک شی است. به عنوان نمونه، عدد 5 یک شی از کلاس «اعداد صحیح» (Integers) می‌باشد. .. [#f3] توضیحی است که در ابتدای تابع‌ها، کلاس‌ها و ماژول‌ها می‌آید و توسط مفسر نادیده گرفته نمی‌شود. [docstring در آینده بررسی می‌شود] -.. [#f4] واژه «تابع» در مفهوم شی، مناسب نیست. در تعریف شی‌گرا از واژه «متد» (Method) به جای «تابع» (Function) استفاده می‌گردد؛ ولی در این مرحله که هنوز به شی‌گرایی پرداخته نشده است، ترجیح داده شد تا از واژه «تابع» استفاده گردد. - | @@ -504,6 +569,4 @@ :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - From ddbc0c7a1b5f6687740bab3777696b1020aef3ed Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sun, 2 Apr 2023 14:43:23 +0330 Subject: [PATCH 18/74] edited l05 --- source/index.rst | 2 +- .../l05-object-oriented-programming.rst | 193 +++++++++++ source/lessons/l05.rst | 299 ------------------ 3 files changed, 194 insertions(+), 300 deletions(-) create mode 100644 source/lessons/l05-object-oriented-programming.rst delete mode 100644 source/lessons/l05.rst diff --git a/source/index.rst b/source/index.rst index 74fe8c7..68ddca4 100644 --- a/source/index.rst +++ b/source/index.rst @@ -32,7 +32,7 @@ lessons/l02-setup-python lessons/l03-create-and-run-a-python-project lessons/l04-python-interactive-mode - lessons/l05 + lessons/l05-object-oriented-programming lessons/l06 lessons/l07 lessons/l08 diff --git a/source/lessons/l05-object-oriented-programming.rst b/source/lessons/l05-object-oriented-programming.rst new file mode 100644 index 0000000..0082b31 --- /dev/null +++ b/source/lessons/l05-object-oriented-programming.rst @@ -0,0 +1,193 @@ +.. role:: emoji-size + +.. meta:: + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس پنجم: مفهوم شی‌گرایی + :keywords: شی گرایی, مفهوم شی گرایی, اصول و مبانی شی گرایی, کلاس, شی, متد, صفت, سازنده, نمونه سازی, کپسوله سازی, وراثت, چندریختی, انتزاع, تجرید, برنامه نویسی شی گرا, اشیا در پایتون, کلاس ها در پایتون, آموزش برنامه نویسی, آموزش پایتون,آموزش, سلسله مراتب وراثت, is-a,has-a, ترکیب + +.. _lesson-05: + +درس ۰۵: مفهوم شی‌گرایی +======================== + + +.. figure:: /_static/pages/05-python-object-oriented-programming-concept.jpg + :align: center + :alt: مفهوم شی گرایی (Object-Oriented Programming) + :class: page-image + + Photo by `Lucas Benjamin `__ + +این درس به توضیح مفاهیم پایه «برنامه‌نویسی شی‌گرا» (Object-Oriented Programming) اختصاص یافته است و آخرین درس از سطح «پایه» در این کتاب می‌باشد. هدف از این درس آشنایی خوانندگان با مفاهیم عمومی شی‌گرایی بوده و نه آموزش آن؛ جزییات بیشتر از برنامه‌نویسی شی‌گرا به همراه آموزش پیاده‌سازی مفاهیم آن در زبان پایتون از درس هفدهم تا بیست و دوم به صورت کامل بررسی خواهد شد. البته در این درس کمی به ساختار اشیا و کلاس‌ها در زبان پایتون اشاره‌ شده است که پیش‌نیاز دروس آتی خواهد بود. + + +:emoji-size:`✔` سطح: پایه + +---- + +.. contents:: سرفصل‌ها + :depth: 2 + +---- + + +.. _object-oriented-programming: + +برنامه‌نویسی شی‌گرا +-------------------- +«برنامه‌نویسی شی‌گرا» (`Object-Oriented Programming `_) یا به اختصار OOP یک الگو یا شیوه تفکر در برنامه‌نویسی است که برگرفته از دنیای واقعی بوده و از دهه ۱۹۶۰ میلادی مطرح گشته است. به زبانی که از این الگو پشتیبانی کند، «زبان شی‌گرا» گفته می‌شود؛ `Simula 67 `_ و `Smalltalk `_ نخستین زبان‌های برنامه‌نویسی شی‌گرا هستند. ایده شی‌گرایی در پاسخ به برخی از نیازها که الگوهای موجود پاسخ‌گو آن‌ها نبودند به وجود آمد؛ نیازهایی مانند: توانایی پیاده‌سازی مسائل پیچیده (Complex)، «پنهان‌سازی داده» (Data Hiding)، «قابلیت استفاده مجدد» (Reusability) بیشتر، وابستگی کمتر به توابع، انعطاف بالا و... + +رویکرد برنامه‌نویسی شی‌گرا «از پایین به بالا» (Bottom-Up) است؛ یعنی ابتدا واحدهایی کوچک از برنامه ایجاد می‌شوند و سپس با پیوند این واحدها، واحدهایی بزرگتر و در نهایت شکلی کامل از برنامه به وجود می‌آید. برنامه‌نویسی شی‌گرا در قالب دو مفهوم «**کلاس**» (Class) و «**شی**» (Object) ارایه می‌گردد. هر کلاس واحدی از برنامه است که بخشی از عملیات‌ها و داده‌های یک برنامه را تعریف می‌کند و هر شی نیز یک نمونه پیاده‌سازی شده از یک کلاس است. می‌توان هر تعداد شی از یک کلاس ایجاد کرد. هر شی مستقل از دیگر اشیای ایجاد شده خواهد بود که می‌تواند مقادیر متفاوتی را در خود نگهداری کند (در چهارچوبی که توسط کلاس آن تعریف شده است). در برنامه‌نویسی شی‌گرا، تمامی عملیات‌های قابل انتظار یک برنامه از تعامل اشیای گوناگون با یکدیگر حاصل می‌شود. + + +برای مثال، کارخانه تولید یک مدل خودرو را می‌توانیم به شکل یک ساختار بزرگ در نظر بگیریم. بدیهی است که این کارخانه شامل بخش‌های تولیدی کوچکتری به مانند: سیستم الکتریکی، سیستم چرخ‌ها، سیستم سوخت، سیستم خنک کننده، موتور و... است که هر کدام نیز در نوع خود می‌تواند به واحدهایی کوچکتر تقسیم گردد. طراحی شی‌گرای این کارخانه به این صورت می‌شود که ابتدا می‌بایست کلاس‌های کوچکترین واحدها را ایجاد کرد که کاملا ایزوله از یکدیگر هستند. پس از آن به ترتیب کلاس‌هایی بزرگتر تعریف می‌گردند که در آنها بخشی از عملیات‌های مرتبط با یکدیگر هماهنگ می‌شوند، این کلاس‌ها در تعریف خود حاوی اشیای کلاس‌های کوچکتر خواهند بود. با گسترش این طرح به تعریف کلاس نهایی می‌رسیم که در اینجا همان کلاس کارخانه است. اکنون این کلاس با هماهنگ کردن اشیای واحدهای کوچکتر از خود و تعریف عملیات‌های مورد نیاز، آماده تولید نمونه‌های کامل و مورد انتظار خواهد بود. به این صورت که با ایجاد یک شی از آن، یک موجودیت اجرایی (خودرو) پدید می‌آید. + +.. _oop-concepts: + +مفاهیم شی‌گرایی +-------------------- + + +گفته شد که هر کلاس ساختاری است که تعدادی داده و عملیات مرتبط را تعریف می‌کند. از دید برنامه‌نویسی، هر کلاس از دو بخش «اعضای داده» (Data Members) و «توابع عضو» (Member Functions) تشکیل شده است. اعضای داده در واقع همان متغیر‌های درون کلاس هستند که خصوصیات یا صفات شی را بیان می‌کنند و در شی‌گرایی با عنوان «**فیلد**» (Field) یا «**صفت**» (Attribute) از آن‌ها یاد می‌شود. توابع عضو نیز عملیات یا کارهایی هستند که یک شی از کلاس قادر به انجام آن‌ها می‌باشد؛ در شی‌گرایی به این توابع «**متد**» (Method) گفته می‌شود. + +تا به اینجا با مفاهیم «کلاس»، «صفت»، «متد» و «شی» آشنا شده‌ایم؛ در ادامه به توضیح مفاهیم اصلی از برنامه‌نویسی شی‌گرا خواهیم پرداخت. + +.. rubric:: نمونه‌سازی: + +به هر شی از یک کلاس، یک نمونه (Instance) از آن کلاس گفته می‌شود و به عمل ایجاد شی از کلاس در شی‌گرایی «**نمونه‌سازی**» (Instantiation) گفته می‌شود. در این مفهموم، هدف نهایی از تعریف کلاس‌ها در برنامه، تنها تولید شی نیست. گاهی نیز وجود یک کلاس تنها برای درج تعاریف مشترک بین چند کلاس دیگر کاربرد پیدا می‌کند. بر همین اساس دو نوع کلاس در شی‌گرایی وجود دارد: ۱- کلاس‌های عادی که توانایی نمونه‌سازی دارند و به آن‌ها **”Concrete Class“** گفته می‌شود ۲- کلاس‌هایی که توانایی نمونه‌سازی ندارند و به آن‌ها **”Abstract Class“** گفته می‌شود. + +همانطور که در دروس مربوط به پیاده‌سازی کلاس خواهید دید؛ با ایجاد هر نمونه از کلاس یک متد خاص در آن به صورت خودکار اجرا می‌گردد. این متد «**سازنده**» (Constructor) نام دارد و کار آن «**مقداردهی اولیه**» (Initialization) شی است. این کار موجب اطمینان از مقداردهی تمامی اعضای داده پیش از استفاده شی در برنامه می‌گردد. + + +برای مثال یک کلاس خودرو ساده را در نظر بگیرید که در آن صفات: رنگ بدنه، ظرفیت باک، بیشینه سرعت و متدهای: راندن، دریافت میزان سوخت، سوخت گیری، تنظیم سرعت، توقف تعریف شده است. در همان ابتدا یعنی زمان نمونه‌سازی می‌توانیم با تنظیم صفات توسط متد سازنده، اشیا هم نوع ولی با صفات متفاوتی را ایجاد نماییم. برای مثال: دو خودروی آبی با ظرفیت باک ۲۰ لیتر و بیشینه سرعت ۸۰ کیلومتر-ساعت یا یک خودروی صورتی با ظرفیت باک ۴۰ لیتر و بیشینه سرعت ۱۶۰ کیلومتر-ساعت که البته هر سه آن‌ها تمام متدهای کلاس را در خود دارند: + +.. image:: /_static/l05-car-class-sample.jpg + :align: center + +.. image:: /_static/l05-car-class-object-sample.jpg + :align: center + +.. rubric:: کپسوله‌سازی: + +یک مفهوم دیگر در برنامه‌نویسی شی‌گرا، «**کپسوله‌سازی**» (Encapsulation) است. کپسوله‌سازی به معنی پنهان‌سازی داده‌ها یا عملیات‌های درون یک شی است که با محدودسازی دسترسی به آن‌ها به دست می‌آید. در این شرایط اشیا باید بدون آگاهی از ساختار درونی و چگونگی انجام عملیات یکدیگر به تعامل بپردازند. این امر از پیچیدگی برنامه جلوگیری و تغییر را ساده‌تر می‌کند. + +.. rubric:: وراثت: + +وراثت یکی از شکل‌های «قابلیت استفاده مجدد» کد بوده که برنامه‌نویس را قادر می‌سازد تا با ارث‌بری صفات و متدهای یک یا چند کلاس موجود، کلاس‌های جدیدی را ایجاد نماید. + + +برای نمونه فرض کنیم طراح کلاس خودروی پیش، قصد طراحی یک مدل خودرو جدید با رویکرد باربری دارد؛ بنابراین می‌بایست کلاسی جدید برای تولید آن تهیه نماید. ولی کلاس جدید علاوه‌بر صفات (ظرفیت بارگیری و..) و متدهای (انجام بارگیری، تخلیه بار و...) خاص خودش به صفات (رنگ بدنه، ظرفیت باک و...) و متدهای (راندن، سوخت گیری، توقف و...) مشابه در کلاس قبل هم نیاز دارد؛ در این حالت نیازی به تعریف مجدد آن‌ها نیست و می‌توان صفات و متدهای کلاس پیش را در کلاس جدید به ارث برد یا یک Abstract Class برای درج تعاریف مشترک هر دو کلاس ایجاد کرد که این دو مدل خورد می‌توانند آن را به ارث ببرند. + +به کلاسی که از آن ارث‌بری می‌شود **”Parent Class“** یا **”Base Class“** (کلاس پایه) یا **”Superclass“** و به کلاسی که اقدام به ارث‌بری می‌کند **”Child Class“** (کلاس فرزند) یا **”Derived Class“** یا **”Subclass“** گفته می‌شود. + +ارث‌بری توسط «نسبت **هست-یک**» (IS-A Relationship) بیان می‌شود؛ این نسبت می‌گوید کلاس فرزند یک نوع از چیزی است که کلاس پایه هست. کلاس A از کلاس B ارث‌بری دارد؛ در این حالت می‌گوییم: A is a type of B، یعنی درست است اگر بگوییم: «سیب» یک نوع «میوه» است یا «خودرو» یک نوع «وسیله نقلیه» است ولی توجه داشته باشید که این یک ارتباط یک‌طرفه از کلاس فرزند به کلاس پایه است و نمی‌توانیم بگوییم: «میوه» یک نوع «سیب» است یا «وسیله نقلیه» یک نوع «خودرو» است. + +کلاس‌ها می‌توانند مستقل باشند ولی هنگامی که وارد رابطه‌های وراثت می‌شوند، یک ساختار سلسله مراتب (Hierarchy) به شکل درخت را تشکیل می‌دهند. برای نمونه به ساختار سلسله مراتب وراثت پایین که مربوط به برخی اشکال هندسی است توجه نمایید، پیکان‌ها نشانگر نسبت is-a هستند. + +.. image:: /_static/l05-Inheritance-Hierarchy-Sample.png + :align: center + +.. rubric:: ترکیب: + +در برنامه‌نویسی شی‌گرا نسبت دیگری نیز با عنوان «نسبت **دارد-یک**» (HAS-A Relationship) وجود دارد که بیانگر مفهومی به نام «**ترکیب**» (Composition) است که شکل دیگری از قابلیت استفاده مجدد کد می‌باشد ولی مفهومی متفاوت با وراثت دارد. این نسبت زمانی بیان می‌شود که درون یک کلاس (مانند: C) از کلاس دیگری (مانند: D) نمونه‌سازی شده باشد؛ یعنی شی کلاس C درون خودش شی‌ای از کلاس D را داشته باشد؛ در این حالت می‌گوییم: C has a D. به یاد دارید خواندیم کلاس کارخانه خودروسازی با هماهنگ کردن اشیای واحدهای کوچکتر، عملیات خود را تعریف می‌کند. مثلا کلاس موتور - یعنی درون این کلاس یک شی از کلاس موتور ایجاد شده است، اکنون می‌توانیم بگوییم: «خودرو» یک «موتور» دارد. + +.. image:: /_static/l05-has-a-Sample.png + :align: center + +.. rubric:: چندریختی: + +مفهوم چندریختی (Polymorphism) بیانگر توانایی کلاس فرزند در بازتعریف متدهایی است که در کلاس پایه موجود می‌باشند. برای نمونه دو کلاس «ماهی» و «گربه» را که هر دو آن‌ها از کلاسی به نام «حیوان» ارث‌بری دارند را در نظر بگیرید؛ در کلاس حیوان متدی با عنوان «غذا خوردن» که عملی مشترک در میان تمام حیوانات است وجود دارد ولی از آنجا که چگونگی انجام آن در ماهی و گربه متفاوت است، بنابراین هر دو این کلاس‌ها نیاز دارند تا متد «غذا خوردن» مخصوص خود را داشته باشند - در این جاست که این متد در کلاس‌های فرزند بازتعریف می‌شود، به این عمل **”Method Overriding“** گفته می‌شود. با Override کردن یک متد، متد کلاس پایه زیر سایه متد مشابه در کلاس فرزند قرار می‌گیرد و از نظر اشیا کلاس فرزند پنهان می‌شود. + +.. rubric:: تجرید: + +تجرید (Abstraction) در برنامه‌نویسی شی‌گرا به همراه چندریختی می‌آید و توسط دو مفهوم «**کلاس‌های مجرد**» (Abstract Classes) و «**متدهای مجرد**» (Abstract Methods) ارایه می‌گردد. + +«کلاس مجرد» کلاسی است که شامل یک یا چند «متد مجرد» باشد و «متد مجرد» متدی است که اعلان (Declare) شده ولی بدنه آن ‌تعریف (Define) نشده است. کلاس‌های مجرد قابلیت نمونه‌سازی ندارند و نمی‌توان از آن‌ها شی ایجاد نمود؛ چرا که هدف از توسعه آن‌ها قرار گرفتن در بالاترین سطح (یا چند سطح بالایی) درخت وراثت، به عنوان کلاس پایه برای ارث‌بری کلاس‌های پایین‌تر می‌باشد. ایده طراحی کلاس مجرد در تعیین یک نقشه توسعه برای کلاس‌های فرزند آن است؛ تعیین صفات و متدهای لازم ولی واگذاردن تعریف متدها بر عهده کلاس‌های فرزند. + +به عنوان نمونه سه کلاس «ماهی»، «گربه» و «کبوتر» را در نظر بگیرید. این کلاس‌ها جدا از رفتارهای خاص خود (مانند: «پرواز کردن» در کبوتر یا «شنا کردن» در ماهی)، در یک سری رفتار به مانند «نفس کشیدن»، «غذا خوردن» و... مشترک هستند. راه درستِ توسعه این کلاس‌ها تعیین یک «کلاس پایه» برای رفتارهای مشترک و ارث‌بری هر سه آن‌ها می‌باشد. ولی از آنجا که هر یک، این رفتارهای مشترک را به گونه‌ای دیگر انجام می‌دهد؛ راه درست‌تر آن است که یک «کلاس مجرد» به عنوان «کلاس پایه» آن‌ها در نظر بگیریم؛ در این حالت هر کدام از کلاس‌ها ضمن دانستن رفتارهای لازم می‌تواند آن‌‌ها را متناسب با خواست خود تعریف نمایند. + + +.. note:: + + آنچه در ادامه این درس آورده شده است، چکیده‌ای از پیاده‌سازی برنامه‌نویسی شی گرا در پایتون است. شی گرایی در زبان برنامه نویسی پایتون به صورت کامل از درس هفدهم تا بیست و دوم به صورت کامل شرح داده می‌شود. + + +.. _object-in-python: + +اشیا در پایتون +---------------- + +علاوه‌بر اینکه پایتون یک زبان برنامه‌نویسی شی‌گراست، ساختار آن نیز بر مبنای شی‌گرایی توسعه یافته است و اینطور بیان می‌شود که **هر چیزی در پایتون یک شی است**. اشیا، انتزاعِ پایتون برای ارایه «انواع داده‌» (Data Types) هستند. به بیان دیگر تمام داده‌های یک برنامه پایتونی یا به صورت مستقیم یک شی است یا از روابط بین اشیا ایجاد می‌گردد. برای نمونه: ``56``، ``"!Hello World"``، توابع و... حتی خود کلاس‌ها نیز توسط یک نوع شی ارایه می‌شوند. + +هر شی در پایتون حاوی یک «**شناسه**» (identity)، یک «**نوع**» (type) و یک «**مقدار**» (value) است. + +* «شناسه» در زمان ایجاد شی به آن اختصاص می‌یابد و غیر قابل تغییر است. تابع ``()id`` شناسه شی را به صورت یک عدد صحیح برمی‌گرداند که این مقدار در CPython بیانگر نشانی (Address) شی در حافظه (Memory) است:: + + + >>> id(5) + 140468674877440 + + >>> num = 0.25 + >>> id(num) + 140468676592120 + + >>> msg = "Hello World!" + >>> id(msg) + 140468675425264 + + +* هر شی در پایتون دارای یک «نوع» یا ”type“ است که در واقع معرف کلاسی است که شی از آن ایجاد گردیده است. نوع هر شی توسط تابع ``()type`` قابل مشاهده است:: + + >>> type(127) + + + >>> msg = "Hello World!" + >>> type(msg) + + + >>> type(print) + + + .. caution:: + تمام اعداد صحیح (Integers) در پایتون یک شی از نوع ``int`` می‌باشند. [با انواع آماده (Built-in) شی در پایتون توسط دروس آینده آشنا خواهید شد.] + + +* «مقدار» برخی اشیا در پایتون قابل تغییر است که به این دسته از اشیا **”mutable“** (تغییر پذیر) گفته می‌شود؛ ولی مقدار برخی دیگر قابل تغییر نمی‌باشد (مانند اعداد: شی ``127``) که به آن‌ها اشیا **”immutable“** (تغییر ناپذیر) می‌گویند. + + +.. _class-in-python: + +کلاس‌ها در پایتون +----------------- + +از نسخه 2.2 طراحی کلاس‌ها در پایتون تغییر کرده است. [`New-style Classes `_] در ساختار جدید مفهوم ”type“ برابر مفهوم ”class“ طراحی شده است. در این ساختار هر کلاس، خود یک شی از کلاسی به نام ``type`` می‌باشد و همچنین تمامی کلاس‌ها از کلاسی به نام ``object`` ارث‌بری دارند:: + + + >>> num = 3 + + >>> num.__class__ + + + >>> type(num) + + + >>> type(type(num)) + + + >>> type(num).__class__ + + + >>> type(num).__bases__ + (,) + + +.. caution:: + صفت ``__class__`` نام کلاس یک شی و صفت ``__bases__`` نام کلاس‌های پایه یک کلاس را نمایش می‌دهد. + + +| + +---- + +:emoji-size:`😊` امیدوارم مفید بوده باشه + + diff --git a/source/lessons/l05.rst b/source/lessons/l05.rst deleted file mode 100644 index 3b5b6e7..0000000 --- a/source/lessons/l05.rst +++ /dev/null @@ -1,299 +0,0 @@ -.. role:: emoji-size - -.. meta:: - :description: کتاب آموزش زبان برنامه نویسی پایتون به فارسی، آموزش مفهوم شی گرایی، شی گرایی یا Object-Oriented Programming چیست؟، آموزش مفاهیم شی گرایی در پایتون، تعریف کلاس در پایتون، شی چیست؟، شی در پایتون چیست؟ - :keywords: شی گرایی, مفهوم شی گرایی, اصول و مبانی شی گرایی, کلاس, شی, متد, صفت, سازنده, نمونه سازی, کپسوله سازی, وراثت, چندریختی, انتزاع, تجرید, برنامه نویسی شی گرا, اشیا در پایتون, کلاس ها در پایتون, آموزش برنامه نویسی, آموزش پایتون,آموزش, سلسله مراتب وراثت, is-a,has-a, ترکیب - - -درس ۰۵: مفهوم شی‌گرایی -======================== - - -.. figure:: /_static/pages/05-python-object-oriented-programming-concept.jpg - :align: center - :alt: مفهوم شی گرایی (Object-Oriented Programming) - :class: page-image - - Photo by `Lucas Benjamin `__ - -این درس به توضیح مفاهیم پایه «برنامه‌نویسی شی‌گرا» (Object-Oriented Programming) اختصاص یافته است و آخرین درس از سطح‌بندی «پایه» در این کتاب می‌باشد. هدف از این درس آشنایی خوانندگان با مفاهیم عمومی شی‌گرایی بوده و نه آموزش آن؛ جزییات بیشتر از برنامه‌نویسی شی‌گرا به همراه آموزش پیاده‌سازی مفاهیم آن در زبان پایتون از درس هفدهم به بعد بررسی خواهد شد. در این درس همچنین به ساختار اشیا و کلاس‌ها در زبان پایتون اشاره‌ شده است که پیش‌نیاز دروس آتی خواهد بود. - - -:emoji-size:`✔` سطح: پایه - ----- - -.. contents:: سرفصل‌ها - :depth: 2 - ----- - - -برنامه‌نویسی شی‌گرا --------------------- -«برنامه‌نویسی شی‌گرا» (`Object-Oriented Programming `_) یا به اختصار OOP یک الگو یا شیوه تفکر در برنامه‌نویسی است که برگرفته از دنیای واقعی بوده و از دهه ۱۹۶۰ میلادی مطرح گشته است. به زبانی که از این الگو پشتیبانی کند، «زبان شی‌گرا» گفته می‌شود؛ `Simula 67 `_ و `Smalltalk `_ نخستین زبان‌های برنامه‌نویسی شی‌گرا هستند. ایده شی‌گرایی در پاسخ به برخی از نیازها که الگوهای موجود پاسخ‌گو آن‌ها نبودند به وجود آمد؛ نیازهایی مانند: توانایی حل تمامی مسائل پیچیده (Complex)، «پنهان‌سازی داده» (Data Hiding)، «قابلیت استفاده مجدد» (Reusability) بیشتر، وابستگی کمتر به توابع، انعطاف بالا و... - -رویکرد برنامه‌نویسی شی‌گرا «از پایین به بالا» (Bottom-Up) است؛ یعنی ابتدا واحدهایی کوچک از برنامه ایجاد می‌شوند و سپس با پیوند این واحدها، واحدهایی بزرگتر و در نهایت شکلی کامل از برنامه به وجود می‌آید. برنامه‌نویسی شی‌گرا در قالب دو مفهوم «**کلاس**» (Class) و «**شی**» (Object) ارایه می‌گردد. هر کلاس واحدی از برنامه است که تعدادی داده و عملیات‌ را در خود نگه‌داری می‌کند و هر شی نیز حالتی (State) مشخص از یک کلاس می‌باشد. - -در برنامه‌نویسی شی‌گرا، هر برنامه در قالب موجودیت‌های کوچکی که در واقع همان اشیا هستند و با یکدیگر تعامل دارند در نظر گرفته می‌شود. برای داشتن این اشیا می‌بایست ابتدا کلاس‌های برنامه را تعریف نماییم؛ هر کلاس «**رفتار**» (Behavior) و «**صفات**» (Attributes) اشیایی که قرار است از آن ایجاد شوند را تعریف می‌کند. از یک کلاس می‌توان هر تعداد که بخواهیم شی ایجاد نماییم. هر شی بیانگر یک «**حالت**» یا یک «**نمونه**» (Instance) از کلاس خود است. - -برای مثال، کارخانه تولید یک مدل خودرو را می‌توانیم به شکل یک کلاس بزرگ در نظر بگیریم. بدیهی است که این کارخانه شامل بخش‌های کوچکتری به مانند: سیستم الکتریکی، سیستم چرخ‌ها، سیستم سوخت، سیستم خنک کننده، موتور و... می‌باشد؛ در این مثال هر یک از این بخش‌ها کلاسی است که باید پیش از کلاس کارخانه ایجاد شود که البته آن‌‌ها هم به جای خود می‌توانند شامل کلاس‌های کوچکتر دیگری باشند. از آنجا که هر کلاس توسط اشیا خود موجودیت می‌یابد؛ می‌بایست درون کلاس کارخانه نمونه‌هایی از این کلاس‌های نام برده ایجاد گردد. قرار گرفتن اشیا در ساختار کلاسی دیگر موجودیت بزرگتری را ایجاد می‌کند. اکنون با ایجاد هر نمونه از کلاس کارخانه، یک شی‌ یا یک موجودیت جدید ایجاد می‌گردد که در درون خود شامل تمامی اشیای این کلاس‌ها می‌باشد. شی حاصل از کلاس کارخانه در این مثال، یک خودرو است. - -به هر شی کلاس، یک نمونه از آن کلاس گفته می‌شود و هر زمان که یک شی از کلاسی ایجاد می‌گردد در واقع یک نمونه از آن ساخته می‌شود. به این عمل در شی‌گرایی «**نمونه‌سازی**» (Instantiation) گفته می‌شود. بر همین اساس دو نوع کلاس در شی‌گرایی وجود دارد: ۱- کلاس‌های عادی که توانایی نمونه‌سازی دارند و به آن‌ها **”Concrete Class“** گفته می‌شود ۲- کلاس‌هایی که توانایی نمونه‌سازی ندارند و به آن‌ها **”Abstract Class“** گفته می‌شود. - -یکی از مفاهیم دیگر در برنامه‌نویسی شی‌گرا، «**کپسوله‌سازی**» (Encapsulation) است. کپسوله‌سازی به معنی قرار دادن عناصر یک ساختار در قالب موجودیتی جدید می‌باشد. در برنامه‌نویسی شی‌گرا با ایجاد هر نمونه از کلاس، عناصر آن (صفات و رفتارها) در قالب یک موجودیت جدید به نام «شی» قرار می‌گیرد. کپسوله‌سازی در شی‌گرایی امکانی است برای پنهان‌سازی داده‌ها؛ در این شرایط اشیا بدون اینکه از درون یکدیگر و چگونگی کارکرد هم کوچکترین آگاهی داشته باشند به تعامل با یکدیگر می‌پردازند. - - -گفتیم هر کلاس از تعدادی داده و عملیات درون خود نگهداری می‌کند و همچنین گفتیم هر کلاس رفتار و صفات اشیایی که قرار است از آن ایجاد شوند را تعریف می‌کند؛ اکنون با ارایه تعریفی کامل‌تر خواهیم گفت که: هر کلاس از دو بخش «اعضای داده» (Data Members) و «توابع عضو» (Member Functions) تشکیل شده است. اعضای داده در واقع همان متغیر‌های درون کلاس هستند که خصوصیات یا صفات شی را بیان می‌کنند و در شی‌گرایی با عنوان «**فیلد**» (Field) یا «**صفت**» (Attribute) از آن‌ها یاد می‌شود. توابع عضو نیز عملیات یا کارهایی هستند که یک شی از کلاس قادر به انجام آن‌ها می‌باشد؛ می‌توان توابع عضو را بیانگر رفتار اشیا کلاس دانست. در شی‌گرایی به این توابع «**متد**» (Method) گفته می‌شود. - -پس از نمونه‌سازی، شی حاوی تمامی اعضای داده و توابع عضوی است که توسط کلاس مربوط به آن تعریف شده است و برای دسترسی به آن‌ها از الگو: «نام شی + نقطه + نام صفت یا متد()» استفاده می‌گردد. همانند:: - - car_object.color - car_object.drive() - -همانطور که در زمان پیاده‌سازی کلاس خواهید دید؛ با ایجاد هر نمونه از کلاس یک متد خاص در آن به صورت خودکار اجرا می‌گردد. این متد «**سازنده**» (Constructor) نام دارد و کار آن «**مقداردهی اولیه**» (Initialization) شی است. این کار موجب اطمینان از مقداردهی تمامی اعضای داده پیش از استفاده شی در برنامه می‌گردد. - - -برای مثال به کلاس خودرو برگردیم و برای آن صفات: رنگ بدنه، ظرفیت باک، بیشینه سرعت و متدهای: راندن، دریافت میزان سوخت، سوخت گیری، تنظیم سرعت، توقف را در نظر بگیریم. اکنون می‌توانیم با تنظیم صفات، نمونه‌ها یا اشیای مورد نظر خود را از این کلاس ایجاد نماییم. برای مثال: دو خودروی آبی با ظرفیت باک ۲۰ لیتر و بیشینه سرعت ۸۰ کیلومتر-ساعت یا یک خودروی صورتی با ظرفیت باک ۴۰ لیتر و بیشینه سرعت ۱۶۰ کیلومتر-ساعت که البته هر سه آن‌ها تمام متدهای کلاس را در خود دارند: - -.. image:: /_static/l05-car-class-sample.jpg - :align: center - -.. image:: /_static/l05-car-class-object-sample.jpg - :align: center - -تا به اینجا با مفاهیم «کلاس»، «صفت»، «متد»، «شی»، «نمونه‌سازی» و «کپسوله‌سازی» آشنا شده‌ایم؛ در ادامه به توضیح سه مفهوم مهم دیگر از برنامه‌نویسی شی‌گرا که عبارتند از: «**وراثت**» (Inheritance)، «**چندریختی**» (Polymorphism) و «**انتزاع**» یا «**تجرید**» (Abstraction) خواهیم پرداخت. - -.. rubric:: وراثت: - -وراثت یکی از شکل‌های «قابلیت استفاده مجدد» کد بوده که برنامه‌نویس را قادر می‌سازد تا با ارث‌بری صفات و متدهای یک یا چند کلاس موجود، کلاس‌های جدیدی را ایجاد نماید. - - -برای نمونه فرض کنیم صاحب کلاس کارخانه خودروسازی مثال پیش، قصد تولید یک مدل خودرو جدید با رویکرد باربری دارد؛ بنابراین می‌بایست کلاسی جدید برای تولید آن تهیه نماید. ولی کلاس جدید علاوه‌بر صفات (ظرفیت بارگیری و..) و متدهای (انجام بارگیری، تخلیه بار و...) خاص خودش به صفات (رنگ بدنه، ظرفیت باک و...) و متدهای (راندن، سوخت گیری، توقف و...) مشابه در کلاس قبل هم نیاز دارد؛ در این حالت نیازی به تعریف مجدد آن‌ها نیست و می‌توان صفات و متدهای کلاس پیش را در کلاس جدید به ارث برد. - -به کلاسی که از آن ارث‌بری می‌شود **”Parent Class“** یا **”Base Class“** (کلاس پایه) یا **”Superclass“** و به کلاسی که اقدام به ارث‌بری می‌کند **”Child Class“** (کلاس فرزند) یا **”Derived Class“** یا **”Subclass“** گفته می‌شود. - -ارث‌بری توسط «نسبت **هست-یک**» (IS-A Relationship) بیان می‌شود؛ این نسبت می‌گوید کلاس فرزند یک نوع از چیزی است که کلاس پایه هست. کلاس A از کلاس B ارث‌بری دارد؛ در این حالت می‌گوییم: A is a type of B، یعنی درست است اگر بگوییم: «سیب» یک نوع «میوه» است یا «خودرو» یک نوع «وسیله نقلیه» است ولی توجه داشته باشید که این یک ارتباط یک‌طرفه از کلاس فرزند به کلاس پایه است و نمی‌توانیم بگوییم: «میوه» یک نوع «سیب» است یا «وسیله نقلیه» یک نوع «خودرو» است. - -کلاس‌ها می‌توانند مستقل باشند ولی هنگامی که وارد رابطه‌های وراثت می‌شوند، یک ساختار سلسله مراتب (Hierarchy) به شکل درخت را تشکیل می‌دهند. برای نمونه به ساختار سلسله مراتب وراثت پایین که مربوط به برخی اشکال هندسی است توجه نمایید، پیکان‌ها نشانگر نسبت is-a هستند. - -.. image:: /_static/l05-Inheritance-Hierarchy-Sample.png - :align: center - -در برنامه‌نویسی شی‌گرا نسبت دیگری نیز با عنوان «نسبت **دارد-یک**» (HAS-A Relationship) وجود دارد که بیانگر مفهومی به نام «**ترکیب**» (Composition) است که شکل دیگری از قابلیت استفاده مجدد کد می‌باشد ولی مفهومی متفاوت با وراثت دارد. این نسبت زمانی بیان می‌شود که درون یک کلاس (مانند: C) از کلاس دیگری (مانند: D) نمونه‌سازی شده باشد؛ یعنی شی کلاس C درون خودش شی‌ای از کلاس D را داشته باشد؛ در این حالت می‌گوییم: C has a D. به یاد دارید خواندیم کلاس خودرو از کلاس‌های کوچکتری ساخته شده است؛ مثلا کلاس موتور - یعنی درون این کلاس یک شی از کلاس موتور ایجاد شده است، اکنون می‌توانیم بگوییم: «خودرو» یک «موتور» دارد. - -.. image:: /_static/l05-has-a-Sample.png - :align: center - -.. rubric:: چندریختی: - -مفهوم چندریختی بیانگر توانایی کلاس فرزند در تعریف متدهایی است که در کلاس پایه موجود می‌باشند. برای نمونه دو کلاس «ماهی» و «گربه» را که هر دو آن‌ها از کلاسی به نام «حیوانات» ارث‌بری دارند را در نظر بگیرید؛ در کلاس حیوانات متدی با عنوان «غذا خوردن» که عملی مشترک در میان تمام حیوانات است وجود دارد ولی از آنجا که چگونگی انجام آن در ماهی و گربه متفاوت است، بنابراین هر دو این کلاس‌ها نیاز دارند تا متد «غذا خوردن» مخصوص خود را داشته باشند - در این جاست که این متد در کلاس‌های فرزند بازتعریف می‌شود، به این عمل **”Method Overriding“** گفته می‌شود. با Override کردن یک متد، متد کلاس پایه زیر سایه متد مشابه در کلاس فرزند قرار می‌گیرد و از نظر اشیا کلاس فرزند پنهان می‌شود. - -.. rubric:: تجرید: - -تجرید در برنامه‌نویسی شی‌گرا به همراه مفهوم چندریختی می‌آید و توسط دو مفهوم «**کلاس‌های مجرد**» (Abstract Classes) و «**متدهای مجرد**» (Abstract Methods) ارایه می‌گردد. - -«کلاس مجرد» کلاسی است که شامل یک یا چند «متد مجرد» باشد و «متد مجرد» متدی است که اعلان (Declare) شده ولی بدنه آن ‌تعریف (Define) نشده است. کلاس‌های مجرد قابلیت نمونه‌سازی ندارند و نمی‌توان از آن‌ها شی ایجاد نمود؛ چرا که هدف از توسعه آن‌ها قرار گرفتن در بالاترین سطح (یا چند سطح بالایی) درخت وراثت، به عنوان کلاس پایه برای ارث‌بری کلاس‌های پایین‌تر می‌باشد. ایده طراحی کلاس مجرد در تعیین یک نقشه توسعه برای کلاس‌های فرزند آن است؛ تعیین صفات و متدهای لازم ولی واگذاردن تعریف متدها بر عهده کلاس‌های فرزند. - -به عنوان نمونه سه کلاس «ماهی»، «گربه» و «کبوتر» را در نظر بگیرید. این کلاس‌ها جدا از رفتارهای خاص خود (مانند: «پرواز کردن» در کبوتر یا «شنا کردن» در ماهی)، در یک سری رفتار به مانند «نفس کشیدن»، «غذا خوردن» و... مشترک هستند. راه درستِ توسعه این کلاس‌ها تعیین یک «کلاس پایه» برای رفتارهای مشترک و ارث‌بری هر سه آن‌ها می‌باشد. ولی از آنجا که هر یک، این رفتارهای مشترک را به گونه‌ای دیگر انجام می‌دهد؛ راه درست‌تر آن است که یک «کلاس مجرد» به عنوان «کلاس پایه» آن‌ها در نظر بگیریم؛ در این حالت هر کدام از کلاس‌ها ضمن دانستن رفتارهای لازم می‌تواند آن‌‌ها را متناسب با خواست خود تعریف نماید. - - -.. note:: - - آنچه در ادامه این درس آورده شده است، چکیده‌ای از پیاده‌سازی برنامه‌نویسی شی گرا در پایتون است. شی گرایی در زبان برنامه نویسی پایتون به صورت کامل از درس هفدهم به بعد شرح داده می‌شود. - - -اشیا در پایتون ----------------- - -علاوه‌بر اینکه پایتون یک زبان برنامه‌نویسی شی‌گراست، ساختار آن نیز بر مبنای شی‌گرایی توسعه یافته است و اینطور بیان می‌شود که **هر چیزی در پایتون یک شی است**. اشیا، انتزاعِ پایتون برای ارایه «انواع داده‌» (Data Types) هستند. به بیان دیگر تمام داده‌های یک برنامه پایتونی یا به صورت مستقیم یک شی است یا از روابط بین اشیا ایجاد می‌گردد. برای نمونه: ``56``، ``"!Hello World"``، توابع و... حتی خود کلاس‌ها نیز توسط یک نوع شی ارایه می‌شوند. - -هر شی در پایتون حاوی یک «**شناسه**» (identity)، یک «**نوع**» (type) و یک «**مقدار**» (value) است. - -* «شناسه» در زمان ایجاد شی به آن اختصاص می‌یابد و غیر قابل تغییر است. تابع ``()id`` شناسه شی را به صورت یک عدد صحیح برمی‌گرداند که این مقدار در CPython بیانگر نشانی (Address) شی در حافظه (Memory) است:: - - - >>> id(5) - 140468674877440 - - >>> num = 0.25 - >>> id(num) - 140468676592120 - - >>> msg = "Hello World!" - >>> id(msg) - 140468675425264 - - -* هر شی در پایتون دارای یک «نوع» یا ”type“ است که عملیات قابل پشتیبانی و نیز مقادیر ممکن برای شی را تعریف می‌کند. نوع هر شی توسط تابع ``()type`` قابل مشاهده است و همانند شناسه غیر قابل تغییر می‌باشد:: - - >>> # python 3.x - >>> type(127) - - - >>> # python 2.x - >>> type(127) - - - .. caution:: - تمام اعداد صحیح (Integers) در پایتون یک شی از نوع ``int`` می‌باشند. [با انواع آماده (Built-in) شی در پایتون توسط دروس آینده آشنا خواهید شد.] - - -* «مقدار» برخی اشیا در پایتون قابل تغییر است که به این دسته از اشیا **”mutable“** (تغییر پذیر) گفته می‌شود؛ ولی مقدار برخی دیگر قابل تغییر نمی‌باشد (مانند اعداد: شی ``127``) که به آن‌ها اشیا **”immutable“** (تغییر ناپذیر) می‌گویند. - - -کلاس‌ها در پایتون ------------------ - -از نسخه 2.2 طراحی کلاس‌ها در پایتون تغییر کرد [`New-style Classes `_] که البته ساختار قدیمی همچنان در نسخه 2x باقی مانده است. [مبنای آموزش در این کتاب طراحی جدید می‌باشد.] - -در ساختار جدید مفهوم ”type“ برابر مفهوم ”class“ طراحی شده است. در این ساختار هر کلاس خود یک شی از کلاسی به نام ”type“ می‌باشد و همچنین تمامی کلاس‌ها از کلاسی به نام ”object“ ارث‌بری دارند:: - - - >>> # Python 3.x - >>> num = 3 - - >>> num.__class__ - - - >>> type(num) - - - >>> type(type(num)) - - - >>> type(num).__class__ - - - >>> type(num).__bases__ - (,) - - -.. caution:: - صفت ``__class__`` نام کلاس یک شی و صفت ``__bases__`` نام کلاس‌های پایه یک کلاس را نمایش می‌دهد. - -تعریف کلاس -~~~~~~~~~~~ -در پایتون برای تعریف کلاس از کلمه کلیدی ``class`` استفاده می‌گردد؛ همانند الگو پایین:: - - class ClassName: - - . - . - . - - -کلمه کلیدی تعریف کلاس - ``class`` - یک دستور اجراپذیر (Executable Statement) است. یک کلاس پیش از اجرای دستور خود هیچ تاثیری در برنامه ندارد. این شرایط سبب می‌شود که حتی بتوان یک کلاس را در میان بدنه دستور شرط (``if``) یا درون بدنه یک تابع تعریف کرد. [در پشت صحنه]: با اجرای دستور تعریف کلاس، یک شی از نوع type در حافظه ایجاد می‌گردد و از نام کلاس برای اشاره به آن شی استفاده می‌شود. - -بعد از کلمه کلیدی ``class`` نام کلاس (به دلخواه کاربر) نوشته می‌شود. سطر نخست تعریف مانند تمام دستورات مرکب (Compound) که به صورت معمول در چند سطر نوشته می‌شوند و سرآیند دارند، به کاراکتر ``:`` ختم می‌شود. از سطر دوم با رعایت یکنواخت تورفتگی دستورات بدنه کلاس نوشته می‌شوند:: - - >>> # Python 3.x - - >>> class MyClassName: - ... pass - ... - >>> - - >>> type(MyClassName) - - - >>> MyClassName.__bases__ - (,) - >>> - -.. caution:: - در مواردی که هنوز نمی‌خواهیم دستورات مربوط به بدنه یک دستور به مانند کلاس را بنویسیم؛ می‌توانیم از دستور ``pass`` استفاده کنیم. با اجرای این دستور هیچ کاری انجام نمی‌شود. - -:: - - >>> # Python 2.x - - >>> class MyClassName(object): - ... pass - ... - >>> - - >>> type(MyClassName) - - - >>> MyClassName.__bases__ - (,) - >>> - -تمامی کلاس‌ها در پایتون 3x به صورت ضمنی از کلاس object ارث‌بری دارند و نیازی به درج آن توسط برنامه‌نویس نیست؛ ولی در نسخه 2x چنانچه قصد داشته‌ باشیم از طراحی جدید کلاس‌ها پیروی کنیم، می‌بایست به صورت صریح از این کلاس ارث‌بری نماییم. - -در بحث ارث‌بری نام کلاس(های) پایه مورد نظر درون پرانتز جلوی نام کلاس نوشته می‌شود. در صورت ارث‌بری از چند کلاس می‌بایست نام آن‌ها را توسط کاما (Comma) از یکدیگر جدا ساخت:: - - >>> # Python 3.x - - >>> class ChildClassName(BaseClassNameOne, BaseClassNameTwo): - ... pass - ... - >>> - - >>> ChildClassName.__bases__ - (, ) - -.. caution:: - همانطور که می‌دانیم،‌ ``__main__`` اشاره به نام ماژول دارد. - - با دقت در نمونه کد بالا متوجه می‌شوید که دیگر از کلاس object در میان کلاس‌های پایه خبری نیست. دلیل این اتفاق در این است که کلاس فرزند (ChildClassName) اکنون در یک سلسله مراتب وراثت قرار گرفته و کلاس‌های پایه او از این کلاس ارث‌بری دارند. - -:: - - >>> # Python 2.x - - >>> class BaseClassNameOne(object): - ... pass - ... - >>> - - >>> class BaseClassNameTwo(object): - ... pass - ... - >>> - - >>> class ChildClassName(BaseClassNameOne, BaseClassNameTwo): - ... pass - ... - >>> - - >>> ChildClassName.__bases__ - (, ) - - -برای دریافت نام تمام کلاس‌های پایه موجود در سلسله مراتب وراثت یک کلاس مشخص می‌توانیم از تابع ``()getmro`` درون ماژول ``inspect`` استفاده نماییم [`اسناد پایتون `__]؛ همانند پایین:: - - >>> # Python 3.x - - >>> import inspect - >>> inspect.getmro(ChildClassName) - (, , , ) - -:: - - >>> # Python 2.x - - >>> import inspect - >>> inspect.getmro(ChildClassName) - (, , , ) - -.. caution:: - خروجی تابع ``()getmro`` مرتب شده است؛ به این صورت که در یک سلسله مراتب از خود کلاس مورد نظر شروع می‌شود و به کلاس object پایان می‌یابد. کلاس‌های پایه هم سطح نیز بر اساس ترتیب نوشتن آن‌ها در کلاس فرزند مرتب می‌شوند. - - - -.. note:: - - آنچه در این درس آورده شده است، چکیده‌ای از پیاده‌سازی برنامه‌نویسی شی گرا در پایتون است. شی گرایی در زبان برنامه نویسی پایتون به صورت کامل از درس هفدهم به بعد شرح داده می‌شود. - - -| - ----- - -:emoji-size:`😊` امیدوارم مفید بوده باشه - -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - - From f83b559229b8c8fbc42755686db08e0843ca0670 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sun, 2 Apr 2023 16:47:14 +0330 Subject: [PATCH 19/74] editd l06 - part1 --- source/index.rst | 2 +- .../{l06.rst => l06-python-syntax.rst} | 178 +++++++++--------- 2 files changed, 86 insertions(+), 94 deletions(-) rename source/lessons/{l06.rst => l06-python-syntax.rst} (82%) diff --git a/source/index.rst b/source/index.rst index 68ddca4..efbe55f 100644 --- a/source/index.rst +++ b/source/index.rst @@ -33,7 +33,7 @@ lessons/l03-create-and-run-a-python-project lessons/l04-python-interactive-mode lessons/l05-object-oriented-programming - lessons/l06 + lessons/l06-python-syntax lessons/l07 lessons/l08 lessons/l09 diff --git a/source/lessons/l06.rst b/source/lessons/l06-python-syntax.rst similarity index 82% rename from source/lessons/l06.rst rename to source/lessons/l06-python-syntax.rst index d49e6ae..a32b8ee 100644 --- a/source/lessons/l06.rst +++ b/source/lessons/l06-python-syntax.rst @@ -1,11 +1,13 @@ .. role:: emoji-size .. meta:: - :description: کتاب آموزش زبان برنامه نویسی پایتون به فارسی، آموزش سینتکس (Syntax) در پایتون، آموزش دستور نحو در زبان برنامه نویسی پایتون - :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, سینتکس, سطر, متغیر, شناسه, ثابت, عملگرها, دستور, کامنت, توضیح, داک استرینگ, مستند سازی, دستور زبان + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس ششم: سینتکس زبان پایتون + :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, سینتکس, سطر, متغیر, شناسه, ثابت, عملگرها, دستور, کامنت, توضیح, داک string, مستند سازی, دستور زبان -درس ۰۶: سینتکس یا دستور نحو زبان پایتون +.. _lesson-06: + +درس ۰۶: سینتکس زبان پایتون ========================================== @@ -16,9 +18,9 @@ Photo by `Tim J `__ -در این درس به معرفی اجزای پایه در برنامه‌نویسی پایتون پرداخته شده و اینکه چه هستند، چه گرامری دارند، چه کاری انجام می‌دهند یا... مورد بررسی قرار گرفته است. همچنین در موارد بسیاری نکته‌هایی از شیوه استاندارد پایتون‌نویسی که توسط سند `PEP 8 `__ به برنامه‌نویسان پایتون پیشنهاد می‌شود نیز آورده شده است؛ رعایت این اصول به یکدستی کدهای جامعه پایتون کمک می‌کند. +در این درس به معرفی اجزای پایه در زبان برنامه‌نویسی پایتون پرداخته شده و اینکه چه هستند، چه گرامری دارند، چه کاری انجام می‌دهند یا... مورد بررسی قرار گرفته است. همچنین در موارد بسیاری نکته‌هایی از شیوه استاندارد پایتون‌نویسی که توسط سند `PEP 8 `__ به برنامه‌نویسان پایتون پیشنهاد می‌شود نیز آورده شده است؛ رعایت این اصول به یکدستی کدهای جامعه پایتون کمک می‌کند. -سینتکس (`Syntax `_ یا دستور نحو) مجموعه‌ای از قواعد است که چگونگی برنامه‌نویسی به یک زبان مشخص را تعریف می‌کند؛ برای نمونه اینکه یک متن چطور نوشته شود که توسط مفسر پایتون به عنوان توضیح در نظر گرفته شود یا یک شی رشته، به رعایت سینتکس تعریف شده در پایتون بستگی دارد و چنانچه مفسر نتواند متن را با هیچ قاعده‌ تعریف شده‌ای مطابقت دهد یک استثنا گزارش خواهد شد. سینتکس پایتون تنها محدود به این درس نیست و موارد بسیار دیگری به مانند چگونگی تعریف اشیا گوناگون را در طی درس‌های آتی مشاهده خواهید کرد. +سینتکس (`Syntax `_) مجموعه‌ای از قواعد است که چگونگی برنامه‌نویسی به یک زبان مشخص را تعریف می‌کند؛ برای نمونه اینکه یک متن چطور نوشته شود که توسط مفسر پایتون به عنوان توضیح در نظر گرفته شود یا یک شی رشته، به رعایت سینتکس تعریف شده در پایتون بستگی دارد و چنانچه مفسر نتواند متن را با هیچ قاعده‌ تعریف شده‌ای مطابقت دهد یک استثنا گزارش خواهد شد. سینتکس پایتون تنها محدود به این درس نیست و موارد بسیار دیگری به مانند چگونگی تعریف اشیا گوناگون را در طی درس‌های آتی مشاهده خواهید کرد. :emoji-size:`✔` سطح: مقدماتی @@ -31,26 +33,28 @@ ---- +.. _python-lines: + سطرها ------ -مفسر پایتون و همچنین کاربر، کدهای درون هر ماژول را در قالب تعدادی سطر می‌بینند؛ سطرهای **فیزیکی** (Physical Lines) و **منطقی** (Logical Lines). سطرهای فیزیکی در واقع همان سطرهایی است که توسط ویرایشگرهای متن شماره‌گذاری می‌شوند و به راحتی توسط کاربر قابل تشخیص هستند ولی سطرهای منطقی برداشت مفسر از اجزای برنامه است؛ هر سطر منطقی بیانگر یک دستور (Statement) پایتون است. برای نمونه دستور ``print`` در نسخه 2x پایتون را در نظر بگیرید: +مفسر پایتون و همچنین کاربر، کدهای درون هر ماژول را در قالب تعدادی سطر می‌بینند؛ سطرهای **فیزیکی** (Physical Lines) و **منطقی** (Logical Lines). سطرهای فیزیکی در واقع همان سطرهایی است که توسط ویرایشگرهای متن شماره‌گذاری می‌شوند و به راحتی توسط کاربر قابل تشخیص هستند ولی سطرهای منطقی برداشت مفسر از اجزای برنامه است؛ هر سطر منطقی بیانگر یک دستور (Statement) پایتون است. برای نمونه دستور انتساب (Assign): .. code-block:: python :linenos: - msg = "Welcome!" - print msg + msg = "Hello World!" + print(msg) -در نمونه کد بالا: سطر یکم، یک دستور انتساب (Assign) را نشان می‌دهد؛ این دستور مقدار سمت راست خودش را به متغیر ``msg`` نسبت می‌دهد. کم و بیش با دستور سطر دوم نیز آشنا هستید این دستور مقدار مربوط به متغیر دریافتی را بر روی خروجی نمایش می‌دهد. در اینجا دو دستور یعنی دو سطر منطقی وجود دارد که هر یک در قالب یک سطر فیزیکی پیاده‌سازی شده است. +در نمونه کد بالا: سطر یکم، یک دستور انتساب (Assign) را نشان می‌دهد؛ این دستور مقدار سمت راست خودش را به متغیر ``msg`` نسبت می‌دهد. کم و بیش با دستور سطر دوم نیز آشنا هستید، این دستور با فراخواندن تابع ``print`` مقدار مربوط به متغیر دریافتی را بر روی خروجی نمایش می‌دهد. در اینجا دو دستور یعنی دو سطر منطقی وجود دارد که هر یک در قالب یک سطر فیزیکی پیاده‌سازی شده است. هر چند که پیشنهاد می‌شود همیشه هر سطر فیزیکی تنها شامل یک سطر منطقی باشد ولی یک سطر فیزیکی را می‌توان شامل چند سطر منطقی نیز در نظر گرفت: .. code-block:: python :linenos: - msg = "Welcome!"; print msg + msg = "Hello World!"; print(msg) در این حالت می‌بایست سطرهای منطقی (یا همان دستور‌ها)، توسط کاراکتر ``;`` (Semicolon) از یکدیگر جدا گردند. @@ -61,7 +65,7 @@ msg = "Python Programming \ Language." # This is a message. - print msg + print(msg) در نمونه کد بالا: دو سطر فیزیکی نخست از دید مفسر به شکل تنها یک سطر منطقی دیده می‌شود. در پایتون برای شکستن یک دستور در چند سطر فیزیکی از کاراکتر ``\`` (Backslash) استفاده می‌گردد. البته توجه داشته باشید که از ``\`` نمی‌توان برای شکستن سطر توضیح (Comment) استفاده کرد و همچنین نمی‌توان پس از آن هیچ توضیحی درج کرد. @@ -90,10 +94,15 @@ print power(2, 3) + +.. _python-documentation: + مستند‌سازی ----------- هر چند اساس طراحی زبان پایتون بر خوانایی بالای کد است ولی «مستندسازی» (Documentation) برنامه یعنی استفاده از امکاناتی همچون ارایه توضیح در کدها می‌تواند به درک و خوانایی هر چه بهتر کدهای برنامه برای مراجعات آینده برنامه‌نویس و افراد دیگری که می‌خواهند بر روی توسعه آن فعال باشند یا از آن استفاده کنند نیز بسیار مفید خواهد بود. در این بخش به بررسی دو امکان درج **Comment** و **Docstring** برای مستند‌سازی برنامه می‌پردازیم. +.. _python-comment: + توضیح ~~~~~~~ یک «**توضیح**» (Comment) در زبان پایتون توسط کاراکتر ``#`` آغاز می‌شود و با پایان سطر فیزیکی هم پایان می‌پذیرد. توضیح‌ها نیز مانند سطرهای خالی توسط مفسر نادیده گرفته شده و به بایت‌کد ترجمه نمی‌شوند. @@ -108,20 +117,22 @@ .. code-block:: python :linenos: - # A comment, this is so you can read your program later. - # Anything after the # is ignored by python. + # This is a comment, it helps you to understand the code later on. + # Anything that comes after the # symbol is ignored by Python. + + print("I could have code like this.") # This comment explains that the following comment will be ignored. - print "I could have code like this." # and the comment after is ignored + # You can also use a comment to temporarily "disable" or comment out a piece of code: + # print ("This won't run.") - # You can also use a comment to "disable" or comment out a piece of code: - # print "This won't run." + print("This will run.") - print "This will run." +.. _python-docstring: Docstring ~~~~~~~~~~ -در کنار «توضیح»؛ **”Docstring“** نیز امکان دیگری در پایتون برای ارایه توضیح بیشتر درباره کدهای برنامه است. متن Docstring توسط سه علامت نقل قول (``"""`` یا ``'''``) شروع و پایان می‌یابد [`PEP 257 `_] و معمولا از آن به عنوان نخستین دستور در ماژول، کلاس، تابع و متد استفاده می‌شود که در این شرایط Docstring توسط مفسر نادیده گرفته **نمی‌شود** و در زمان اجرا نیز با استفاده از صفت ``__doc__`` قابل دستیابی است: +در کنار «توضیح»؛ **”Docstring“** نیز امکان دیگری در پایتون برای ارایه توضیح بیشتر درباره کدهای برنامه است. متن Docstring توسط سه علامت نقل قول (``"""`` یا ``'''``) شروع و پایان می‌یابد [`PEP 257 `_] و معمولا از آن به عنوان نخستین دستور در ماژول، کلاس، تابع و متد استفاده می‌شود. Docstring توسط مفسر نادیده گرفته **نمی‌شود** و در زمان اجرا نیز با استفاده از صفت ``__doc__`` قابل دستیابی است: .. code-block:: python :linenos: @@ -153,10 +164,9 @@ Docstring مخاطب متن «توضیح‌» موجود در کد، کاربرانی می‌باشند که آن کد را توسعه می‌دهند در حالی که مخاطب اصلی Docstring‌ها کاربرانی است که از کد مربوط به آن استفاده می‌کنند بنابراین Docstring باید به توضیح چگونگی استفاده از کد (به صورت خاص: ماژول، تابع، کلاس و متد) بپردازد. -Docstring باید به عنوان دستور نخست درج گردد و این نکته برای یک ماژول در صورت وجود سطرهای اجرای مفسر و تعیین کد‌گذاری به صورت پایین در نظر گرفته می‌شود:: +Docstring باید به عنوان دستور نخست درج گردد و این نکته برای یک ماژول در صورت وجود سطر اجرای مفسر به صورت پایین در نظر گرفته می‌شود:: #!/usr/bin/env python - #-*- coding: utf-8 -*- """ Module docstring. @@ -170,12 +180,13 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. tip:: Docstring‌ها در هر جای دیگری از کدهای برنامه نیز به عنوان جایگزینی برای توضیح‌های چند سطری قابل استفاده هستند که در این حالت مفسر آن‌ها نادیده گرفته و دیگر قابل دستیابی نیستند. +.. _python-indentation: + تورفتگی -------- -**بلاک‌بندی** در زبان پایتون توسط «**تورفتگی**» (Indentation) سطرها مشخص می‌گردد؛ این عمل در زبان‌هایی مانند C توسط آکولاد ``{ }`` انجام می‌شود. تورفتگی در واقع عبارت است از میزان فضای خالی (Spaceها و Tabها) هر دستور از ابتدای سطر فیزیکی خود. نکته مهم این است که تمام دستورهای موجود در یک بلاک می‌بایست به یک میزان فاصله نسبت به سرآیند خود تورفتگی داشته باشند: +**بلاک‌بندی** در زبان پایتون توسط «**تورفتگی**» (Indentation) سطرها مشخص می‌گردد؛ این عمل در زبان‌هایی مانند C و Java توسط آکولاد ``{ }`` انجام می‌شود. تورفتگی در واقع عبارت است از میزان فضای خالی (Spaceها و Tabها) هر دستور از ابتدای سطر فیزیکی خود. نکته مهم این است که تمام دستورهای موجود در یک بلاک می‌بایست به یک میزان فاصله نسبت به سرآیند خود تورفتگی داشته باشند: .. code-block:: c - :linenos: // C @@ -186,7 +197,6 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. code-block:: python - :linenos: # Python @@ -202,7 +212,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. tip:: [`PEP 8 `__]: در ایجاد تورفتگی استفاده از کلید Space نسبت به کلید Tab ترجیح داده می‌شود - برای هر مرتبه تورفتگی از چهار کلید Space استفاده نمایید. -روش رایج ایجاد تورفتگی استفاده از کلید Space است و سعی کنید هرگز به صورت ترکیبی از کلیدهای Sapce و Tab استفاده نکنید هر چند که در نسخه 3x پایتون امکان استفاده ترکیبی از این دو کلید وجود ندارد! اگر مایل به استفاده از کلید Tab هستید باید به صورت یکدست تمام تورفتگی‌های برنامه خود را فقط با استفاده از آن ایجاد نمایید. +روش رایج ایجاد تورفتگی استفاده از کلید Space است و سعی کنید هرگز به صورت ترکیبی از کلیدهای Sapce و Tab استفاده نکنید چرا که از نسخه 3 پایتون امکان استفاده ترکیبی از این دو کلید وجود ندارد! اگر مایل به استفاده از کلید Tab هستید باید به صورت یکدست تمام تورفتگی‌های برنامه خود را فقط با استفاده از آن ایجاد نمایید. اجباری به تورفتگی آن بخشی از دستورها که به سطرهای فیزیکی دیگر شکسته شده‌اند وجود ندارد اما بهتر است برای خوانایی بالاتر، این بخش‌ها را با کمی تورفتگی بیشتر نسبت به دستور‌های بدنه بلاک جاری نوشته شوند: @@ -224,15 +234,16 @@ Docstring باید به عنوان دستور نخست درج گردد و این var_three, var_four) +.. _python-statement: دستور ------- «**دستور**» (Statement) واحدی از کد است که شامل کلمه‌های کلیدی بوده، اجرا می‌گردد و کاری را به انجام می‌رساند. در پایتون دو نوع دستور وجود دارد: -دستورهای ساده (`Simple Statements `_): دستورهایی هستند که تنها در یک سطر منطقی پیاده‌سازی می‌شوند. مانند دستور ``import``، دستور ``pass``، دستور انتساب، فراخوانی تابع و... +دستورهای ساده (`Simple Statements `_): دستورهایی هستند که تنها در یک سطر منطقی پیاده‌سازی می‌شوند. مانند دستور ``import``، دستور انتساب، فراخوانی تابع و... -دستورهای مرکب (`Compound Statements `_): گروهی از دستورها هستند که می‌توانند یک بخشی (مانند: دستور ``def`` - تعریف تابع) یا چند بخشی (مانند: دستور شرط ``if`` / ``elif`` / ``else``) باشند؛ هر بخش (Clause) نیز شامل یک سرآیند (Header) و یک بدنه (Suite) است. هر سرآیند با یک کلمه کلیدی آغاز می‌شود و با یک ``:`` (Colon) نیز پایان می‌پذیرد. بدنه پس از سرآیند و با رعایت سطح تورفتگی بیشتر نسبت به آن نوشته می‌شود: +دستورهای مرکب (`Compound Statements `_): گروهی از دستورها هستند که می‌توانند یک بخشی (مانند: دستور ``def`` - تعریف تابع) یا چند بخشی (مانند: دستور شرط ``if`` / ``elif`` / ``else``) باشند؛ هر بخش (Clause) نیز شامل یک سرآیند (Header) و یک بدنه (Suite) است. هر سرآیند با یک کلمه کلیدی آغاز می‌شود و با یک ``:`` (Colon) نیز پایان می‌پذیرد. بدنه پس از سرآیند و با رعایت سطح تورفتگی بیشتر نسبت به آن نوشته می‌شود: .. code-block:: python :linenos: @@ -250,6 +261,8 @@ Docstring باید به عنوان دستور نخست درج گردد و این return mid return False +.. _python-identifier: + شناسه ------- «**شناسه**» (**Identifier**) نامی است نمادین که به دلخواه کاربر تعیین و از آن برای شناسایی (identify) متغیر‌ها، توابع، کلاس‌ها، ماژول‌ها یا دیگر اشیا پایتون از یکدیگر استفاده می‌شود. انتخاب شناسه در پایتون نکاتی دارد که می‌بایست از سوی کاربر در نظر گرفته شود: @@ -258,7 +271,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این * در ادامه می‌تواند هیچ یا چند حرف الفبا انگلیسی (کوچک و بزرگ)، کاراکتر ``_`` و عدد (``9..0``) - با هر ترتیبی - آورده شود. * هیچ محدودیتی در طول شناسه وجود ندارد و می‌تواند از یک تا هر تعداد کاراکتر باشد. -با یک نگاه حرفه‌ای‌تر، ساختار لغوی (Lexical) شناسه به شکل پایین بیان می‌شود [`اسناد پایتون `__]: +با یک نگاه حرفه‌ای‌تر، ساختار لغوی (Lexical) شناسه به شکل پایین بیان می‌شود [`اسناد پایتون `__]: :: @@ -271,7 +284,8 @@ Docstring باید به عنوان دستور نخست درج گردد و این digit ::= "0"..."9" .. caution:: - در تعاریف `regex `_: از پرانتز ``( )`` برای گروه‌بندی استفاده می‌شود. نماد ``|`` به معنی **یا** می‌باشد و از آن برای جدا‌سازی دو عبارت متفاوت استفاده می‌شود. نماد ``*`` به معنی صفر بار تکرار یا بیشتر می‌باشد. [درسی جداگانه به regex اختصاص خواهد یافت] + در تعاریف `regex `_: از پرانتز ``( )`` برای گروه‌بندی استفاده می‌شود. نماد ``|`` به معنی **یا** می‌باشد و از آن برای جدا‌سازی دو عبارت متفاوت استفاده می‌شود. نماد ``*`` به معنی صفر بار تکرار یا بیشتر می‌باشد. [دروس پانزدهم و شانزدهم به بررسی Regular Expression اختصاص یافته است.] + .. tip:: * استفاده از کاراکترهای خاص به مانند ``.``، ``!``، ``@``، ``#``، ``$``، ``%`` و... مجاز نمی‌باشد. * استفاده از «فاصله» (Space) مجاز نمی‌باشد. @@ -309,10 +323,11 @@ Docstring باید به عنوان دستور نخست درج گردد و این * نام انتخابی برای یک تابع و متد‌ نیز باید تنها شامل حروف کوچک باشد و برای جداسازی کلمه‌ها از ``_`` استفاده شود. مانند: bubble_sort ،binary_search و... البته می‌توان از شیوه camelCase (همانند PascalCase با این تفاوت که حرف نخست کلمه یکم هم می‌بایست حرف کوچک باشد) نیز استفاده نماییم. مانند: bubbleSort ،binarySearch و... - * نام‌ متغیرها تنها باید شامل حروف کوچک باشد که کلمه‌های آن توسط ``_`` از یکدیگر جدا شده‌اند. مانند: body_color ،color و... + * نام‌ متغیرها تنها شامل حروف کوچک باشد که کلمه‌های آن توسط ``_`` از یکدیگر جدا شده‌اند. مانند: body_color ،color و... -برای شناسه‌های تک حرفی توجه داشته باشید که از انتخاب حروف l (اِل کوچک) و I (آی بزرگ) اجتناب کنید زیرا این دو حرف در برخی فونت‌ها شبیه هم هستند و البته همینطور حرف O (اُ بزرگ) که می‌تواند شبیه به صفر باشد. +برای شناسه‌های تک حرفی توجه داشته باشید که از انتخاب حروف l (اِل کوچک) و I (آی بزرگ) بهتر است اجتناب کنید زیرا این دو حرف در برخی فونت‌ها شبیه هم هستند و البته همینطور حرف O (اُ بزرگ) که می‌تواند شبیه به صفر باشد. +.. _python-keywords: کلمه‌های کلیدی ~~~~~~~~~~~~~~~ @@ -320,40 +335,20 @@ Docstring باید به عنوان دستور نخست درج گردد و این :: - >>> # Python 3.x - - >>> help("keywords") - Here is a list of the Python keywords. Enter any keyword to get more help. - - False def if raise - None del import return - True elif in try - and else is while - as except lambda with - assert finally nonlocal yield - break for not - class from or - continue global pass - -:: - - >>> # Python 2.x - >>> help("keywords") - Here is a list of the Python keywords. Enter any keyword to get more help. - - and elif if print - as else import raise - assert except in return - break exec is try - class finally lambda while - continue for not with - def from or yield - del global pass + Here is a list of the Python keywords. Enter any keyword to get more help. -در کتابخانه استاندارد پایتون ماژولی به نام ``keyword`` وجود دارد [`اسناد پایتون `__]:: + False class from or + None continue global pass + True def if raise + and del import return + as elif in try + assert else is while + async except lambda with + await finally nonlocal yield + break for not - >>> # Python 3.x +در کتابخانه استاندارد پایتون ماژولی به نام ``keyword`` وجود دارد [`اسناد پایتون `__]:: >>> import keyword @@ -371,30 +366,23 @@ Docstring باید به عنوان دستور نخست درج گردد و این شاید کنجکاو باشید تعداد کلمه‌های کلیدی پایتون را بدانید؛ برای این منظور نیازی به شمارش دستی نیست!:: - >>> # Python 3.x >>> import keyword >>> len(keyword.kwlist) 33 - >>> # Python 2.x - >>> import keyword - >>> len(keyword.kwlist) - 31 - .. caution:: - تابع ``()len`` تعداد اعضای یک شی را باز می‌گرداند [`اسناد پایتون `__]. + تابع ``()len`` تعداد اعضای یک شی را باز می‌گرداند [`اسناد پایتون `__]. -.. rubric:: برخی نکات: +.. tip:: -* در پایتون 3x: تنها کلمه‌های کلیدی ``True`` ،``False`` و ``None`` با حرف بزرگ آغاز می‌شوند. -* در پایتون 2x: کلمه‌های کلیدی ``True`` ،``False`` و ``None`` تعریف نشده است. -* در پایتون 3x: از آنجا که print به یک تابع تبدیل گشته، کلمه کلیدی ``print`` تعریف نشده است. + تنها کلمه‌های کلیدی ``True`` ،``False`` و ``None`` با حرف بزرگ آغاز می‌شوند. .. tip:: [`PEP 8 `_]: چنانچه می‌خواهید شناسه‌ای مشابه با یکی از کلمه‌های کلیدی انتخاب نمایید؛ می‌توانید این کار را با استفاده از یک ``_`` در انتهای کلمه مورد نظر به انجام برسانید. مانند: ``_def`` +.. _python-variable: متغیر ------- @@ -409,7 +397,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این int b = a; -در نمونه کد بالا: دستور ``;int a = 1`` بیان می‌کند که محلی از حافظه به نام ``a`` برای نگهداری اعداد صحیح (integers) در نظر گرفته شود و مقدار ``1`` در آن قرار بگیرد؛ از این پس متغیر ``a`` معرف این نقطه از حافظه می‌باشد (درست به مانند یک جعبه) که اکنون حاوی مقدار ``1`` است (شکل پایین - یک). در ادامه دستور ``;a = 2`` موجب می‌شود مقدار پیشین متغیر ``a`` حذف (از جعبه خارج) و مقدار جدید یعنی ``2`` در آن قرار داده شود (شکل پایین - دو). توجه داشته باشید که در این دسته زبان‌ها، نوع (type) توسط متغیر تعیین می‌گردد و تلاش برای قرار دادن نوع داده دیگری به غیر از ``int`` در متغیر ``a`` (به مانند ``3.7`` یا ``"string"``) موجب بروز خطا در زمان کامپایل می‌گردد. دستور سوم:‌ ``;int b = a`` در ابتدا موجب ایجاد یک محل جدید در حافظه با نام ``b`` و از نوع همان اعداد صحیح می‌شود و سپس مقدار درون متغیر ``a`` را درون آن کپی می‌کند؛ اکنون دو محل برای نگهداری نوع داده ``int`` در حافظه موجود است که هر دو حاوی مقدار ``2`` می‌باشند (شکل پایین - سه). +در نمونه کد بالا: دستور ``;int a = 1`` بیان می‌کند که محلی از حافظه به نام ``a`` برای نگهداری اعداد صحیح (integers) در نظر گرفته شود و مقدار ``1`` در آن قرار بگیرد؛ از این پس متغیر ``a`` معرف این نقطه از حافظه می‌باشد (درست به مانند یک جعبه) که اکنون حاوی مقدار ``1`` است (شکل پایین - یک). در ادامه دستور ``;a = 2`` باعث می‌شود مقدار پیشین متغیر ``a`` حذف (از جعبه خارج) و مقدار جدید یعنی ``2`` در آن قرار داده شود (شکل پایین - دو). توجه داشته باشید که در این دسته زبان‌ها، نوع (type) توسط متغیر تعیین می‌گردد و تلاش برای قرار دادن نوع داده دیگری به غیر از ``int`` در متغیر ``a`` (به مانند ``3.7`` یا ``"string"``) باعث بروز خطا در زمان کامپایل می‌گردد. دستور سوم:‌ ``;int b = a`` در ابتدا باعث ایجاد یک محل جدید در حافظه با نام ``b`` و از نوع همان اعداد صحیح می‌شود و سپس مقدار درون متغیر ``a`` را درون آن کپی می‌کند؛ اکنون دو محل برای نگهداری نوع داده ``int`` در حافظه موجود است که هر دو حاوی مقدار ``2`` می‌باشند (شکل پایین - سه). .. image:: /_static/l06-c-variable.png @@ -429,21 +417,21 @@ Docstring باید به عنوان دستور نخست درج گردد و این 1. یک شی از نوع اعداد صحیح و مقدار ``1`` را در جایی از حافظه ایجاد می‌کند. چرا اعداد صحیح؟ نوع توسط شی تعیین می‌گردد و ``1`` عددی است صحیح!. #. متغیرِ (یا همان نامِ) ``a`` را در جایی دیگر از حافظه ایجاد می‌کند (البته در صورتی که قبلا ایجاد نشده باشد). -#. یک پیوند از متغیر ``a`` به شی ``1`` برقرار می‌کند. به این پیوند «ارجاع» (Reference) گفته می‌شود که به صورت یک اشاره‌گر (Pointer) در حافظه پیاده‌سازی می‌گردد. +#. یک پیوند از متغیر ``a`` به شی ``1`` برقرار می‌کند. به این پیوند «ارجاع» (Reference) گفته می‌شود . .. image:: /_static/l06-python-variable-01.png :align: center -انتساب شی دیگری (که می‌تواند از هر نوع دیگری باشد) به یک متغیر موجود؛ موجب حذف ارجاع قبلی آن و ارجاع به شی جدید می‌شود. دستور ``a = 2`` موجب ایجاد شی ``2``، حذف ارجاع متغیر ``a`` به شی ``1`` و ایجاد ارجاعی جدید از متغیر ``a`` به شی ``2`` می‌شود. هر متغیر نامی است برای اشاره به یک شی؛ دستور ``b = a`` نیز می‌گوید: یک متغیر جدید با نام ``b`` ایجاد گردد و به همان شی‌ای ارجاع داشته باشد که متغیر ``a`` ارجاع دارد. +انتساب شی دیگری (که می‌تواند از هر نوع دیگری باشد) به یک متغیر موجود؛ باعث حذف ارجاع قبلی آن و ارجاع به شی جدید می‌شود. دستور ``a = 2`` باعث ایجاد شی ``2``، حذف ارجاع متغیر ``a`` به شی ``1`` و ایجاد ارجاعی جدید از متغیر ``a`` به شی ``2`` می‌شود. هر متغیر نامی است برای اشاره به یک شی؛ دستور ``b = a`` نیز می‌گوید: یک متغیر جدید با نام ``b`` ایجاد گردد و به همان شی‌ای ارجاع داشته باشد که متغیر ``a`` ارجاع دارد. ولی اکنون که ارجاعی به شی ``1`` وجود ندارد، با آن چه می‌شود؟ - هر شی شامل یک «**شمارنده ارجاع**» (Reference Counter) نیز هست؛ به این صورت که در هر لحظه تعداد ارجاع‌ها به آن شی را نشان می‌دهد و با هر ارجاع جدید به شی، یک واحد به آن اضافه می‌شود و با حذف هر ارجاع نیز یک واحد کاهش می‌یابد. چنانچه مقدار آن به صفر برسد، شی آن توسط تکنیک ”**Garbage Collection**“ پاک می‌گردد و مقدار حافظه‌ای که توسط شی مصرف شده بود آزاد می‌گردد. برای مشاهده تعداد ارجاع‌ها به یک شی می‌توان از تابع ``()getrefcount`` درون ماژول ``sys`` استفاده کرد [`اسناد پایتون `__]. +هر شی شامل یک «**شمارنده ارجاع**» (Reference Counter) نیز هست؛ به این صورت که در هر لحظه تعداد ارجاع‌ها به آن شی را نشان می‌دهد و با هر ارجاع جدید به شی، یک واحد به آن اضافه می‌شود و با حذف هر ارجاع نیز یک واحد کاهش می‌یابد. چنانچه مقدار آن به صفر برسد، شی آن توسط تکنیک ”**Garbage Collection**“ پاک می‌گردد و مقدار حافظه‌ای که توسط شی مصرف شده بود آزاد می‌گردد. برای مشاهده تعداد ارجاع‌ها به یک شی می‌توان از تابع ``()getrefcount`` درون ماژول ``sys`` استفاده کرد [`اسناد پایتون `__]. - البته مفسر پایتون اعداد صحیح و رشته‌های کوچک را پس از اینکه مقدار شمارنده ارجاع‌ آن‌ها به صفر برسد از حافظه پاک نمی‌کند. هدف از این کار صرفه جویی در هزینه ایجاد این اشیا برای استفاده در آینده است. بنابراین در پاسخ به سوال بالا باید گفت که: شی ``1`` در حافظه باقی می‌ماند. +البته مفسر پایتون اعداد صحیح و رشته‌های کوچک را پس از اینکه مقدار شمارنده ارجاع‌ آن‌ها به صفر برسد از حافظه پاک نمی‌کند. هدف از این کار صرفه جویی در هزینه ایجاد این اشیا برای استفاده در آینده است. بنابراین در پاسخ به سوال بالا باید گفت که: شی ``1`` در حافظه باقی می‌ماند. - :: +:: >>> import sys @@ -462,11 +450,14 @@ Docstring باید به عنوان دستور نخست درج گردد و این 97 - در نمونه کد بالا همانطور که مشاهده می‌نمایید تعداد ارجاع‌ها به شی ``1`` و ``2`` خارج از حد انتظار است که نشان می‌دهد در پشت صحنه اجرای مفسر پایتون نیز ارجاع‌های دیگری به این اشیا وجود دارد. +در نمونه کد بالا همانطور که مشاهده می‌نمایید تعداد ارجاع‌ها به شی ``1`` و ``2`` خارج از حد انتظار است که نشان می‌دهد در پشت صحنه اجرای مفسر پایتون نیز ارجاع‌های دیگری به این اشیا وجود دارد. به کاهش و افزایش تعداد ارجاع‌ها در مثال بالا توجه نمایید. + + +.. _python-multiple-assignment: انتساب چندگانه ~~~~~~~~~~~~~~~~ -امکان ایجاد همزمان چند متغیر یا انتساب‌های چندگانه در پایتون وجود دارد - می‌توان چند متغیر که همگی به یک شی ارجاع دارند را ایجاد کرد:: +امکان ایجاد همزمان چند متغیر یا انتساب‌های چندگانه در پایتون وجود دارد - بنابراین می‌توان چند متغیر که همگی به یک شی ارجاع دارند را تنها با یک دستور ایجاد کرد:: >>> a = b = c = "python" @@ -503,6 +494,8 @@ Docstring باید به عنوان دستور نخست درج گردد و این >>> b 1 +.. _python-constant: + ثابت ~~~~~~ @@ -515,7 +508,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. rubric:: در پایتون امکانی برای تعریف ثابت پیش‌بینی نشده است!. -علاوه بر امکان ایجاد ثابت‌ها برخی موارد دیگر هم هست که در پایتون نادیده گرفته شده است. در واقع فرض پایتون بر این است که کاربران او افراد باهوشی هستند که از پس مشکلات برمی‌آیند؛ در نتیجه می‌گوید: من به کاربرانم اعتماد دارم پس نیازی نیست که تمام کارها را من برای آن‌ها انجام دهم، یک برنامه‌نویس باید بتواند ریسک کند!. +علاوه بر امکان ایجاد ثابت‌ها برخی موارد دیگر نیز در پایتون نادیده گرفته شده است. در واقع فرض پایتون بر این است که کاربران او افراد باهوشی هستند که از پس مشکلات برمی‌آیند؛ در نتیجه می‌گوید: من به کاربرانم اعتماد دارم پس نیازی نیست که تمام کارها را من برای آن‌ها انجام دهم، یک برنامه‌نویس باید بتواند ریسک کند!. ولی برای ایجاد ثابت می‌توانید متغیر‌های مورد نظر خود را در ماژولی جدا تعریف نمایید و در هر جایی که لازم بود با ``import`` آن به متغیرهای مورد نظر خود دسترسی یابید: @@ -523,14 +516,14 @@ Docstring باید به عنوان دستور نخست درج گردد و این :linenos: # File: constant.py - # Path: /home/saeid/Documents/MyModule + # Path: /home/user/Documents/MyModule HOURS = 24 .. code-block:: python >>> import sys - >>> sys.path.append('/home/saeid/Documents/MyModule') + >>> sys.path.append('/home/user/Documents/MyModule') >>> import constant >>> constant.HOURS @@ -542,7 +535,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این :linenos: # File: constant.py - # Path: /home/saeid/Documents/MyModule + # Path: /home/user/Documents/MyModule class _const: @@ -559,7 +552,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. code-block:: python >>> import sys - >>> sys.path.append('/home/saeid/Documents/MyModule') + >>> sys.path.append('/home/user/Documents/MyModule') >>> import constant >>> constant.HOURS = 24 @@ -568,24 +561,25 @@ Docstring باید به عنوان دستور نخست درج گردد و این >>> constant.HOURS = 23 Traceback (most recent call last): File "", line 1, in - File "/home/saeid/Documents/MyModule/constant.py", line 10, in __setattr__ + File "/home/user/Documents/MyModule/constant.py", line 10, in __setattr__ raise self.ConstError("Can't rebind const(%s)" % name) constant.ConstError: Can't rebind const(HOURS) >>> constant.HOURS 24 -درک کد کلاس ``const_`` نیاز مطالعه درس‌های کلاس و استثنا‌ها (Exceptions) دارد. ولی برای توضیحی کوتاه در این درس باید گفت که: +درک کد کلاس ``const_`` نیاز به مطالعه دروس مربوط به شی‌گرایی و استثنا‌ها را دارد (Exceptions) دارد. ولی برای توضیحی کوتاه در این درس باید گفت که: - مفسر پایتون برای اینکه بداند کدام نام به کدام مقدار یا شی ارجاع دارد از ساختاری مشابه ``{... ,name : value}`` که به نوع دیکشنری (Dictionary) معروف است استفاده می‌کند؛ صفت‌های هر شی و مقدار‌ آن‌ها نیز توسط چنین ساختاری نگهداری می‌شود که برای مشاهده این دیکشنری که در واقع همان فهرستی از صفت‌‌‌های هر شی به همراه مقدار آن‌هاست می‌توانید از صفت ویژه ``__dict__`` استفاده نمایید. متد ``__setattr__`` [`اسناد پایتون `__] از متدهای ویژه است - این متدها امکانی هستند تا بتوانیم برای مواقعی خاص، رفتارهای مشخصی را تعریف نماییم - ``__setattr__`` هر زمان که به یکی از صفت‌های شی‌ای از کلاس مقداری نسبت داده شود به صورت خودکار فراخوانی می‌گردد و وظیفه آن ذخیره صفت‌ها و مقدار آن‌ها در این دیکشنری است. + مفسر پایتون برای اینکه بداند کدام نام به کدام مقدار یا شی ارجاع دارد از ساختاری مشابه ``{... ,name : value}`` که به نوع دیکشنری (Dictionary) معروف است استفاده می‌کند؛ صفت‌های هر شی و مقدار‌ آن‌ها نیز توسط چنین ساختاری نگهداری می‌شود که برای مشاهده این دیکشنری که در واقع همان فهرستی از صفت‌‌‌های هر شی به همراه مقدار آن‌هاست می‌توانید از صفت ویژه ``__dict__`` استفاده نمایید. متد ``__setattr__`` [`اسناد پایتون `__] از متدهای ویژه است - این متدها امکانی هستند تا بتوانیم برای مواقعی خاص، رفتارهای مشخصی را تعریف نماییم - ``__setattr__`` هر زمان که به یکی از صفت‌های شی‌ای از کلاس مقداری نسبت داده شود به صورت خودکار فراخوانی می‌گردد و وظیفه آن ذخیره صفت‌ها و مقدار آن‌ها در این دیکشنری است. - در اینجا رفتار متد ``__setattr__`` کمی تغییر داده شده است به این صورت که بررسی می‌شود (سطر 9) چنانچه پیش از این صفت مورد نظر وجود نداشته باشد (یعنی: پیش از این هیچ مقداری به آن انتساب داده نشده است که بخواهد در فهرست باشد؛ تعریف متغیر را به یاد بیاورید) همراه با مقدار به فهرست صفت‌های شی افزوده خواهد شد (سطر 11)؛ در غیر این صورت یک خطا گزارش می‌گردد که موجب توقف اجرای متد شده و در نتیجه از درج جدید در فهرست که موجب تغییر مقدار صفت مورد نظر می‌گردد جلوگیری خواهد شد (سطر 10). + در اینجا رفتار متد ``__setattr__`` کمی تغییر داده شده است به این صورت که بررسی می‌شود (سطر 9) چنانچه پیش از این صفت مورد نظر وجود نداشته باشد (یعنی: پیش از این هیچ مقداری به آن انتساب داده نشده است که بخواهد در فهرست باشد؛ تعریف متغیر را به یاد بیاورید) همراه با مقدار به فهرست صفت‌های شی افزوده خواهد شد (سطر 11)؛ در غیر این صورت یک خطا گزارش می‌گردد که باعث توقف اجرای متد شده و در نتیجه از درج جدید در فهرست که باعث تغییر مقدار صفت مورد نظر می‌گردد جلوگیری خواهد شد (سطر 10). - با ماژول‌ها هم در پایتون به صورت شی برخورد می‌شود، پس مفسر پایتون باید بداند کدام نام ماژول به کدام شی مربوط است؛ ``sys.modules`` یک دیکشنری حاوی تمام ماژول‌هایی است که در این لحظه از اجرای برنامه بارگذاری شده‌اند. ``[__sys.modules[__name`` به عضوی از این دیکشنری که نام آن ``__name__`` است اشاره دارد. می‌دانیم که ``__name__`` بیانگر نام ماژول جاری است؛ بنابراین عبارت ``[__sys.modules[__name`` معرف نامی است که به شی ماژول constant.py ارجاع دارد. دستور سطر 14 موجب می‌شود تا ارجاع این نام به ماژول حذف شود و در عوض به شی‌ای از کلاس ``const_`` نسبت داده شود که این عمل موجب حذف شی ماژول از حافظه می‌گردد (چون که دیگر ارجاعی به آن وجود ندارد). از طرفی می‌دانیم که با ``import`` هر ماژول، تمام محتویان آن اجرا می گردد؛ با ``import`` ماژول constant.py و پس از اجرای کدهای آن به ويژه سطر 14 همانطور که گفته شده ماژول مربوطه حذف می‌شود ولی کدهای آن هنوز در بایت‌کد باقی است. بنابراین پس از ``import`` می‌توان به آسانی از نام ماژول که اکنون ارجاع به شی‌ای از کلاس ``const_`` دارد برای ایجاد صفت‌ها که حکم ثابت‌های ما را دارند استفاده کرد. [تمام این مفاهیم در آینده به صورت کامل بررسی خواهد شد] + با ماژول‌ها هم در پایتون به صورت شی برخورد می‌شود، پس مفسر پایتون باید بداند کدام نام ماژول به کدام شی مربوط است؛ ``sys.modules`` یک دیکشنری حاوی تمام ماژول‌هایی است که در این لحظه از اجرای برنامه بارگذاری شده‌اند. ``[__sys.modules[__name`` به عضوی از این دیکشنری که نام آن ``__name__`` است اشاره دارد. می‌دانیم که ``__name__`` بیانگر نام ماژول جاری است؛ بنابراین عبارت ``[__sys.modules[__name`` معرف نامی است که به شی ماژول constant.py ارجاع دارد. دستور سطر 14 باعث می‌شود تا ارجاع این نام به ماژول حذف شود و در عوض به شی‌ای از کلاس ``const_`` نسبت داده شود که این عمل باعث حذف شی ماژول از حافظه می‌گردد (چون که دیگر ارجاعی به آن وجود ندارد). از طرفی می‌دانیم که با ``import`` هر ماژول، تمام محتویان آن اجرا می گردد؛ با ``import`` ماژول constant.py و پس از اجرای کدهای آن به ويژه سطر 14 همانطور که گفته شده ماژول مربوطه حذف می‌شود ولی کدهای آن هنوز در بایت‌کد باقی است. بنابراین پس از ``import`` می‌توان به آسانی از نام ماژول که اکنون ارجاع به شی‌ای از کلاس ``const_`` دارد برای ایجاد صفت‌ها که حکم ثابت‌های ما را دارند استفاده کرد. [تمام این مفاهیم در آینده به صورت کامل بررسی خواهد شد] .. tip:: [`PEP 8 `_]: برای نام‌گذاری ثابت‌ها (Constants) تنها از حروف بزرگ و برای جداسازی کلمه‌ها نیز از ``ـ`` استفاده شود. مانند: MAX_OVERFLOW ،TOTAL و... +.. _python-operators: عملگر‌ها -------- @@ -608,7 +602,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این >>> 6.0 / 2 >>> 6.0 / 2 3.0 3.0 - همانطور که در نمونه کد بالا مشاهده می‌‌شود؛ در نسخه‌های 3x حاصل هر تقسیمی همواره به صورت عدد اعشاری محاسبه می‌گردد ولی در نسخه‌های 2x حاصل تقسیم دو عدد صحیح به همان صورت عدد صحیح محاسبه و از مقدار اعشار (در صورت وجود) صرف نظر می‌گردد. می‌توان به صورت پایین این ویژگی را به نسخه‌های 2x اضافه کرد [`اسناد پایتون `__]:: + همانطور که در نمونه کد بالا مشاهده می‌‌شود؛ در نسخه‌های 3x حاصل هر تقسیمی همواره به صورت عدد اعشاری محاسبه می‌گردد ولی در نسخه‌های 2x حاصل تقسیم دو عدد صحیح به همان صورت عدد صحیح محاسبه و از مقدار اعشار (در صورت وجود) صرف نظر می‌گردد. می‌توان به صورت پایین این ویژگی را به نسخه‌های 2x اضافه کرد [`اسناد پایتون `__]:: >>> # Python 2.x @@ -910,6 +904,4 @@ Docstring باید به عنوان دستور نخست درج گردد و این :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - From 270b93cf9865a366fceea1ae24e907693f919e92 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 7 Apr 2023 17:42:15 +0330 Subject: [PATCH 20/74] edited l06 --- source/_static/sitemap-index.xml | 20 +-- source/index.rst | 2 +- .../l05-object-oriented-programming.rst | 40 ++++- source/lessons/l06-python-syntax.rst | 153 ++++++++++-------- source/log.rst | 19 ++- source/preface.rst | 4 +- 6 files changed, 149 insertions(+), 89 deletions(-) diff --git a/source/_static/sitemap-index.xml b/source/_static/sitemap-index.xml index ae0e530..0e5e865 100644 --- a/source/_static/sitemap-index.xml +++ b/source/_static/sitemap-index.xml @@ -15,28 +15,28 @@ 0.80 - https://python.coderz.ir/lessons/l01.html - 2021-03-17T17:10:25+00:00 + https://python.coderz.ir/lessons/l01-introduction-to-python.html + 2023-03-17T17:10:25+00:00 0.80 - https://python.coderz.ir/lessons/l02.html - 2021-03-17T17:10:25+00:00 + https://python.coderz.ir/lessons/l02-setup-python.html + 2023-03-17T17:10:25+00:00 0.80 - https://python.coderz.ir/lessons/l03.html - 2021-03-17T17:10:25+00:00 + https://python.coderz.ir/lessons/l03-create-and-run-a-python-project.html + 2023-03-17T17:10:25+00:00 0.80 - https://python.coderz.ir/lessons/l04.html - 2021-03-17T17:10:25+00:00 + https://python.coderz.ir/lessons/l04-python-interactive-mode.html + 2023-03-17T17:10:25+00:00 0.80 - https://python.coderz.ir/lessons/l05.html - 2021-03-17T17:10:25+00:00 + https://python.coderz.ir/lessons/l05-object-oriented-programming.html + 2023-03-17T17:10:25+00:00 0.80 diff --git a/source/index.rst b/source/index.rst index efbe55f..fec8fa4 100644 --- a/source/index.rst +++ b/source/index.rst @@ -67,7 +67,7 @@ :scale: 60 % :alt: بروز شده با نسخه 3.11 -**شروع:** فروردین ۱۳۹۴ **و** **آخرین بروزرسانی:** آذر ۱۴۰۰ [`گزارش توسعه `__] - **بروز شده با نسخه ۳.۱۱ پایتون** +**شروع:** فروردین ۱۳۹۴ **و** **آخرین بروزرسانی:** فروردین ۱۴۰۲ [`گزارش توسعه `__] - **در حال بروزرسانی با نسخه ۳.۱۱ پایتون** diff --git a/source/lessons/l05-object-oriented-programming.rst b/source/lessons/l05-object-oriented-programming.rst index 0082b31..30b9cb5 100644 --- a/source/lessons/l05-object-oriented-programming.rst +++ b/source/lessons/l05-object-oriented-programming.rst @@ -51,7 +51,11 @@ تا به اینجا با مفاهیم «کلاس»، «صفت»، «متد» و «شی» آشنا شده‌ایم؛ در ادامه به توضیح مفاهیم اصلی از برنامه‌نویسی شی‌گرا خواهیم پرداخت. -.. rubric:: نمونه‌سازی: + +.. _python-oop-instantiation: + +نمونه‌سازی +~~~~~~~~~~~~~~~~~~~ به هر شی از یک کلاس، یک نمونه (Instance) از آن کلاس گفته می‌شود و به عمل ایجاد شی از کلاس در شی‌گرایی «**نمونه‌سازی**» (Instantiation) گفته می‌شود. در این مفهموم، هدف نهایی از تعریف کلاس‌ها در برنامه، تنها تولید شی نیست. گاهی نیز وجود یک کلاس تنها برای درج تعاریف مشترک بین چند کلاس دیگر کاربرد پیدا می‌کند. بر همین اساس دو نوع کلاس در شی‌گرایی وجود دارد: ۱- کلاس‌های عادی که توانایی نمونه‌سازی دارند و به آن‌ها **”Concrete Class“** گفته می‌شود ۲- کلاس‌هایی که توانایی نمونه‌سازی ندارند و به آن‌ها **”Abstract Class“** گفته می‌شود. @@ -66,13 +70,23 @@ .. image:: /_static/l05-car-class-object-sample.jpg :align: center -.. rubric:: کپسوله‌سازی: + +.. _python-oop-encapsulation: + +کپسوله‌سازی +~~~~~~~~~~~~~~~~~~~ + یک مفهوم دیگر در برنامه‌نویسی شی‌گرا، «**کپسوله‌سازی**» (Encapsulation) است. کپسوله‌سازی به معنی پنهان‌سازی داده‌ها یا عملیات‌های درون یک شی است که با محدودسازی دسترسی به آن‌ها به دست می‌آید. در این شرایط اشیا باید بدون آگاهی از ساختار درونی و چگونگی انجام عملیات یکدیگر به تعامل بپردازند. این امر از پیچیدگی برنامه جلوگیری و تغییر را ساده‌تر می‌کند. -.. rubric:: وراثت: -وراثت یکی از شکل‌های «قابلیت استفاده مجدد» کد بوده که برنامه‌نویس را قادر می‌سازد تا با ارث‌بری صفات و متدهای یک یا چند کلاس موجود، کلاس‌های جدیدی را ایجاد نماید. +.. _python-oop-inheritance: + +وراثت +~~~~~~~~~~~~~~~~~~~ + + +وراثت (Inheritance) یکی از شکل‌های «قابلیت استفاده مجدد» کد بوده که برنامه‌نویس را قادر می‌سازد تا با ارث‌بری صفات و متدهای یک یا چند کلاس موجود، کلاس‌های جدیدی را ایجاد نماید. برای نمونه فرض کنیم طراح کلاس خودروی پیش، قصد طراحی یک مدل خودرو جدید با رویکرد باربری دارد؛ بنابراین می‌بایست کلاسی جدید برای تولید آن تهیه نماید. ولی کلاس جدید علاوه‌بر صفات (ظرفیت بارگیری و..) و متدهای (انجام بارگیری، تخلیه بار و...) خاص خودش به صفات (رنگ بدنه، ظرفیت باک و...) و متدهای (راندن، سوخت گیری، توقف و...) مشابه در کلاس قبل هم نیاز دارد؛ در این حالت نیازی به تعریف مجدد آن‌ها نیست و می‌توان صفات و متدهای کلاس پیش را در کلاس جدید به ارث برد یا یک Abstract Class برای درج تعاریف مشترک هر دو کلاس ایجاد کرد که این دو مدل خورد می‌توانند آن را به ارث ببرند. @@ -86,18 +100,30 @@ .. image:: /_static/l05-Inheritance-Hierarchy-Sample.png :align: center -.. rubric:: ترکیب: + +.. _python-oop-composition: + +ترکیب +~~~~~~~~~~~~~~~~~~~ + در برنامه‌نویسی شی‌گرا نسبت دیگری نیز با عنوان «نسبت **دارد-یک**» (HAS-A Relationship) وجود دارد که بیانگر مفهومی به نام «**ترکیب**» (Composition) است که شکل دیگری از قابلیت استفاده مجدد کد می‌باشد ولی مفهومی متفاوت با وراثت دارد. این نسبت زمانی بیان می‌شود که درون یک کلاس (مانند: C) از کلاس دیگری (مانند: D) نمونه‌سازی شده باشد؛ یعنی شی کلاس C درون خودش شی‌ای از کلاس D را داشته باشد؛ در این حالت می‌گوییم: C has a D. به یاد دارید خواندیم کلاس کارخانه خودروسازی با هماهنگ کردن اشیای واحدهای کوچکتر، عملیات خود را تعریف می‌کند. مثلا کلاس موتور - یعنی درون این کلاس یک شی از کلاس موتور ایجاد شده است، اکنون می‌توانیم بگوییم: «خودرو» یک «موتور» دارد. .. image:: /_static/l05-has-a-Sample.png :align: center -.. rubric:: چندریختی: + +.. _python-oop-polymorphism: + +چندریختی +~~~~~~~~~~~~~~~~~~~ مفهوم چندریختی (Polymorphism) بیانگر توانایی کلاس فرزند در بازتعریف متدهایی است که در کلاس پایه موجود می‌باشند. برای نمونه دو کلاس «ماهی» و «گربه» را که هر دو آن‌ها از کلاسی به نام «حیوان» ارث‌بری دارند را در نظر بگیرید؛ در کلاس حیوان متدی با عنوان «غذا خوردن» که عملی مشترک در میان تمام حیوانات است وجود دارد ولی از آنجا که چگونگی انجام آن در ماهی و گربه متفاوت است، بنابراین هر دو این کلاس‌ها نیاز دارند تا متد «غذا خوردن» مخصوص خود را داشته باشند - در این جاست که این متد در کلاس‌های فرزند بازتعریف می‌شود، به این عمل **”Method Overriding“** گفته می‌شود. با Override کردن یک متد، متد کلاس پایه زیر سایه متد مشابه در کلاس فرزند قرار می‌گیرد و از نظر اشیا کلاس فرزند پنهان می‌شود. -.. rubric:: تجرید: +.. _python-oop-abstraction: + +تجرید +~~~~~~~~~~~~~~~~~~~ تجرید (Abstraction) در برنامه‌نویسی شی‌گرا به همراه چندریختی می‌آید و توسط دو مفهوم «**کلاس‌های مجرد**» (Abstract Classes) و «**متدهای مجرد**» (Abstract Methods) ارایه می‌گردد. diff --git a/source/lessons/l06-python-syntax.rst b/source/lessons/l06-python-syntax.rst index a32b8ee..66552e9 100644 --- a/source/lessons/l06-python-syntax.rst +++ b/source/lessons/l06-python-syntax.rst @@ -265,6 +265,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این شناسه ------- + «**شناسه**» (**Identifier**) نامی است نمادین که به دلخواه کاربر تعیین و از آن برای شناسایی (identify) متغیر‌ها، توابع، کلاس‌ها، ماژول‌ها یا دیگر اشیا پایتون از یکدیگر استفاده می‌شود. انتخاب شناسه در پایتون نکاتی دارد که می‌بایست از سوی کاربر در نظر گرفته شود: * تنها با یکی از حروف بزرگ یا کوچک الفبا انگلیسی (``A..Z`` یا ``a..z``) یا کاراکتر ``_`` (Underscore) شروع شود. @@ -585,7 +586,13 @@ Docstring باید به عنوان دستور نخست درج گردد و این -------- «**عملگر**» (Operator) به نمادی گفته می‌شود که عمل مشخصی را بر روی اشیا به انجام می‌رساند؛ به مانند عملگر انتساب ``=`` که پیش از این بررسی شد. همچنین به اشیایی که عملگر‌ بر روی آن‌ها عملی را به انجام می‌رساند «**عملوند**» (Operand) گفته می‌شود. عملگرها دارای انواع مختلفی هستند که در ادامه بررسی خواهیم کرد. -.. rubric:: ۱. عملگرهای حسابی (Arithmetic Operators): ``+`` ``-`` ``*`` ``**`` ``/`` ``//`` ``%`` + +.. _python-arithmetic-operators: + +عملگرهای حسابی (Arithmetic Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +``+`` ``-`` ``*`` ``**`` ``/`` ``//`` ``%`` * ``+`` جمع (Addition): مقدار عملوندهای دو طرف خود را با یکدیگر جمع می‌کند. ``2 + 1`` حاصل: 3 * ``-`` تفریق (Subtraction): مقدار عملوند سمت راست را از مقدار عملوند سمت چپ خود منها می‌کند: ``4 - 7`` حاصل: 3 @@ -593,52 +600,47 @@ Docstring باید به عنوان دستور نخست درج گردد و این * ``**`` توان (Exponent): مقدار عملوند سمت چپ را به توان مقدار عملوند سمت راست خود می‌رساند. ``3 ** 2`` حاصل: 8 * ``/`` تقسیم (Division): مقدار عملوند سمت چپ را بر مقدار عملوند سمت راست خود تقسیم می‌کند و خارج قسمت را برمی‌گرداند:: - >>> # Python 3.x >>> # Python 2.x - - >>> 7 / 3 >>> 7 / 3 - 2.3333333333333335 2 - >>> 12 / 3 >>> 12 / 3 - 4.0 4 - >>> 6.0 / 2 >>> 6.0 / 2 - 3.0 3.0 - - همانطور که در نمونه کد بالا مشاهده می‌‌شود؛ در نسخه‌های 3x حاصل هر تقسیمی همواره به صورت عدد اعشاری محاسبه می‌گردد ولی در نسخه‌های 2x حاصل تقسیم دو عدد صحیح به همان صورت عدد صحیح محاسبه و از مقدار اعشار (در صورت وجود) صرف نظر می‌گردد. می‌توان به صورت پایین این ویژگی را به نسخه‌های 2x اضافه کرد [`اسناد پایتون `__]:: - - - >>> # Python 2.x - >>> from __future__ import division - >>> 7 / 3 - 2.3333333333333335 - >>> 12 / 3 - 4.0 + >>> 7 / 3 + 2.3333333333333335 + >>> 12 / 3 + 4.0 + >>> 6.0 / 2 + 3.0 * ``//`` تقسیم گردشده پایین (Floor Division): مقدار عملوند سمت چپ را بر مقدار عملوند سمت راست خود تقسیم می‌کند و خارج قسمت را با حذف مقدار اعشاری (در صورت وجود) برمی‌گرداند. حاصل این عملگر برای اعداد صحیح به صورت یک عدد صحیح محاسبه می‌گردد، به نتایج نمونه کد پایین توجه نمایید:: - >>> # Python 3.x >>> # Python 2.x - - >>> 7 // 3 >>> 7 // 3 - 2 2 - >>> 12 // 3 >>> 12 // 3 - 4 4 - >>> 6.0 // 2 >>> 6.0 // 2 - 3.0 3.0 - >>> 7.0 // 3 >>> 7.0 // 3 - 2.0 2.0 + >>> 7 // 3 + 2 + >>> 12 // 3 + 4 + >>> 6.0 // 2 + 3.0 + >>> 7.0 // 3 + 2.0 * ``%`` باقی‌ مانده (Modulus): مقدار عملوند سمت چپ را بر مقدار عملوند سمت راست خود تقسیم می‌کند و باقی‌ مانده را برمی‌گرداند. ``3 % 7`` حاصل: 1 -.. rubric:: ۲. عملگرهای مقایسه‌ (Comparison Operators): ``==`` ``=!`` ``<>`` ``<`` ``>`` ``=<`` ``=>`` + +.. _python-comparison-operators: + +عملگرهای مقایسه‌ (Comparison Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +``==`` ``=!`` ``<>`` ``<`` ``>`` ``=<`` ``=>`` * ``==`` برابر (Equal): چنانچه مقدار عملوندهای دو طرف برابر باشند، ``True`` را برمی‌گرداند. ``1 == 3`` : False * ``=!`` نابرابر (Not Equal): چنانچه مقدار عملوندهای دو طرف برابر نباشند، ``True`` را برمی‌گرداند. ``1 =! 3`` : True -* ``<>`` نابرابر (Not Equal): عملکرد آن همانند ``=!`` است ولی فقط در نسخه 2x پایتون قابل استفاده است. ``1 <> 3`` : True * ``<`` بزرگتر از (Greater Than): چنانچه مقدار عملوند سمت چپ بزرگتر از مقدار عملوند سمت راست آن باشد، ``True`` را برمی‌گرداند. ``5 < 3`` : False * ``>`` کوچکتر از (Less Than): چنانچه مقدار عملوند سمت چپ کوچکتر از مقدار عملوند سمت راست آن باشد، ``True`` را برمی‌گرداند. ``5 > 3`` : True * ``=<`` برابر یا بزرگتر از (Greater Than or Equal): چنانچه مقدار عملوند سمت چپ برابر یا بزرگتر از مقدار عملوند سمت راست آن باشد، ``True`` را برمی‌گرداند. ``5 =< 7`` : True * ``=>`` برابر یا کوچکتر از (Less Than or Equal): چنانچه مقدار عملوند سمت چپ برابر یا کوچکتر از مقدار عملوند سمت راست آن باشد، ``True`` را برمی‌گرداند. ``5 => 7`` : False -.. rubric:: ۳. عملگرهای انتساب (Assignment Operators): + +.. _python-assignment-operators: + +عملگرهای انتساب (Assignment Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * ``=`` عملوند سمت راست را به عملوند سمت چپ خود نسبت می‌دهد. چنانچه یک عبارت محاسباتی در سمت راست باشد، حاصل آن را به عملوند سمت چپ نسبت می‌دهد:: @@ -676,12 +678,17 @@ Docstring باید به عنوان دستور نخست درج گردد و این :: - >>> # Python 3.x >>> # Python 2.x - >>> a /= b >>> a /= b - >>> a >>> a - 1.5 1 + >>> a /= b + >>> a + 1.5 + + +.. _python-bitwise-operators: + +عملگرهای بیتی (Bitwise Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -.. rubric:: ۴. عملگرهای بیتی (Bitwise Operators): ``&`` ``|`` ``^`` ``~`` ``>>`` ``<<`` +``&`` ``|`` ``^`` ``~`` ``>>`` ``<<`` این دسته از عملگرها، عمل مشخصی را بر روی تک تک بیت‌های عملوند‌(ها) انجام می‌دهند. در پایتون برای استفاده از این عملگرها لزومی به تبدیل اعداد به پایه دو (دودویی یا باینری Binary) وجود ندارد ولی در اینجا برای مشاهده بهتر عملکرد آن‌ها از اعداد دودویی استفاده کرده‌ایم. در زبان پایتون اعداد پایه دو همواره می‌بایست با یک ``0b`` شروع شوند:: @@ -732,7 +739,7 @@ Docstring باید به عنوان دستور نخست درج گردد و این -4 (NOT) ----------- 1111 1100 - یک شیوه برای نمایش اعداد علامت دار دودویی، همین عمل یعنی برعکس کردن بیت‌ها (0 به 1 و 1 به 0) است که به آن نمایش «مکمل یک» (`One's Complement `_) اعداد دودویی گفته می‌شود. ولی مفسر پایتون به صورت پیش‌فرض اعداد علامت دار را به شیوه رایج‌تر دیگری ارزیابی می‌کند که به نام نمایش «مکمل دو» (`Two's Complement `_) شناخته می‌شود؛ در این روش پس از برعکس شدن بیت‌ها، حاصل با عدد ``1`` جمع می‌شود. بنابراین در نمونه کد بالا حاصل ``NOT`` عدد ``a`` برابر ``11111100`` می‌شود که نمایش عدد ``4 -`` در پایه دو به شیوه مکمل دو است:: + یک شیوه برای نمایش اعداد علامت دار دودویی، همین عمل یعنی برعکس کردن بیت‌ها (0 به 1 و 1 به 0) است که به آن نمایش «مکمل یک» (`One's Complement `_) اعداد دودویی گفته می‌شود. ولی مفسر پایتون به صورت پیش‌فرض اعداد علامت دار را به شیوه رایج دیگری ارزیابی می‌کند که به نام نمایش «مکمل دو» (`Two's Complement `_) شناخته می‌شود؛ در این روش پس از برعکس شدن بیت‌ها، حاصل با عدد ``1`` جمع می‌شود. بنابراین در نمونه کد بالا حاصل ``NOT`` عدد ``a`` برابر ``11111100`` می‌شود که نمایش عدد ``4 -`` در پایه دو به شیوه مکمل دو است:: n = 3 0000 0011 @@ -775,8 +782,10 @@ Docstring باید به عنوان دستور نخست درج گردد و این * ``=&`` ``=|`` ``=^`` ``=>>`` ``=<<`` عملگرهای ترکیبی (انتساب بیتی): این عملگرها ابتدا عمل مربوط به عملگر بیتی را بر روی عملوندهای دو طرف خود به انجام می‌رسانند و سپس حاصل را به عملوند سمت چپ نسبت می‌دهند. +.. _python-logical-operators: -.. rubric:: ۵. عملگرهای منطقی (Logical Operators): +عملگرهای منطقی (Logical Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ این عملگرها عبارتند از ``not`` ``or`` ``and`` که در دستورات شرطی کاربرد دارند. عملگرهای منطقی عملوند‌های خود را بر اساس ارزش‌‌های ``True`` (درست) و ``False`` (نادرست) مورد ارزیابی قرار می‌دهند و نتایج خود را بر اساس جدول پایین برمی‌گردانند. عملگر ``not`` تک عملوندی است. @@ -797,7 +806,12 @@ Docstring باید به عنوان دستور نخست درج گردد و این عملگر ``and`` تنها زمانی که هر دو عملوند آن ارزش True داشته باشند، ``True`` را بر می‌گرداند. عملگر ``or`` تنها زمانی که هر دو عملوند آن ارزش False داشته باشند، ``False`` را برمی‌گرداند. عملگر ``not`` نیز ارزش عملود خود را برعکس می‌کند (True به False و False به True). -.. rubric:: ۶. عملگرهای عضویت (Membership Operators): + + +.. _python-membership-operators: + +عملگرهای عضویت (Membership Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ شامل دو عملگر ``in`` و ``not in`` می‌باشد که از آن‌ها برای بررسی وجود یک مقدار در میان اعضای یک دنباله (sequence مانند: رشته، لیست و...) استفاده می‌شود. @@ -816,7 +830,11 @@ Docstring باید به عنوان دستور نخست درج گردد و این False -.. rubric:: ۷. عملگرهای هویت (Identity Operators): + +.. _python-identity-operators: + +عملگرهای هویت (Identity Operators) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ شامل دو عملگر ``is`` و ``is not`` است که از آن‌ها برای بررسی یکی بودن دو شی استفاده می‌شود. @@ -831,9 +849,35 @@ Docstring باید به عنوان دستور نخست درج گردد و این True -.. rubric:: اولویت‌ها +.. _python-walrus-operator: + +عملگر‌ شیرماهی (Walrus Operator) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +از نسخه **3.8 پایتون** یک عملگر جدید به نام Assignment Expressions یا Walrus Operator به سینتکس پایتون اضافه شده است. [`PEP 572 `__]. نمایش این عملگر به شکل ``=:`` (شبیه دو چشم و عاج یک شیرماهی! [`تصویر `__]) می‌باشد و به ما این امکان را می‌دهد که عملیات انتساب و بازگرداندن مقدار را به صورت همزمان به انجام برسانیم. به نمونه کد زیر توجه نمایید:: + + >>> walrus = False + >>> print(walrus) + False -چنانچه عبارتی شامل چندین عملگر باشد؛ اینکه ابتدا عمل کدامیک بررسی شود، در حاصل نتیجه تاثیر‌گذار خواهد بود. هر کدام از عملگرها اولویتی دارند که می‌بایست بر اساس آن به ترتیب بررسی شوند. در بخش پایین به بررسی اولویت عملگرها خواهیم پرداخت - اولویت از بالا به پایین کاهش میابد: +:: + + >>> print(walrus := True) # Python >= 3.8 + True + + >>> walrus + True + +دو نمونه کد بالا عملکرد یکسانی دارند با این تفاوت که در نمونه دوم تنها با استفاده یک سطر کد، متغیر ``walrus`` با انتساب مقدار ``True`` ایجاد و سپس به تابع ``print`` ارسال می‌گردد. + + + +.. _python-operator-precedence: + +ترتیب اجرای عملگرها (Operator Precedence) +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +چنانچه عبارتی شامل چندین عملگر باشد؛ اینکه ابتدا عمل کدامیک بررسی شود، در حاصل نتیجه تاثیر‌گذار خواهد بود. هر کدام از عملگرها از دید مفسر پایتون دارای حق تقدم متفاوتی است (مانند دیگر زبان‌های برنامه‌نویسی). بنابراین همواره هنگام درج یک عبارت، می‌بایست به میزان تقدم آن‌ها نیز توجه کرد. در بخش پایین به بررسی اولویت عملگرها خواهیم پرداخت - اولویت از بالا به پایین کاهش میابد: .. code-block:: python :linenos: @@ -856,8 +900,6 @@ Docstring باید به عنوان دستور نخست درج گردد و این پرانتز بالاترین اولویت را دارد به این معنی که هر عبارتی داخل آن قرار بگیرد اولویت بیشتری برای بررسی خواهد داشت؛ در پرانتزهای تودرتو نیز اولویت داخلی‌ترین پرانتز از همه بیشتر است. چنانچه عبارتی شامل چند عملگر هم سطح باشد؛ اولویت عملگر ‌سمت چپ‌تر بیشتر است. به عبارت‌های پایین و حاصل آن‌ها توجه نمایید:: - - >>> # Python 3.x >>> 4 + 2 - 3 + 2 * 5 13 @@ -876,27 +918,6 @@ Docstring باید به عنوان دستور نخست درج گردد و این -عملگر‌ شیرماهی (Walrus Operator) ------------------------------------------------------------- - -از نسخه **3.8 پایتون** یک عملگر جدید به نام Assignment Expressions یا Walrus Operator به سینتکس پایتون اضافه شده است. [`PEP 572 `__]. نمایش این عملگر به شکل ``=:`` (شبیه دو چشم و عاج یک شیرماهی! [`تصویر `__]) می‌باشد و به ما این امکان را می‌دهد که عملیات انتساب و بازگرداندن مقدار را به صورت همزمان به انجام برسانیم. به نمونه کد زیر توجه نمایید:: - - >>> walrus = False - >>> print(walrus) - False - -:: - - >>> print(walrus := True) # Python >= 3.8 - True - - >>> walrus - True - -دو نمونه کد بالا عملکرد یکسانی دارند با این تفاوت که در نمونه دوم تنها با استفاده یک سطر کد، متغیر ``walrus`` با انتساب مقدار ``True`` ایجاد و سپس به تابع ``print`` ارسال می‌گردد. - - - | diff --git a/source/log.rst b/source/log.rst index 1101e28..922ca3b 100644 --- a/source/log.rst +++ b/source/log.rst @@ -2,15 +2,30 @@ .. meta:: - :description: کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون به فارسی - صفحه گزارش توسعه - :keywords: پایتون, آموزش, آموزش برنامه نویسی, آموزش پایتون, برنامه نویسی, کتاب آموزش, آموزش فارسی, کتاب آزاد + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - گزارش توسعه + :keywords: معرفی پایتون, تاریخچه پایتون, کارایی پایتون, نسخه های پایتون, ویژگی های پایتون, آشنایی با پایتون, آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون +.. _reports: + گزارش توسعه ============= +.. raw:: html + +

      00128 - جمعه ۱۸ فروردین ۱۴۰۲

      + +* آغاز بروزرسانی کتاب بر مبنای پایتون 3.11 +* دروس یکم تا ششم بروزرسانی گردید. +* با توجه به بایگانی شدن نسخه‌های شاخه 2x زبان برنامه‌نویسی پایتون، بخش‌های مرتبط با این نسخه، از کتاب حذف خواهند شد. + + +---- + + + .. raw:: html

      00127 - پنج‌شنبه ۱۱ آذر ۱۴۰۰

      diff --git a/source/preface.rst b/source/preface.rst index d3d0b48..9189683 100644 --- a/source/preface.rst +++ b/source/preface.rst @@ -15,12 +15,10 @@ ---- -از جامعه کابران پایتون در سراسر جهان و از تمام افرادی که به گونه‌ای مشوق من در ادامه این کتاب بوده‌اند سپاسگذارم. از بلاگ کدرز و همینطور دوست عزیزم سجاد شکری که همیشه مشوق و راهنمای من بوده به صورت ویژه سپاسگذارم. +از جامعه پایتون و همه افرادی که در ایجاد این کتاب من را تشویق کردند، سپاسگزاری می‌کنم. به ویژه از وبلاگ کدرز و دوست عزیزم سجاد شکری که همواره در این مسیر، برای من الهام بخش و راهنما بوده است، قدردانی می‌کنم. | -با نهایت احترام، تقدیم به دختران سرزمینم - ایران ✌️ - `سعید درویش `__ From ec6d9e8b79fc80c217aeee9c5a5a2b06e9d0eb3c Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 7 Apr 2023 17:50:34 +0330 Subject: [PATCH 21/74] edited preface --- source/preface.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/preface.rst b/source/preface.rst index 9189683..0d5ab18 100644 --- a/source/preface.rst +++ b/source/preface.rst @@ -15,7 +15,7 @@ ---- -از جامعه پایتون و همه افرادی که در ایجاد این کتاب من را تشویق کردند، سپاسگزاری می‌کنم. به ویژه از وبلاگ کدرز و دوست عزیزم سجاد شکری که همواره در این مسیر، برای من الهام بخش و راهنما بوده است، قدردانی می‌کنم. +از جامعه پایتون و همه افرادی که در ایجاد این کتاب من را تشویق کردند، سپاسگزاری می‌کنم. به ویژه از وبلاگ کدرز و دوست عزیزم سجاد شکری که همواره در این مسیر، برای من الهام بخش و راهنما بوده است. | From f562913e3e4706dfac76d892f630f58d27779588 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 7 Apr 2023 18:04:50 +0330 Subject: [PATCH 22/74] edited sitemap --- source/_static/sitemap-index.xml | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/source/_static/sitemap-index.xml b/source/_static/sitemap-index.xml index 0e5e865..e8e2ea0 100644 --- a/source/_static/sitemap-index.xml +++ b/source/_static/sitemap-index.xml @@ -14,6 +14,11 @@ 2021-03-17T17:10:24+00:00 0.80 + + https://python.coderz.ir/lessons/l01.html + 2021-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l01-introduction-to-python.html 2023-03-17T17:10:25+00:00 @@ -24,21 +29,46 @@ 2023-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l02.html + 2021-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l03-create-and-run-a-python-project.html 2023-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l03.html + 2021-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l04-python-interactive-mode.html 2023-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l04.html + 2021-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l05-object-oriented-programming.html 2023-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l05.html + 2021-03-17T17:10:25+00:00 + 0.80 + + + https://python.coderz.ir/lessons/l06-python-syntax.html + 2023-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l06.html 2021-03-17T17:10:25+00:00 From b4e949325217370fc5227ce8338cd6b66a1e59bf Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 7 Apr 2023 18:44:13 +0330 Subject: [PATCH 23/74] edited google-tag --- .../sphinx_minoo_theme/includes/header.html | 22 ++++++++----------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/source/_templates/sphinx_minoo_theme/includes/header.html b/source/_templates/sphinx_minoo_theme/includes/header.html index 6fdece4..1749d06 100644 --- a/source/_templates/sphinx_minoo_theme/includes/header.html +++ b/source/_templates/sphinx_minoo_theme/includes/header.html @@ -86,19 +86,15 @@ {%- endfor %} {% endif %} -{% if theme_analytics_id %} - -{% endif %} + + + From 4e75ee113db4d7e6056388eeb66bfe6b22bbde80 Mon Sep 17 00:00:00 2001 From: Saeid Date: Thu, 13 Apr 2023 10:18:20 +0430 Subject: [PATCH 24/74] fixed l10 --- source/lessons/l10.rst | 2 +- source/log.rst | 11 +++++++++++ 2 files changed, 12 insertions(+), 1 deletion(-) diff --git a/source/lessons/l10.rst b/source/lessons/l10.rst index 8d4797f..d031cd3 100644 --- a/source/lessons/l10.rst +++ b/source/lessons/l10.rst @@ -42,7 +42,7 @@ شناخته می‌شوند. -همانطور که گفته شد فایل‌ها چیزی جز مجموعه‌ای از مقدارهای باینری (یا دودویی) نیستند و فایل‌های متنی نیز در واقع یک زیر مجموعه از فایل‌های باینری است با این تفاوت که بیت‌های یک فایل متنی در کنار هم، بسته به نوع کدگذاری آن متناظر با دنباله‌ای از کاراکترهایی مشخص و قابل چاپ هستند. محتوای این نوع فایل در سطرهایی جداگانه قرار داده می‌شود و با استفاده از برنامه‌های ویرایشگر متن برای انسان خوانا می‌باشد. در یک فایل متنی با کدگذاری ASCII (اَسکی) هر هشت بیت (یک بایت) برابر یک کاراکتر می‌باشد - کدهای اسکی هفت بیتی هستند ولی در اکثر کامپیوترها برای هر کدام یک بایت در نظر گرفته می‌شود - برای نمونه کلمه Python به شکل شش بایت که هر کدام به ترتیب برابر مقدار باینری کد اسکی هر یک از این کاراکترها می‌باشد، ذخیره می‌شود. اسکی تنها از ۱۲۸ کاراکتر - از کد ۰ تا ۱۲۷ (در پایه ده) - پشتیبانی می‌کند و به همین دلیل امروزه بیشتر از کدگذاری‌های استاندارد Unicode (یونیکد) استفاده می‌گردد. در یونیکد مجموعه بسیار بزرگتری از کاراکتر نسبت به کدگذاری اسکی پشتیبانی می‌شود به گونه‌ای که اسکی را نیز در برمی‌گیرد؛ برای نمونه در کدگذاری UTF-8 از این استاندارد، ۱۲۸ کد نخست (از کد ۰ تا ۱۲۷) برابر کد همان ۱۲۸ کاراکتر اسکی می‌باشد. کدگذاری UTF-8 کاراکترهای یونیکد را در یک دنباله بایت با طول متغیر (۱ تا ۶ بایت) ارايه می‌دهد؛ در این کدگذاری برای کاراکترهای اسکی تنها یک بایت در نظر گرفته می‌شود. +همانطور که گفته شد فایل‌ها چیزی جز مجموعه‌ای از مقدارهای باینری (یا دودویی) نیستند و فایل‌های متنی نیز در واقع یک زیر مجموعه از فایل‌های باینری است با این تفاوت که بیت‌های یک فایل متنی در کنار هم، بسته به نوع کدگذاری آن متناظر با دنباله‌ای از کاراکترهایی مشخص و قابل چاپ هستند. محتوای این نوع فایل در سطرهایی جداگانه قرار داده می‌شود و با استفاده از برنامه‌های ویرایشگر متن برای انسان خوانا می‌باشد. در یک فایل متنی با کدگذاری ASCII (اَسکی) هر هشت بیت (یک بایت) برابر یک کاراکتر می‌باشد - کدهای اسکی هفت بیتی هستند ولی در اکثر کامپیوترها برای هر کدام یک بایت در نظر گرفته می‌شود - برای نمونه کلمه Python به شکل شش بایت که هر کدام به ترتیب برابر مقدار باینری کد اسکی هر یک از این کاراکترها می‌باشد، ذخیره می‌شود. اسکی تنها از ۱۲۸ کاراکتر - از کد ۰ تا ۱۲۷ (در پایه ده) - پشتیبانی می‌کند و به همین دلیل امروزه بیشتر از کدگذاری‌های استاندارد Unicode (یونیکد) استفاده می‌گردد. در یونیکد مجموعه بسیار بزرگتری از کاراکتر نسبت به کدگذاری اسکی پشتیبانی می‌شود به گونه‌ای که اسکی را نیز در برمی‌گیرد؛ برای نمونه در کدگذاری UTF-8 از این استاندارد، ۱۲۸ کد نخست (از کد ۰ تا ۱۲۷) برابر کد همان ۱۲۸ کاراکتر اسکی می‌باشد. کدگذاری UTF-8 کاراکترهای یونیکد را در یک دنباله بایت با طول متغیر (۱ تا ۴ بایت) ارايه می‌دهد؛ در این کدگذاری برای کاراکترهای اسکی تنها یک بایت در نظر گرفته می‌شود. در یک فایل باینری وجود سطر مفهومی ندارد و بایت‌های آن ممکن است داده‌هایی را نمایش دهند که نمی‌توان آن‌ها را توسط هیچ یک از کدگذاری‌های کاراکتر (UTF-8 ،ASCII و...) چاپ کرد یا حتی ممکن است در صورت چاپ آن‌ها نیز حاصل برای انسان غیر قابل فهم باشد. diff --git a/source/log.rst b/source/log.rst index 922ca3b..e731ac0 100644 --- a/source/log.rst +++ b/source/log.rst @@ -12,6 +12,17 @@ ============= +.. raw:: html + +

      00129 - پنجشنبه ۲۴ فروردین ۱۴۰۲

      + +* بنابر تذکر آقای «محمد درویشی» متن زیر از درس دهم اصلاح گردید: + + کدگذاری UTF-8 کاراکترهای یونیکد را در یک دنباله بایت با طول متغیر (۱ تا ۴ بایت) ارايه می‌دهد - پیش‌تر به اشتباه ۶ بایت ذکر شده بود. + + + +---- .. raw:: html From bd4f86d08b1235878881287a150680a874a18862 Mon Sep 17 00:00:00 2001 From: Saeid Date: Thu, 13 Apr 2023 10:36:50 +0430 Subject: [PATCH 25/74] fixed logs --- source/log.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/log.rst b/source/log.rst index e731ac0..8a7d5ed 100644 --- a/source/log.rst +++ b/source/log.rst @@ -14,7 +14,7 @@ .. raw:: html -

      00129 - پنجشنبه ۲۴ فروردین ۱۴۰۲

      +

      00129 - پنجشنبه ۲۴ فروردین ۱۴۰۲

      * بنابر تذکر آقای «محمد درویشی» متن زیر از درس دهم اصلاح گردید: From aa0892dceef907f24ad5ec8352a04aaeb95822c0 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 14 Apr 2023 12:32:47 +0330 Subject: [PATCH 26/74] edited l07 --- source/index.rst | 2 +- ...st => l07-numeric-and-string-data-types-in-python.rst} | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) rename source/lessons/{l07.rst => l07-numeric-and-string-data-types-in-python.rst} (98%) diff --git a/source/index.rst b/source/index.rst index fec8fa4..64b3fd3 100644 --- a/source/index.rst +++ b/source/index.rst @@ -34,7 +34,7 @@ lessons/l04-python-interactive-mode lessons/l05-object-oriented-programming lessons/l06-python-syntax - lessons/l07 + lessons/l07-numeric-and-string-data-types-in-python lessons/l08 lessons/l09 lessons/l10 diff --git a/source/lessons/l07.rst b/source/lessons/l07-numeric-and-string-data-types-in-python.rst similarity index 98% rename from source/lessons/l07.rst rename to source/lessons/l07-numeric-and-string-data-types-in-python.rst index 70dfc1d..f82a56f 100644 --- a/source/lessons/l07.rst +++ b/source/lessons/l07-numeric-and-string-data-types-in-python.rst @@ -1,16 +1,16 @@ .. role:: emoji-size .. meta:: - :description: کتاب آموزش زبان برنامه نویسی پایتون به فارسی، آموزش انواع داده در پایتون، آموزش انواع داده عددی صحیح int یا integer و long در پایتون، آموزش انواع عددی ممیز شناور float و double در پایتون، آموزش اعداد مختلط در پایتون (Complex Numbers)، نوع بولین bool یا boolean در پایتون، آموزش نوع داده کسر (fractions) در پایتون، آموزش نوع داده دسیمال (decimal) در پایتون، آموزش نوع داده رشته یا string در پایتون (str) - :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, نوع صحیح, نوع ممیز شناور, نوع مختلط, نوع دسیمال, نوع کسری, نوع بولی, نوع رشته, رشته‌ها در پایتون, قالب بندی رشته, توابع رشته در پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - انواع داده در پایتون: عددی و رشته + :keywords: در پایتون، آموزش انواع عددی ممیز شناور float و double در پایتون، آموزش اعداد مختلط در پایتون (Complex Numbers)، نوع بولین bool یا boolean در پایتون، آموزش نوع داده کسر (fractions) در پایتون، آموزش نوع داده دسیمال (decimal) در پایتون، آموزش نوع داده رشته یا string در پایتون (str)آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, نوع صحیح, نوع ممیز شناور, نوع مختلط, نوع دسیمال, نوع کسری, نوع بولی, نوع رشته, رشته‌ها در پایتون, قالب بندی رشته, توابع رشته در پایتون -درس ۰۷: انواع داده یا شی در پایتون: عددی و رشته +درس ۰۷: انواع داده در پایتون: عددی و رشته =========================================================== .. figure:: /_static/pages/07-python-built-in-data-types-1.jpg :align: center - :alt: انواع داده یا شی در پایتون: عددی و رشته + :alt: انواع داده در پایتون: عددی و رشته :class: page-image Photo by `Kristian Strand `__ From 8b9882e7512a6297ae638b1658d2f5c37084fb07 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Fri, 14 Apr 2023 20:34:47 +0330 Subject: [PATCH 27/74] edited and splitted l07 --- .../pages/07-python-built-in-data-types-0.jpg | Bin 0 -> 214964 bytes source/_static/sitemap-index.xml | 10 + source/index.rst | 3 +- ...umeric-and-string-data-types-in-python.rst | 1889 ----------------- .../lessons/l07-numeric-types-in-python.rst | 842 ++++++++ source/lessons/l07-string-in-python.rst | 1056 +++++++++ source/log.rst | 13 +- source/preface.rst | 2 +- 8 files changed, 1923 insertions(+), 1892 deletions(-) create mode 100644 source/_static/pages/07-python-built-in-data-types-0.jpg delete mode 100644 source/lessons/l07-numeric-and-string-data-types-in-python.rst create mode 100644 source/lessons/l07-numeric-types-in-python.rst create mode 100644 source/lessons/l07-string-in-python.rst diff --git a/source/_static/pages/07-python-built-in-data-types-0.jpg b/source/_static/pages/07-python-built-in-data-types-0.jpg new file mode 100644 index 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zKQ7#B&o&WsQ(4?`b&0_ovl!4x^(w{T$ck_Mz9Shw@3xW;3Z&4jmm_v}7um2vU6Czf z@MX-;)q8ho#_(+VP$-fRK=%pme1F8NSlwY9di&NQBo&c*_a*bX^k6%6up0UD^wbg) z9O1l-zPaS$UnAa{71ulux%W4+v>~V8bdzp(#fvfq?Tn%*GpU;CD*E-GQ-jzXtH#j7 zJBeD`0ewJ00e;ybr3C#6WiT!R^2a^CAO8IP&uIgSiTa4Mxo=KPg9X;BAF2021-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l07-numeric-types-in-python.html + 2023-03-17T17:10:25+00:00 + 0.80 + + + https://python.coderz.ir/lessons/l07-string-in-python.html + 2023-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l08.html 2021-03-17T17:10:25+00:00 diff --git a/source/index.rst b/source/index.rst index 64b3fd3..0150311 100644 --- a/source/index.rst +++ b/source/index.rst @@ -34,7 +34,8 @@ lessons/l04-python-interactive-mode lessons/l05-object-oriented-programming lessons/l06-python-syntax - lessons/l07-numeric-and-string-data-types-in-python + lessons/l07-numeric-types-in-python + lessons/l07-string-in-python lessons/l08 lessons/l09 lessons/l10 diff --git a/source/lessons/l07-numeric-and-string-data-types-in-python.rst b/source/lessons/l07-numeric-and-string-data-types-in-python.rst deleted file mode 100644 index f82a56f..0000000 --- a/source/lessons/l07-numeric-and-string-data-types-in-python.rst +++ /dev/null @@ -1,1889 +0,0 @@ -.. role:: emoji-size - -.. meta:: - :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - انواع داده در پایتون: عددی و رشته - :keywords: در پایتون، آموزش انواع عددی ممیز شناور float و double در پایتون، آموزش اعداد مختلط در پایتون (Complex Numbers)، نوع بولین bool یا boolean در پایتون، آموزش نوع داده کسر (fractions) در پایتون، آموزش نوع داده دسیمال (decimal) در پایتون، آموزش نوع داده رشته یا string در پایتون (str)آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, نوع صحیح, نوع ممیز شناور, نوع مختلط, نوع دسیمال, نوع کسری, نوع بولی, نوع رشته, رشته‌ها در پایتون, قالب بندی رشته, توابع رشته در پایتون - - -درس ۰۷: انواع داده در پایتون: عددی و رشته -=========================================================== - -.. figure:: /_static/pages/07-python-built-in-data-types-1.jpg - :align: center - :alt: انواع داده در پایتون: عددی و رشته - :class: page-image - - Photo by `Kristian Strand `__ - - -پایتون هر «نوع داده» (Data Type) را توسط یک کلاس ارایه می‌دهد؛ بنابراین هر داده یک نمونه یا یک شی از کلاسی مشخص است. هر چند برنامه‌نویس نیز می‌تواند با تعریف کلاس، نوع دلخواه خود را داشته باشد ولی در این درس می‌خواهیم درباره آن بخشی از انواع داده یا انواع شی‌ای که به شکل آماده (Built-in) در اختیار مفسر زبان پایتون قرار داده شده است صحبت کنیم. - -در این درس تنها به بررسی «انواع شی عددی» و «نوع رشته» در پایتون پرداخته می‌شود و انواع باقی مانده دیگر توسط درس بعد بررسی خواهند شد. با اینکه تلاش شده است جزییات کامل باشند ولی در برخی بخش‌ها مطالعه اسناد رسمی پایتون می‌تواند اطلاعات کامل‌تری را در اختیار شما قرار دهد. در مواقع بسیاری از تابع‌های آماده پایتون استفاده خواهد شد که ممکن است جزییاتی بیشتر از آنچه در این درس بیان می‌شود را داشته باشند؛ به همین دلیل لینک تعریف آن‌ها در اسناد پایتون نیز ارایه گشته است. نکته مهم در مطالعه این درس بررسی نمونه کدهاست که گاهی درک توضیحی که داده شده است بدون دقت در این نمونه کدها ناممکن خواهد بود. - - - -:emoji-size:`✔` سطح: مقدماتی - ----- - -.. contents:: سرفصل‌ها - :depth: 2 - ----- - - - -انواع عددی - - -در زبان پایتون دسته‌ای از انواع شی وجود دارد که برای کار با داده‌های عددی ایجاد گشته‌اند؛ از این جهت به عنوان «انواع عددی» (Numeric Types) شناخته می‌شوند. این انواع شی عبارتند از: - -* صحیح (Integer) -* ممیز شناور (Floating-Point) -* مختلط (Complex) -* دسیمال (Decimal) -* کسر (Fraction) -* بولی (Boolean) - -*در ادامه به بررسی هر یک خواهیم پرداخت.* - -صحیح -------- -این نوع از اشیا تمام اعداد مثبت و منفی بدون «ممیز اعشار» را شامل می‌شوند؛ مانند: ``1234``، ``26-`` و... - -*ارایه نوع عدد صحیح از موارد اختلاف در نسخه‌های 2x و 3x می‌باشد.* - -**در نسخه‌های 2x** اعداد صحیح در قالب دو نوع ``int`` (با محدودیت اندازه) و ``long`` (بدون محدودیت اندازه) بیان می‌شوند:: - - >>> a = 3 # Python 2.x - >>> type(a) - - - >>> b = 3L - >>> type(b) - - -به این صورت که اگر عدد صحیحی با حرف ``L`` (اِل بزرگ) یا ``l`` (اِل کوچک) پایان یابد؛ به صورت نوع ``long`` در نظر گرفته خواهد شد. البته توجه داشته باشید چنانچه در نوع ``int`` سرریز (`Overflow `_) رخ دهد؛ خطایی به وجود نخواهد آمد و پایتون به صورت خودکار شی نوع ``int`` را به شی‌ای از نوع ``long`` تبدیل (Convert) خواهد کرد. - -بیشینه و کمینه مقدار یک شی از نوع ``int`` به ترتیب با استفاده از ``sys.maxint`` و ``sys.maxint - 1 -`` قابل دریافت است که می‌توانید این مقادیر را در یک نمونه کامپیوتر با معماری ۶۴ بیتی به صورت پایین مشاهده نمایید:: - - >>> import sys # Python 2.x - - >>> sys.maxint - 9223372036854775807 - >>> type(_) # _ is result of the last executed statement => 9223372036854775807 - - - >>> - sys.maxint - 1 - -9223372036854775808 - - >>> type(sys.maxint + 1) - - - -**در نسخه‌های 3x** اعداد صحیح تنها در قالب یک نوع ``int`` (بدون محدودیت اندازه) ارایه می‌گردد و باید توجه داشت که استفاده از حرف ``L`` (یا ``l``) در پایان اعداد صحیح مجاز نمی‌باشد:: - - >>> a = 3 # Python 3.x - >>> type(a) - - - >>> b = 3L - File "", line 1 - b = 3L - ^ - SyntaxError: invalid syntax - >>> - -در این نسخه‌ها ``sys.maxint`` حذف شده است ولی می‌توان به جای آن از ``sys.maxsize`` استفاده کرد که مقدار آن در نمونه کامپیوتر پیش برابر پایین است:: - - >>> import sys # Python 3.x - - >>> sys.maxsize - 9223372036854775807 - >>> type(_) - - - >>> type(sys.maxsize + 1) - - - -.. note:: - منظور از اندازه نامحدود اعداد این است که اندازه این اشیا تنها محدود به میزان حافظه‌ (Memory) آزاد بوده و تا هر اندازه‌ای که حافظه در دسترس باشد می‌توانند در محاسبات رشد داشته باشند. - -در هر دو شاخه از پایتون؛ اعداد صحیح را می‌توان علاوه بر پایه ده؛ در پایه دو (Binary)، پایه هشت (Octal) و پایه شانزده (Hexadecimal) نیز در نظر گرفت. به این صورت که: - -* **اعداد پایه دو** می‌بایست با یک ``0b`` یا ``0B`` (صفر و حرف بی کوچک یا بزرگ) آغاز گردند؛ مانند: ``0b11`` که برابر عدد ``3`` در پایه ده است:: - - >>> a = 0b11 - >>> type(a) - - >>> a - 3 - - -* **اعداد پایه هشت** می‌بایست با یک ``0o`` یا ``0O`` (صفر و حرف اُ کوچک یا بزرگ) آغاز گردند؛ مانند: ``0o14`` که برابر عدد ``12`` در پایه ده است:: - - >>> a = 0o14 - >>> type(a) - - >>> a - 12 - - همچنین در **نسخه‌های 2x** برای مشخص کردن عددی در این پایه می‌توان به جای ``0o`` یا ``0O``، تنها از یک صفر ``0`` استفاده کرد:: - - >>> 0o14 # Python 3.x and Python 2.x - 12 - - >>> 014 # Python 2.x - 12 - - -* **اعداد پایه شانزده** می‌بایست با یک ``0x`` یا ``0X`` (صفر و حرف اِکس کوچک یا بزرگ) آغاز گردند؛ مانند: ``0xA5`` که برابر عدد ``165`` در پایه ده است:: - - >>> a = 0xA5 - >>> type(a) - - >>> a - 165 - >>> print(a) - 165 - -همانطور که در نمونه کدهای بالا نیز قابل مشاهده است؛ نوع شی صحیح در پایه‌های گوناگون تفاوتی نمی‌کند (همان ``int`` است) و در پایتون تنها از یک سینتکس متفاوت برای مشخص کردن آن‌ها استفاده شده است. همچنین علاوه بر وارد کردن این اشیا در حالت تعاملی؛ تابع (یا دستور) ``print`` نیز این اشیا را به پایه ده تبدیل کرده و سپس چاپ می‌‌کند. - - -برای تبدیل یک عدد صحیح در پایه ده به هر یک از این پایه‌ها می‌توانید از تابع‌های آماده ``()bin`` [`اسناد پایتون `__] برای تبدیل به پایه دو، ``()oct`` [`اسناد پایتون `__] برای تبدیل به پایه هشت و ``()hex`` [`اسناد پایتون `__] برای تبدیل به پایه شانزده استفاده نمایید. تنها توجه داشته باشید که خروجی هر یک از این تابع‌ها به صورت یک شی از نوع رشته یا String برگردانده می‌شود و نه یک نوع عددی:: - - >>> a = 3 - >>> b = bin(a) - >>> b - '0b11' - >>> type(b) - - - >>> a = 12 - >>> b = oct(a) - >>> b - '0o14' - >>> type(b) - - - >>> a = 165 - >>> b = hex(a) - >>> b - '0xa5' - >>> type(b) - - -و برای برگرداندن پایه اعداد صحیح به پایه ده می‌توان از کلاس ``()int`` [`اسناد پایتون `__] استفاده کرد. آرگومان‌های نمونه این کلاس به صورت ``(int(str, base`` می‌باشد؛ آرگومان یکم: str می‌بایست یک «رشته عددی» یعنی یک عدد صحیح (در هر پایه‌ای) داخل نمادهای نقل قول (Quotation) باشد که آرگومان دوم، پایه (Base) آن را مشخص می‌کند. در نهایت این کلاس یک شی ``int`` متناظر با آرگومان یکم ولی در پایه ده را برمی‌گرداند:: - - >>> a = 165 - - >>> type(a) - - - >>> b = hex(a) # Converted to hexadecimal - >>> b - '0xa5' - - >>> type(b) - - - >>> int(b, 16) # str='0xa5' base=16 - 165 - - >>> type(int(b, 16)) - - - - -توجه داشته باشید که می‌توان اعداد را بدون حرف مشخص کننده پایه (``0x`` ``0o`` ``0b``) به این کلاس ارسال کنیم. همچنین از این کلاس می‌توان برای تبدیل **نوع** رشته‌های عددی در پایه ده به **عدد صحیح** استفاده کرد. مقدار پیش‌فرض آرگومان پایه ``10`` است؛ بنابراین در هنگام ارسال اعداد در این پایه، نیازی به ذکر پایه ``10`` نمی‌باشد:: - - - >>> int("A5", 16) # 0xA5 - 165 - -:: - - >>> a = "56" - >>> int(a, 10) - 56 - >>> int(a) - 56 - -:: - - >>> int() - 0 - -*()int بدون آرگومان یک شی صفر از نوع صحیح را برمی‌گرداند.* - -.. note:: - منظور از «رشته عددی»، رشته‌ای است که به گونه‌ای بتوان آن را به یک عدد ارزیابی نمود. مانند: ``"25"``، ``"0x2F"`` و... که بدیهی است قرار دادن رشته‌هایی همچون ``"0w55"`` و... - که به هیچ شکلی نمی‌توان آن‌ها را به عددی در پایتون ارزیابی نمود - در آرگومان ``()int`` موجب بروز خطا می‌گردد. - -با تفاوت شیوه ارایه نوع اعداد صحیح در بین نسخه‌های 2x و 3x پایتون آشنا شده‌ایم. فقط باید توجه داشت که در **نسخه‌های 2x** پایتون؛ کلاس ``()int`` [`اسناد پایتون `__] یک شی از نوع ``int`` را برمی‌گرداند و برای ایجاد اشیایی از نوع ``long`` کلاس مشابه دیگری با نام ``()long`` [`اسناد پایتون `__] در دسترس است:: - - >>> a = 25 # Python 2.x - - >>> int(a) - 25 - - >>> long(a) - 25L - -در هر دو شاخه از پایتون؛ اعداد در پایه ده را می‌توان با نوع عددی - نه به شکل رشته عددی - نیز به تابع ``()int`` (یا ``()long``) ارسال نمود. - - -برای به دست آوردن اندازه یا میزان حافظه گرفته شده توسط یک شی به واحد بایت (Byte) می‌توان از تابع ``()getsizeof`` [`اسناد پایتون `__] درون ماژول ``sys`` استفاده نماییم - خروجی این تابع برای دو شی صحیح دلخواه در یک نمونه کامپیوتر ۶۴ بیتی به صورت پایین است:: - - >>> import sys # Python 3.x - >>> a = 1 - >>> sys.getsizeof(a) - 28 - >>> sys.getsizeof(10**100) - 72 - -:: - - >>> import sys # Python 2.x - >>> a = 1 - >>> sys.getsizeof(a) - 24 - >>> sys.getsizeof(10**100) - 72 - - - - - -ممیز شناور ------------ - -تمام اعداد مثبت و منفی که شامل یک «ممیز اعشار» هستند در پایتون به صورت اشیایی با نوع ``float`` (معادل نوع ``double`` در زبان C) ارایه می‌شوند؛ مانند: ``3.1415``، ``.5`` (برابر ``5.0``) و... :: - - >>> a = 3.1415 - >>> type(a) - - - >>> import sys - >>> sys.getsizeof(a) - 24 - -جزییات این نوع با استفاده از ``sys.float_info`` [`اسناد پایتون `__] قابل مشاهده است:: - - >>> import sys - >>> sys.float_info - sys.float_info(max=1.7976931348623157e+308, max_exp=1024, max_10_exp=308, min=2.2250738585072014e-308, min_exp=-1021, min_10_exp=-307, dig=15, mant_dig=53, epsilon=2.220446049250313e-16, radix=2, rounds=1) - -گاهی برای نمایش اعداد از شیوه «نماد علمی» (`Scientific Notation `_) استفاده می‌شود؛ در پایتون هم می‌توان از حرف ``E`` یا ``e`` که معادل «ضرب در ۱۰ به توانِ» می‌باشد، برای این منظور استفاده کرد. - -.. raw:: html - -

      برای نمونه: عبارت 4 × 105، به شکل 4E5 یا 4e5 بیان می‌شود. پایتون این نوع اعداد را نیز در قالب اعداد ممیز شناور (اشیایی از نوع float) ارايه می‌دهد:
      - -:: - - >>> 3e2 - 300.0 - - >>> type(3e2) - - - >>> 3e-2 - 0.03 - - >>> 3e+2 - 300.0 - -می‌توان از کلاس ``()float`` [`اسناد پایتون `__] برای تبدیل اعداد یا رشته‌های عددی به یک شی ممیز شناور استفاده کرد:: - - >>> a = 920 - - >>> type(a) - - - >>> float(a) - 920.0 - - >>> type(float(a)) - - - >>> float("920") - 920.0 - - >>> float("3e+2") - 300.0 - -:: - - >>> float() - 0.0 - -*()float بدون آرگومان یک شی صفر از نوع ممیز شناور را برمی‌گرداند.* - -چنانچه عددی از نوع ممیز شناور در آرگومان کلاس ``()int`` قرار بگیرد؛ تنها بخش صحیح عدد برگردانده می‌شود:: - - >>> a = 2.31 - >>> type(a) - - - >>> int(a) - 2 - >>> type(int(a)) - - - >>> int(3.9) - 3 - -با استفاده از کلاس ``()float`` می‌توانیم اشیایی با مقدارهای مثبت و منفی «بی‌نهایت» (infinity) برابر: ``inf`` یا ``infinity`` و «تعریف نشده» (Not a Number) برابر: ``NaN`` ایجاد نماییم - چگونگی کوچک یا بزرگ نوشتن حروف این کلمه‌ها تفاوتی در آن‌ها ایجاد نمی‌کند:: - - >>> a = float('infinity') - >>> a = float('inf') - >>> a - inf - - >>> b = float('-infinity') - >>> b = float('-inf') - >>> b - -inf - - >>> c = float('NaN') - >>> c - nan - -:: - - >>> a = float('inf') - - >>> 5 / a - 0.0 - - >>> a / a - nan - -:: - - >>> a = float('inf') - >>> b = float('inf') - >>> a == b - True - - >>> a = float('nan') - >>> b = float('nan') - >>> a == b - False - -*دو شی NaN با یکدیگر برابر نیستند.* - -برای بررسی اینکه مقدار یک شی «بی‌نهایت» یا «تعریف نشده» است؛ می‌توان به ترتیب از تابع‌های ``()isinf`` [`اسناد پایتون `__] و ``()isnan`` [`اسناد پایتون `__] درون ماژول ``math`` استفاده نماییم:: - - >>> a = float('inf') - >>> b = float('nan') - - >>> import math - - >>> math.isinf(a) - True - >>> math.isnan(b) - True - - -مختلط --------- - -همانطور که می‌دانیم اعداد مختلط (`Complex Numbers `_) از یک بخش حقیقی (Real) و یک بخش موهومی (Imaginary) تشکیل شده‌اند. این اعداد در پایتون الگویی برابر ``RealPart + ImaginaryPart j`` دارند که حرف ``j`` نشانگر «واحد موهومی» است. این اعداد در پایتون توسط اشیایی با نوع ``complex`` ارایه می‌شوند:: - - >>> a = 3 + 4j - >>> type(a) - - - >>> import sys - >>> sys.getsizeof(a) - 32 - - -از کلاس ``()complex`` [`اسناد پایتون `__] می‌توان برای ایجاد یک شی ``complex`` استفاده کرد. این کلاس الگویی مشابه ``(complex(real, imag`` دارد؛ آرگومان‌های نمونه real و imag بیانگر اعدادی هستند که به ترتیب قرار است در بخش‌های حقیقی و موهومی عدد مختلط مورد نظر وجود داشته باشند. اگر هر کدام از آرگومان‌ها ارسال نگردند به صورت پیش‌فرض صفر در نظر گرفته خواهند شد:: - - >>> a = 3 - >>> b = 4 - - >>> type(a) - - >>> type(b) - - - >>> complex(a, b) - (3+4j) - - >>> type(complex(a, b)) - - -:: - - >>> complex(3, 4) - (3+4j) - - >>> complex(3) - (3+0j) - - >>> complex(0, 4) - 4j - - >>> complex(4j) - 4j - -:: - - >>> a = 3 + 4j - >>> a - (3+4j) - - >>> a = 3.2 + 4j - >>> a - (3.2+4j) - - >>> a = 3.0 + 4j - >>> a - (3+4j) - - >>> a = 3.0 + 4.0j - >>> a - (3+4j) - -همچنین با استفاده از دو صفت ``real`` و ``imag`` می‌توان بخش‌های حقیقی و موهومی هر شی ``complex`` را به دست آورد. توجه داشته باشید که جدا از این که اعداد از چه نوعی در تشکیل یک نوع مختلط شرکت کرده باشند؛ بخش‌های عدد مختلط به صورت عدد ممیز شناور تفکیک می‌گردند:: - - >>> a = 3 + 4j - - >>> a.real - 3.0 - >>> a.imag - 4.0 - -``()complex`` توانایی دریافت یک رشته عددی و تبدیل آن به عدد مختلط را نیز دارد. تنها باید توجه داشت که نباید داخل این رشته هیچ فضای خالی وجود داشته باشد:: - - >>> a = "3+4j" - - >>> type(a) - - - >>> complex(a) - (3+4j) - - >>> a = "3" - >>> complex(a) - (3+0j) - - >>> type(complex(a)) - - -:: - - >>> a = "3 + 4j" - >>> complex(a) - Traceback (most recent call last): - File "", line 1, in - ValueError: complex() arg is a malformed string - >>> - -.. note:: - امکان قرار دادن رشته عددی (مختلط) یا خود شی عدد مختلط در آرگومان کلاس‌های ``()int`` (یا ``()long``) و ``()float`` وجود ندارد و موجب بروز خطا می‌شود. - - - -دسیمال --------- - -اساس طراحی این نوع برای استفاده در مواقعی است که خطا نوع ممیز شناور قابل گذشت نیست [`PEP 327 `_] مانند توسعه برنامه حسابداری. مفسر پایتون برای ارایه نوع ممیز شناور به کامپیوتر از کدگذاری Binary Floating-Point (`استاندارد IEEE 754 `_) استفاده می‌کند. این کدگذاری اعداد در پایه ده که مورد نظر کاربر هستند را - مانند ``0.1`` - به شکل دقیق ارایه نمی‌دهد؛ به عنوان نمونه عدد ``0.1`` برابر با عددی نزدیک به ``0.10000000000000001`` در محاسبات کامپیوتر شرکت داده می‌شود؛ هر چند که این عدد بسیار نزدیک به ``0.1`` است ولی به هر حال خود آن نیست!. این موضوع ممکن است در برخی موارد موجب خطا منطقی در برنامه گردد:: - - >>> a = 0.1 + 0.1 + 0.1 - >>> a == 0.3 - False - >>> a - 0.30000000000000004 - - -*در نمونه کد بالا کاربر انتظار دارد که عبارت سطر دوم با ارزش درستی True ارزیابی گردد که این اتفاق نمی‌افتد.* - -در پایتون نوع دسیمال با ایجاد شی از کلاس ``Decimal`` درون ماژول ``decimal`` در دسترس قرار گرفته است [`اسناد پایتون `__]. به نمونه کد پایین توجه نمایید:: - - >>> import decimal - - >>> a = decimal.Decimal('0.1') - >>> b = decimal.Decimal('0.3') - - >>> b == a + a + a - True - - >>> type(a) - - - >>> a - Decimal('0.1') - - >>> print(a) - 0.1 - - >>> import sys - >>> sys.getsizeof(a) - 104 - - -به شیوه‌های گوناگونی می‌توان شی دسیمال ایجاد کرد: - -.. code-block:: python - :linenos: - - a = decimal.Decimal(23) # Creates Decimal("23") - b = decimal.Decimal("23.45") # Creates Decimal("23.45") - c = decimal.Decimal("2345e-2") # Creates Decimal("23.45") - d = decimal.Decimal((1,(2,3,4,5),-2)) # Creates Decimal("-23.45") - e = decimal.Decimal("infinity") - f = decimal.Decimal("NaN") - -* از آنجا که نوع ممیز شناور دقیق نیست؛ این اعداد را حتما به صورت رشته به ``Decimal`` ارسال نمایید (سطر دوم). -* اعداد را می‌توان به صورت یک شی تاپل (Tuple) - ساختاری مشابه: (... ,Ο, Ο, Ο) - ارسال کرد (سطر چهارم). شیوه نماد علمی را به یاد بیاورید؛ تاپل مورد نظر باید ساختاری مشابه الگو ``(sign, digits, exponent)`` داشته باشد که در آن sign مثبت بودن (توسط عدد صفر) یا منفی بودن (توسط عدد یک) را مشخص می‌کند، digits خود تاپلی است که رقم‌های دخیل را بیان می‌کند و exponent نیز بیانگر همان توان است. - -میزان دقت (Precision) و عمل گرد کردن (Rounding) اعداد از نوع دسیمال با استفاده از یک شی ``Context`` قابل کنترل است؛ این شی یک سری اطلاعات پیکربندی را در اختیار اشیا دسیمال قرار می‌دهد که برای دسترسی به آن باید از تابع ``()getcontext`` [`اسناد پایتون `__] درون ماژول ``decimal`` استفاده کرد. تابع ``()getcontext`` شی ``Context`` اشیا دسیمال جاری برنامه را برمی‌گرداند. در برنامه‌نویسی چندنخی (Multithreading) هر نخ (thread) شی ``Context`` خاص خود را دارد؛ بنابراین این تابع شی ``Context`` مربوط به نخ فعال را برمی‌گرداند:: - - >>> import decimal - - >>> a = decimal.Decimal('3.45623') - >>> b = decimal.Decimal('0.12') - - >>> a + b - Decimal('3.57623') - - >>> print(a + b) - 3.57623 - - >>> ctx = decimal.getcontext() - >>> type(ctx) - - - >>> ctx.prec = 1 - >>> a + b - Decimal('4') - - >>> ctx.prec = 2 - >>> a + b - Decimal('3.6') - - >>> ctx.prec = 3 - >>> a + b - Decimal('3.58') - - -همانطور که در نمونه کد بالا مشاهده می‌شود دقت محاسبات اعداد دسیمال را می‌توان با استفاده از صفت ``prec`` شی ``Context`` به شکل دلخواه تنظیم نمود؛ مقدار پیش‌فرض این صفت ``28`` است. بدیهی است برای اینکه اعداد در محدوده دقت کوچکتری نسبت به طول خود قرار بگیرند نیاز به گرد شدن دارند؛ برای تنطیم عمل گرد کردن در اعداد دسیمال نیز از صفت ``rounding`` که مقدار پیش‌فرض آن ``"ROUND_HALF_EVEN"`` است، استفاده می‌شود:: - - >>> a = decimal.Decimal('2.0') - >>> b = decimal.Decimal('0.52') - - >>> ctx.prec - 28 - >>> ctx.rounding - 'ROUND_HALF_EVEN' - - >>> print(a + b) - 2.52 - - >>> ctx.prec = 2 - - >>> print(a + b) - 2.5 - - >>> ctx.rounding = "ROUND_CEILING" - - >>> print(a + b) - 2.6 - -صفت ``rounding`` می‌بایست حاوی مقادیر ثابتی به شرح پایین باشد: - -* **ROUND_CEILING** - گرد کردن به سمت مثبت بی‌نهایت: یعنی برای اعداد **مثبت** ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52`` به ``2.6`` گرد می‌شود. برای اعداد منفی نیز تنها اعداد خارج از محدوده حذف می‌گردند مثلا عدد ``2.19-`` به ``2.1-`` گرد می‌شود. -* **ROUND_FLOOR** - گرد کردن به سمت منفی بی‌نهایت: یعنی برای اعداد **منفی** ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52-`` به ``2.6-`` گرد می‌شود. برای اعداد مثبت نیز تنها اعداد خارج از محدوده حذف می‌گردند مثلا عدد ``2.19`` به ``2.1`` گرد می‌شود. -* **ROUND_DOWN** - گرد کردن به سمت صفر: یعنی برای اعداد مثبت و منفی تنها ارقام خارج از محدوده حذف می‌گردند مثلا عدد ``2.58`` به ``2.5`` و عدد ``2.58-`` به ``2.5-`` گرد می‌شود. -* **ROUND_UP** - گرد کردن به دور از صفر: یعنی برای اعداد مثبت و منفی ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52`` به ``2.6`` و عدد ``2.52-`` به ``2.6-`` گرد می‌شود. -* **ROUND_HALF_DOWN** - اگر رقم ابتدایی بخش حذف شده بزرگتر از ``5`` باشد به روش ROUND_UP و در غیر این صورت به روش ROUND_DOWN گرد می‌گردد. مثلا عدد ``2.58`` به ``2.6`` و عدد ``2.55`` به ``2.5`` گرد شده و همینطور عدد ``2.58-`` به ``2.6-`` و عدد ``2.55-`` به ``2.5-`` گرد می‌شود. -* **ROUND_HALF_UP** - اگر رقم ابتدایی بخش حذف شده بزرگتر یا برابر ``5`` باشد به روش ROUND_UP و در غیر این صورت به روش ROUND_DOWN گرد می‌گردد. مثلا عدد ``2.55`` به ``2.6`` و عدد ``2.51`` به ``2.5`` گرد شده - همینطور عدد ``2.55-`` به ``2.6-`` و عدد ``2.51-`` به ``2.5-`` گرد می‌کند. -* **ROUND_HALF_EVEN** - همانند ROUND_HALF_DOWN است ولی در مواقعی که رقم ابتدایی بخش حذف شده برابر ``5`` باشد رفتار آن متفاوت می‌شود: در این حالت اگر آخرین رقم باقی مانده زوج باشد به شیوه ROUND_DOWN و اگر فرد باشد به روش ROUND_UP گرد می‌گردد. مثلا عدد ``2.68`` به ``2.7``، ``2.65`` به ``2.6`` و ``2.75`` به ``2.8`` - همینطور عدد ``2.68-`` به ``2.7-``، ``2.65-`` به ``2.6-`` و ``2.75-`` به ``2.8-`` گرد می‌کند. -* **ROUND_05UP** - اگر بر اساس روش ROUND_DOWN آخرین رقم باقی مانده ``0`` یا ``5`` باشد؛ به روش ROUND_UP و در غیر این صورت به همان شیوه ROUND_DOWN گرد می‌کند. مثلا عدد ``2.58`` به ``2.6`` و ``2.48`` به ``2.4`` - همینطور عدد ``2.58-`` به ``2.6-`` و ``2.48-`` به ``2.4-`` گرد می‌شود. - -ماژول ``decimal`` یا نوع دسیمال پایتون شامل جزییات و ویژگی‌های بسیار بیشتری است که برای آگاهی از آن‌ها می‌بایست صفحه مربوط به آن در `اسناد پایتون `__ را مطالعه نمایید. - - - -کسر ------- - -این نوع برای پشتیبانی اعداد گویا (Rational) در پایتون ارایه شده است و با ایجاد شی از کلاس ``Fraction`` درون ماژول ``fractions`` در دسترس قرار می‌گیرد [`اسناد پایتون `__]:: - - >>> import fractions - - >>> a = 1 - >>> b = 2 - >>> f = fractions.Fraction(a, b) - - >>> f - Fraction(1, 2) - - >>> print(f) - 1/2 - - >>> type(f) - - - >>> import sys - >>> sys.getsizeof(f) - 56 - -علاوه‌بر روش بالا که به صورت مستقیم صورت و مخرج کسر - از نوع صحیح - مشخص شده است؛ به روش‌های دیگری نیز می‌توان یک شی کسری ایجاد نمود: - -* از یک شی ممیز شناور - بهتر است این نوع به صورت رشته وارد شود:: - - >>> print(fractions.Fraction('0.5')) - 1/2 - >>> print(fractions.Fraction('1.1')) - 11/10 - >>> print(fractions.Fraction('1.5')) - 3/2 - >>> print(fractions.Fraction('2.0')) - 2 - - :: - - >>> print(fractions.Fraction(0.5)) - Fraction(1, 2) - - >>> print(fractions.Fraction(1.1)) - 2476979795053773/2251799813685248 - >>> 2476979795053773 / 2251799813685248 - 1.1 - - >>> print(fractions.Fraction(1.5)) - 3/2 - - متد ``()limit_denominator`` می‌تواند یک شی ممیز شناور را با محدود کردن مخرج در یک مقدار بیشینه به صورت تقریبی به یک شی کسر تبدیل نماید:: - - >>> fractions.Fraction(1.1).limit_denominator() - Fraction(11, 10) - - :: - - >>> import math - >>> math.pi - 3.141592653589793 - >>> pi = math.pi - >>> fractions.Fraction(pi) - Fraction(884279719003555, 281474976710656) - >>> 884279719003555 / 281474976710656 - 3.141592653589793 - - >>> fractions.Fraction(pi).limit_denominator() - Fraction(3126535, 995207) - >>> 3126535 / 995207 - 3.1415926535886505 - - >>> fractions.Fraction(pi).limit_denominator(8) - Fraction(22, 7) - >>> 22 / 7 - 3.142857142857143 - - >>> fractions.Fraction(pi).limit_denominator(60) - Fraction(179, 57) - >>> 179 / 57 - 3.1403508771929824 - - - - - - - -* از یک شی دسیمال:: - - >>> print(fractions.Fraction(decimal.Decimal('1.1'))) - 11/10 - -* از یک رشته کسری - صورت و مخرج کسر می‌بایست از نوع صحیح باشند:: - - >>> print(fractions.Fraction('3/14')) - 3/14 - -* از یک شی کسر دیگر:: - - >>> f1 = fractions.Fraction(1, 2) - >>> f2 = fractions.Fraction(3, 5) - >>> fractions.Fraction(f1) - Fraction(1, 2) - >>> fractions.Fraction(f1, f2) - Fraction(5, 6) - -با استفاده از دو صفت ``numerator`` و ``denominator`` می‌توان به ترتیب به صورت و مخرج شی کسر دسترسی یافت:: - - >>> f = fractions.Fraction('1.5') - >>> f.numerator - 3 - >>> f.denominator - 2 - -از این نوع شی به سادگی می توان در انواع محاسبات ریاضی استفاده کرد؛ برای نمونه به تکه کد پایین توجه نمایید:: - - >>> fractions.Fraction(1, 2) + fractions.Fraction(3, 4) - Fraction(5, 4) - - >>> fractions.Fraction(5, 16) - fractions.Fraction(1, 4) - Fraction(1, 16) - - >>> fractions.Fraction(3, 5) * fractions.Fraction(1, 2) - Fraction(3, 10) - - >>> fractions.Fraction(3, 16) / fractions.Fraction(1, 8) - Fraction(3, 2) - -چنانچه یک شی صحیح به شی کسر افزوده شود حاصل یک شی کسر است ولی اگر یک شی ممیز شناور به شی کسر افزوده شود حاصل یک شی از نوع ممیز شناور می‌باشد:: - - >>> fractions.Fraction(5, 2) + 3 - Fraction(11, 2) - >>> fractions.Fraction(5, 2) + 3.0 - 5.5 - -.. rubric:: ب.م.م - -ماژول ``fractions`` علاوه بر نوع کسری؛ حاوی تابع ``()gcd`` [`اسناد پایتون `__] نیز است. این تابع «بزرگترین مقسوم‌علیه مشترک» (`GCD `_) دو عدد را برمی‌گرداند:: - - >>> import fractions - >>> fractions.gcd(54, 24) - 6 - -بولی ------- - -کلاسی که در پایتون از آن برای ایجاد شی بولی استفاده می‌شود (``bool``) در واقع یک کلاس فرزند از کلاس اعداد صحیح (``int``) است. این نوع شی تنها می‌تواند یکی از دو مقدار ``True`` (درست) یا ``False`` (نادرست) را داشته باشد که ``True`` برابر با عدد صحیح ``1`` و ``False`` برابر با عدد صحیح ``0`` ارزیابی می‌گردد:: - - >>> a = True - - >>> a - True - - >>> type(a) - - - >>> import sys - >>> sys.getsizeof(a) - 28 - - -:: - - >>> int(True) - 1 - >>> int(False) - 0 - >>> float(True) - 1.0 - >>> complex(True) - (1+0j) - - -:: - - >>> True + 1 - 2 - >>> False + 1 - 1 - >>> True * 25 - 25 - >>> False * 25 - 0 - -کلاس ``()bool`` یا متد ``()__bool__`` مقدار بولی یک شی را برمی‌گرداند [`اسناد پایتون `__]:: - - >>> bool(0) - False - >>> bool(1) - True - >>> bool("") # Empty String - False - -:: - - >>> a = 15 - >>> a.__bool__() - True - >>> a = -15 - >>> a.__bool__() - True - >>> a = 0 - >>> a.__bool__() - False - -در پایتون اشیا پایین به مقدار بولی ``False`` (نادرست) ارزیابی می‌گردند: - -* ``None`` -* ``False`` -* شی صفر (در انواع گوناگون): ``0``، ``0.0``، ``0j`` -* تمام اشیا دنباله‌ خالی: ``""``، ``()``، ``[]`` -* شی دیکشنری خالی: ``{}`` -* شی مجموعه خالی: ``()set`` - -*با موارد نا آشنا به مرور آشنا می‌شوید.* - - - -رشته ------- -نوع «رشته» (String) در پایتون با قرار گرفتن دنباله‌ای از کاراکترها درون یک جفت نماد نقل قول (Quotation) تکی ``' '`` یا دو تایی ``" "`` ایجاد می‌شود؛ به مانند ``"Python Strings"`` یا ``'Python Strings'`` که تفاوتی با یکدیگر از نظر نوع ندارند:: - - >>> a = "Python Strings" - - >>> a - 'Python Strings' - - >>> print(a) - Python Strings - - >>> import sys - >>> sys.getsizeof(a) - 63 - -بیشتر مواقع در حالت تعاملی نیازی به استفاده از تابع (یا دستور) ``print`` نمی‌باشد ولی باید توجه داشته باشیم که حالت تعاملی بر بدون ابهام بودن این خروجی‌ها توجه دارد بنابراین آن‌ها را با جزییات نمایش می‌دهد که مناسب برنامه‌نویس است؛ برای نمونه حتما به چگونگی نمایش انواع دسیمال و کسری توجه کرده‌اید یا در نمونه کد بالا مشاهده می‌شود که نوع رشته به همراه نماد نقل قول نمایش داده شده است یا اگر متن رشته شامل کاراکترهای Escape باشد، آن‌ها را بدون تفسیر به همان شکل به خروجی می‌فرستد. اما ``print`` توجه بر خوانایی خروجی خود دارد و تا حد امکان جزییات را پنهان می‌کند؛ در نتیجه متن تمیزتری را نمایش می‌دهد که بیشتر مناسب کاربر نهایی است. - -در پایتون برخلاف برخی از زبان‌ها نوع کاراکتر یا ``char`` وجود ندارد؛ در این زبان یک کاراکتر چیزی جز یک رشته با طول یک نیست. - -در پایتون می‌توان از نمادهای نقل قول در داخل یکدیگر نیز بهره برد؛ در این شرایط تنها می‌بایست نماد نقل قول داخلی با بیرونی متفاوت باشد. چنانچه می‌خواهید از نماد نقل قول یکسانی استفاده نمایید، باید از کاراکترهای Escape کمک بگیرید که در ادامه بررسی خواهند شد:: - - >>> "aaaaaa 'bbb'" - "aaaaaa 'bbb'" - >>> 'aaaaaa "bbb"' - 'aaaaaa "bbb"' - - >>> "I'm cold!" - "I'm cold!" - -:: - - >>> 'I\'m cold!' - "I'm cold!" - -از درس پیش با Docstring آشنا شده‌ایم؛ در کاربردی دیگر از سه نماد نقل قول ``"""`` یا ``'''`` برای ایجاد شی رشته نیز استفاده می‌شود. مزیت این نوع رشته در این است که می‌توان متن آن را به سادگی در چند سطر و با هر میزان تورفتگی دلخواه نوشت؛ این موضوع در زمان‌هایی که قصد استفاده از کدهای خاص به مانند HTML در برنامه خود داشته باشیم، بسیار مفید خواهد بود:: - - >>> a = """Python""" - >>> a - 'Python' - -:: - - >>> html = """ - ... - ... - ... - ... Page Title - ... - ... - ...

      This is a Heading.

      - ...

      This is a paragraph.

      - ... - ... - ... """ - >>> print(html) - - - - - Page Title - - -

      This is a Heading.

      -

      This is a paragraph.

      - - - - >>> - - - - -رشته به عنوان دنباله‌ (Sequence) -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -برخی از انواع شی پایتون به مانند رشته، تاپل (tuple)، لیست (list) و... با عنوان **دنباله** (Sequence) نیز شناخته می‌شوند. دنباله ویژگی‌هایی دارد که در اینجا به کمک نوع رشته بررسی خواهیم کرد. رشته در واقع یک **دنباله** از کاراکترهاست در نتیجه می‌توان هر یک از اعضای این دنباله را با استفاده از اندیس (Index) موقعیت آن دستیابی نمود؛ اندیس اعضا از سمت چپ با عدد صفر شروع و به سمت راست یک واحد یک واحد افزایش می‌یابد. به عنوان نمونه برای شی ``'Python Strings'`` می‌توانیم شمای اندیس‌گذاری را به صورت پایین در نظر بگیریم:: - - P y t h o n S t r i n g s - - - - - - - - - - - - - - - - 0 1 2 3 4 5 6 7 ... 13 - -برای دستیابی اعضای یک دنباله با نام ``seq`` از الگو ``[seq[i`` که ``i`` اندیس عضو مورد نظر است؛ استفاده می‌شود:: - - >>> a = "Python Strings" - >>> a[0] - 'P' - >>> a[7] - 'S' - >>> a[6] - ' ' - -.. rubric:: چند نکته: - -* الگو ``[seq[-i`` اعضا دنباله را از **سمت راست** پیمایش می کند؛ اندیس سمت راست ترین عضو ``1-`` است و به ترتیب به سمت چپ یک واحد یک واحد کاهش می‌یابد. -* الگو ``[seq[i:j`` اعضایی از دنباله را که در بازه‌ای از اندیس ``i`` تا قبل از اندیس ``j`` هستند را دستیابی می‌کند. برای بیان نقاط «از ابتدا» و «تا انتها» می‌توان به ترتیب ``i`` و ``j`` را ذکر نکرد. -* الگو ``[seq[i:j:k`` همانند قبلی است با این تفاوت که ``k`` اندازه گام پیمایش اعضا را تعیین می‌کند. -* با استفاده از تابع ``()len`` می‌توان تعداد اعضای یک دنباله را به دست آورد [`اسناد پایتون `__]. - -:: - - >>> a = "Python Strings" - - >>> len(a) - 14 - - >>> a[-2] - 'g' - - >>> a[2:4] - 'th' - >>> a[7:] - 'Strings' - >>> a[:6] - 'Python' - >>> a[:-1] - 'Python String' - - >>> a[2:12:3] - 'tntn' - >>> a[:6:2] - 'Pto' - >>> a[7::4] - 'Sn' - - >>> a[-1] - 's' - >>> a[len(a)-1] - 's' - - - -باید توجه داشت که یک شی رشته جزو انواع immutable پایتون است و مقدار (یا اعضا دنباله) آن را نمی‌توان تغییر داد؛ برای مثال نمی‌توان شی ``'Python Strings'`` به ``'Python-Strings'`` تغییر داد - برای این کار تنها می‌بایست یک شی جدید ایجاد کرد:: - - >>> a = "Python Strings" - >>> a[6] = "-" - Traceback (most recent call last): - File "", line 1, in - TypeError: 'str' object does not support item assignment - - -عملگرها برای رشته -~~~~~~~~~~~~~~~~~~~~ - -با رشته‌ها نیز می‌توان از عملگرهای ``+`` (برای پیوند رشته‌ها) و ``*`` (برای تکرار رشته‌ها) بهره برد:: - - >>> a = "Python" + " " + "Strings" - >>> a - 'Python Strings' - - >>> "-+-" * 5 - '-+--+--+--+--+-' - -برای پیوند می‌توان از عملگر ``+`` صرف نظر کرد و تنها با کنار هم قرار دادن رشته‌ها آن‌ها را پیوند داد؛ البته این روش در مواقعی که از متغیر استفاده می‌کنید درست نمی‌باشد:: - - >>> "Python " "Programming " "Language" - 'Python Programming Language' - -:: - - >>> a, b, c = "Python ", "Programming ", "Language" - >>> a + b + c - 'Python Programming Language' - -برای بررسی برابر بودن **مقدار** دو رشته مانند دیگر اشیا می‌توان از عملگر ``==`` استفاده کرد:: - - >>> a = "py" - >>> b = "PY" # Uppercase - >>> a == b - False - -از عملگرهای عضویت هم می‌توان برای بررسی وجود کاراکتر یا رشته‌ای درون رشته‌ای دیگر استفاده کرد:: - - >>> "n" in "python" - True - >>> "py" not in "python" - False - - - -کمی جلوتر خواهید دید که از عملگر ``%`` نیز برای قالب‌بندی رشته‌ها استفاده می‌گردد. - -کاراکترهای Escape -~~~~~~~~~~~~~~~~~~ - -به صورت پیش‌فرض تعدادی کاراکتر خاص تعریف شده است که می‌توان آن‌ها را درون رشته‌ها بکار برد. تمام این کاراکترها با یک ``\`` آغاز می‌شوند به همین دلیل گاهی نیز به نام Backslash Characters خوانده می‌شوند. در واقع این کاراکترها امکانی برای درج برخی دیگر از کاراکترها هستند که نمی‌توان آن‌ها را به سادگی توسط صفحه‌کلید وارد کرد. برای نمونه یکی از کاراکترهای Escape رایج ``n\`` است که بیانگر کاراکتری با کد اسکی 10 (LF) به نام newline می‌باشد؛ ``n\`` در هر جایی از رشته (یا متن) که درج گردد در هنگام چاپ سطر جاری را پایان می‌دهد و ادامه رشته (یا متن) از سطر جدید آغاز می‌‌شود [`اسناد پایتون `__]:: - - >>> a = "Python\nProgramming\nLanguage" - >>> a - 'Python\nProgramming\nLanguage' - >>> print(a) - Python - Programming - Language - >>> - -برخی از این کاراکترها به شرح پایین است: - -* ``n\`` - پایان سطر جاری و رفتن به سطر جدید -* ``t\`` - برابر کد اسکی 9 (TAB): درج هشت فاصله (کلید Space) -* ``uxxxx\`` - درج یک کاراکتر یونیکد 16 بیتی با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"u067E\"`` -* ``Uxxxxxxxx\`` - درج یک کاراکتر یونیکد 32 بیتی با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"U0001D11E\"`` -* ``ooo\`` - درج یک کاراکتر با استفاده از مقدار اُکتال (پایه هشت) آن : ``"123\"`` -* ``xhh\`` - درج یک کاراکتر با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"x53\"`` -* ``'\`` - درج یک کاراکتر ``'`` -* ``"\`` - درج یک کاراکتر ``"`` -* ``\\`` - درج یک کاراکتر ``\`` - -این ویژگی رشته‌ها گاهی موجب مشکل می‌شود؛ فرض کنید می‌خواهیم آدرس فایلی از سیستم عامل ویندوز را چاپ نماییم:: - - >>> fpath = "C:\new\text\sample.txt" - - >>> print(fpath) - C: - ew ext\sample.txt - -برای حل مشکل نمونه کد بالا می‌توان هر جا که نیاز به ``\`` است از ``\\`` استفاده کرد: ``"C:\\new\\text\\sample.txt"``. ولی راهکار جامع‌تر ایجاد «**رشته‌های خام**» (Raw Strings) است؛ در این نوع رشته‌، کاراکترهای Escape بی‌اثر هستند. رشته خام با افزوده شدن یک حرف ``r`` یا ``R`` به ابتدای یک رشته معمولی ایجاد می‌گردد:: - - >>> fpath = r"C:\new\text\sample.txt" - >>> print(fpath) - C:\new\text\sample.txt - - -تبدیل کد به کاراکتر و برعکس -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -می‌دانیم برای اینکه کامپیوتر بتواند کاراکتر‌ها را درک کند نیاز به سیستم‌هایی است که آن‌ها را برای تبدیل به کدهای پایه دو کدگذاری کند؛ به مانند سیستم اَسکی (ASCII) یا سیستم‌های جامع‌تری مانند UTF-8 که تحت استاندارد یونیکد (Unicode) در دسترس است. گاهی نیاز است به این کدها دسترسی داشته باشیم و با کاراکترها بر اساس آن‌ها کار کنیم؛ برای این منظور در پایتون می‌توان از دو تابع ``()ord`` (تبدیل کد به کاراکتر) [`اسناد پایتون `__] و ``()chr`` (تبدیل کاراکتر به کد) [`اسناد پایتون `__] استفاده کرد. تابع ``()ord`` یک رشته تک کاراکتری را گرفته و یک عدد (در پایه ده) که بیانگر کد کاراکتر مورد نظر می‌باشد را برمی‌گرداند. تابع ``()chr`` نیز کد کاراکتری (که می‌بایست عددی در پایه ده باشد) را گرفته و کاراکتر مربوط به آن را برمی‌گرداند:: - - >>> # Python 3.x - GNU/Linux - - >>> ord("A") - 65 - >>> chr(65) - 'A' - - >>> int("067E", 16) # Hexadecimal to Decimal - 1662 - >>> chr(1662) # Unicode Character: 1662 -> 067E -> 'پ' - 'پ' - >>> ord(_) # _ is result of the last executed statement = 'پ' - 1662 - - >>> ord("\U0001D11E") - 119070 - >>> chr(_) - '𝄞' - - -از آنجا که **نسخه‌های 2x** پایتون به صورت پیش‌فرض از کدگذاری تحت استاندارد یونیکد پشتیبانی نمی‌کنند؛ برای گرفتن کاراکتر یونیکد (کاراکترهای خارج از محدوده اَسکی) از کد آن، می‌بایست از تابع جداگانه‌ای با نام ``()unichr`` [`اسناد پایتون `__] استفاده نماییم:: - - >>> # Python 2.x - GNU/Linux - - >>> ord("a") - 97 - >>> chr(97) - 'a' - - >>> unichr(1662) - u'\u067e' - >>> print _ - پ - - >>> ord(u"\U0001D11E") - 119070 - >>> unichr(_) - u'\U0001d11e' - >>> print _ - 𝄞 - - - -تبدیل به نوع رشته -~~~~~~~~~~~~~~~~~~~~ - -برای تبدیل اشیایی از نوع دیگر به نوع رشته؛ کلاس ``()str`` [`اسناد پایتون `__] و تابع ``()repr`` [`اسناد پایتون `__] وجود دارد. کلاس ``()str`` یک نمونه غیر رسمی (informal) از نوع شی رشته را برمی‌گرداند؛ غیر رسمی از این جهت که توسط آن جزییات شی رشته پنهان می‌شود. اما تابع ``()repr`` یک نمونه رسمی (official) از نوع رشته پایتون را برمی‌گرداند. کمی قبل‌تر راجب تفاوت خروجی ``print`` و حالت تعاملی صحبت کردیم؛ در واقع خروجی ``()str`` مناسب برای چاپ است و همانند ``print`` جزییات این نوع شی را ارایه نمی‌دهد در حالی که ``()repr`` به مانند حالت تعاملی یک ارايه (representation) کامل از شی رشته را برمی‌گرداند:: - - >>> str(14) - '14' - >>> repr(14) - '14' - - >>> str(True) - 'True' - >>> repr(False) - 'False' - -:: - - >>> a = "Python Strings" - - >>> str(a) - 'Python Strings' - >>> repr(a) - "'Python Strings'" - - >>> print(str(a)) - Python Strings - >>> print(repr(a)) - 'Python Strings' - -همچنین به جای این دو می‌توانید از متدهای ``()__str__`` و ``()__repr__`` استفاده نمایید:: - - >>> a = 10 - >>> a.__str__() - '10' - - -قالب‌بندی رشته‌ (String Formatting) -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -قالب‌بندی امکانی برای جایگزین کردن یک یا چند مقدار (به بیان بهتر: شی) - گاهی همراه با اعمال تغییر دلخواه - درون یک رشته است که به دو شکل در پایتون پیاده‌سازی می‌گردد [`اسناد پایتون `__]: - -۱. قالب سنتی - با الگو ``(s..." % (values%..."`` - - از دو بخش تشکیل شده است؛ بخش سمت چپ عملگر ``%``، رشته‌ای را مشخص می‌کند که شامل یک یا چند کد جایگذاری شی می‌باشد - کدهای جایگذاری همگی با یک کاراکتر ``%`` شروع می‌شوند؛ مانند: ``s%`` - و در سمت راست آن شی‌هایی برای جایگزین شدن در رشته، داخل پرانتز قرار دارد؛ این اشیا به ترتیب از سمت چپ درون رشته جایگذاری می‌گردند:: - - >>> "Python is %s to learn if you know %s to start!" % ("easy", "where") - 'Python is easy to learn if you know where to start!' - - برخی از کدهای جایگذاری به شرح پایین است: - - * ``s%`` - جایگزینی در قالب یک رشته به شکل خروجی کلاس ``()str`` - * ``r%`` - جایگزینی در قالب یک رشته به شکل خروجی تابع ``()repr`` - * ``c%`` - جایگزینی در قالب یک کاراکتر: یک عدد صحیح که نشانگر کد کاراکتر می‌باشد را به کاراکتر یونیکد تبدیل کرده و درون رشته قرار می دهد. - - :: - - >>> "%r is a %s language." % ("Python", "programming") - "'Python' is a programming language." - - >>> er = 1427 - >>> "Error %s!" % (er) - 'Error 1427!' - - >>> "A, B, C, ... Y, %c" % (90) - 'A, B, C, ... Y, Z' - - * ``d%`` یا ``i%`` - جایگزینی در قالب یک عدد صحیح در پایه ده - * ``o%`` - جایگزینی در قالب یک عدد صحیح در پایه هشت - * ``x%`` - جایگزینی در قالب یک عدد صحیح در پایه شانزده با حروف کوچک - * ``X%`` - جایگزینی در قالب یک عدد صحیح در پایه شانزده با حروف بزرگ - - :: - - >>> "4 + 4 == %d" % (2*4) - '4 + 4 == 8' - - >>> "%d" % (0b0110) - '6' - - >>> "%d" % (12.6) - '12' - - >>> "int('%o', 8) == %d" % (0o156, 0o156) - "int('156', 8) == 110" - - >>> "15 == %X in HEX" % (15) - '15 == F in HEX' - - - - - * ``f%`` - جایگزینی در قالب یک عدد ممیز شناور (دقت پیش‌فرض: ۶) در پایه ده - * ``F%`` - همانند ``f%`` ؛ با این تفاوت که ``nan`` و ``inf`` را به شکل ``NAN`` و ``INF`` درج می‌کند. - * ``e%`` - جایگزینی در قالب یک عدد ممیز شناور به شکل نماد علمی با حرف کوچک - * ``E%`` - جایگزینی در قالب یک عدد ممیز شناور به شکل نماد علمی با حرف بزرگ - - :: - - >>> "%f" % (12.526) - '12.526000' - - >>> "%f" % (122e-3) - '0.122000' - - >>> "%E" % (12.526) - '1.252600E+01' - - همچنین این الگو را می‌توان با استفاده از یک شی دیکشنری - این نوع شی در بخش دوم درس انواع شی بررسی می‌گردد - پیاده‌سازی نمود. در این شیوه اشیا با استفاده از کلید جایگذاری می‌گردند و دیگر ترتیب آن‌ها اهمیتی ندارد. به نمونه کد پایین توجه نمایید:: - - >>> '%(qty)d more %(product)s' % {'product': 'book', 'qty': 1} - '1 more book' - - - >>> reply = """ - ... Greetings... - ... Hello %(name)s! - ... Your age is %(age)s - ... """ - >>> values = {'name': 'Bob', 'age': 40} - >>> print(reply % values) - - Greetings... - Hello Bob! - Your age is 40 - - >>> - - در اصل می‌توان برای بخش سمت چپ این قالب، ساختاری مانند پایین را در نظر گرفت:: - - %[(keyname)][flags][width][.precision]typecode - - - * در هر استفاده وجود هر یک از []ها اختیاری است یا بستگی به مورد استفاده دارد. - * (keyname) - درج کلید داخل پرانتز - در مواقع استفاده از شی دیکشنری آورده می‌شود. - * flags - می‌تواند یکی از سه نماد ``+``، ``−`` و ``0`` باشد. ``+`` موجب درج علامت عدد می‌شود (علامت اعداد منفی به صورت پیش‌فرض درج می‌گردد؛ این علامت بیشتر برای درج علامت اعداد مثبت به کار می‌رود)، ``−`` موجب چپ‌چین شدن مقدار می‌گردد (حالت پیش‌فرض راست‌چین است) و ``0`` تعیین می‌کند که فضای خالی اضافی با صفر پر گردد (در حالت پیش‌فرض Space گذاشته می‌شود). - * width - اندازه رشته را تعیین می‌کند؛ در مواردی که اندازه تعیین شده بیشتر از اندازه واقعی مقدار باشد، فضای اضافی را می‌توان با صفر یا فضای خالی (Space) پر کرد و البته زمانی که کمتر تعیین گردد، این گزینه نادیده گرفته می‌شود. - * precision. - در مورد اعداد ممیز شناور، دقت یا تعداد ارقام بعد از ممیز را تعیین می‌کند (دقت پیش‌فرض: ۶). در مواردی که تعداد تعیین شده کمتر از تعداد واقعی ارقام بعد ممیز باشد، عدد گِرد می‌گردد. به وجود ``.`` پیش از آن توجه نمایید. - * typecode - بیانگر همان حرف تعیین کننده نوع کد جایگذاری می‌باشد. - * به جای width و precision. می توان از ``*`` استفاده کرد که در این صورت عدد مربوط به آن‌ها نیز در بخش سمت راست آورده می‌شود و شی جایگزینی می‌بایست درست پس از آن ذکر گردد. این گزینه در مواقعی که لازم است این اعداد در طول اجرای برنامه تعیین گردند کاربرد دارد. - - - :: - - >>> "%6d" % (256) # typecode='d' width='6' - ' 256' - - >>> "%-6d" % (256) # typecode='d' width='6' flags='-' - '256 ' - - >>> "%06d" % (256) # typecode='d' width='6' flags='0' - '000256' - - >>> "%+d" % (256) # typecode='d' flags='+' - '+256' - - :: - - >>> "%10f" % (3.141592653589793) # typecode='f' width='10' - ' 3.141593' - - >>> "%10.4f" % (3.141592653589793) # typecode='f' precision='4' width='10' - ' 3.1416' - - >>> "%10.8f" % (3.141592653589793) # typecode='f' precision='8' width='10' - '3.14159265' - - >>> "%-10.0f" % (3.141592653589793) # typecode='f' precision='0' width='10' flags='-' - '3 ' - - :: - - >>> "%*d" % (5, 32) # typecode='d' width='5' - ' 32' - - >>> "%d %*d %d" % (1, 8, 8231, 3) - '1 8231 3' - - >>> "%f, %.2f, %.*f" % (1/3.0, 1/3.0, 4, 1/3.0) - '0.333333, 0.33, 0.3333' - - >>> n = """ - ... %15s : %-10s - ... %15s : %-10s - ... """ - >>> v = ("First name", "Richard", "Last name", "Stallman") - >>> print(n % v) - - First name : Richard - Last name : Stallman - - >>> - - - - - -۲. قالب جدید، فراخوانی متد ``()format`` - با الگو ``(format(values."...{}..."`` - - در این قالب که در نسخه‌های 2.6، 2.7 و 3x پایتون در دسترس است؛ اشیا، آرگومان‌های یک متد مشخص هستند و با استفاده اندیس موقعیت‌ یا نام آن‌ها داخل ``{}`` در رشته جایگذاری می‌گردند:: - - >>> '{0} {1} {2}'.format("Python", "Programming", "Language") - 'Python Programming Language' - - :: - - >>> reply = """ - ... Greetings... - ... Hello {name}! - ... Your age is {age} - ... """ - >>> print(reply.format(age=40, name='Bob')) - - Greetings... - Hello Bob! - Your age is 40 - - >>> - - :: - - >>> "{0} version {v}".format("Python", v="3.4") - 'Python version 3.4' - - .. caution:: - همانطور که در درس تابع‌ خواهیم آموخت؛ بدون نیاز به رعایت ترتیب می‌توان آرگومان‌ها را با انتساب مقدار مورد نظر به آن‌ها ارسال نمود. - - - با هر ترتیبی می‌توان اشیا را جایگذاری نمود:: - - >>> '{2}, {1}, {0}'.format('a', 'b', 'c') - 'c, b, a' - - از نسخه 2.7 و بالاتر چنانچه بخواهیم اشیا به ترتیبی که در آرگومان متد قرار دارد جایگذاری شوند؛ نیازی به ذکر اندیس یا نام آرگومان نمی‌باشد:: - - >>> '{}, {}, {}'.format('a', 'b', 'c') # 2.7+ only - 'a, b, c' - - با آوردن یک ``*`` پشت آرگومانی که یک شی دنباله است می‌توان اعضای آن را دستیابی نمود. البته چنانچه بخواهیم از آرگومان‌های دیگری نیز استفاده کنیم لازم است آن‌ها در ابتدای متد قرار داشته باشند که در این صورت شمارش اندیس از آن‌ها شروع می‌گردد؛ به نمونه کد پایین توجه نمایید:: - - >>> '{2}, {1}, {0}'.format(*'abc') - 'c, b, a' - - >>> '{2}, {1}, {0}'.format(*'python') - 't, y, p' - - >>> '{2}, {1}, {0}'.format('z', *'abc') - 'b, a, z' - - - بخش درون رشته این قالب نیز ساختاری مشابه پایین دارد:: - - {fieldname !conversionflag :formatspec} - - * fieldname - اندیس یا نام آرگومان است. - * conversionflag! - می‌تواند یکی از حروف ``r`` و ``s`` باشد که به ترتیب ``()repr`` و ``()str`` را بر روی شی فراخوانی می‌کنند. توجه داشته باشید که این حروف با ``!`` شروع می‌شوند:: - - >>> "repr() shows quotes: {!r}; str() doesn't: {!s}".format('test1', 'test2') - "repr() shows quotes: 'test1'; str() doesn't: test2" - - * formatspec: - چگونگی درج شی در رشته را تعیین می‌کند. با ``:`` شروع می‌شود و خود ساختاری به مانند پایین دارد:: - - [[fill]align][sign][#][0][width][,][.precision][typecode] - - * در هر استفاده وجود هر یک از []ها اختیاری است یا بستگی به مورد استفاده دارد. - * fill - می‌تواند هر کاراکتر قابل چاپی باشد - از این گزینه برای پر کردن فضای خالی که توسط width ایجاد گردیده، استفاده می‌شود. - * align - می‌تواند یکی از کاراکترهای ``<``، ``>`` یا ``^`` باشد که به ترتیب بیانگر حالت راست‌چین، چپ‌چین و وسط‌چین می‌باشند. width نیز پس از آن‌ها آورده می‌شود که میزان اندازه رشته را تعیین می‌کند. - - :: - - >>> '{0:<30}'.format('left aligned') # align='<' width='30' - 'left aligned ' - - >>> '{0:>30}'.format('right aligned') # align='>' width='30' - ' right aligned' - - >>> '{0:^30}'.format('centered') # align='^' width='30' - ' centered ' - - >>> '{0:*^30}'.format('centered') # align='^' width='30' fill='*' - '***********centered***********' - - * sign - برای نمایش علامت اعداد کاربرد دارد و می‌تواند یکی از نمادهای ``+``، ``−`` یا یک فضا خالی (Space) باشد. به این صورت که: ``+`` علامت تمام اعداد مثبت و منفی را درج می‌کند و ``−`` نیز تنها موجب درج علامت اعداد منفی می‌شود. در صورت استفاده از فضای خالی، علامت اعداد منفی درج شده ولی به جای علامت اعداد مثبت یک کاراکتر فضای خالی وارد می‌شود. - - :: - - >>> '{0:+f}; {1:+f}'.format(3.14, -3.14) # typecode='f' sign='+' - '+3.140000; -3.140000' - - >>> '{0:-f}; {1:-f}'.format(3.14, -3.14) # typecode='f' sign='-' - '3.140000; -3.140000' - - >>> '{0: f}; {1: f}'.format(3.14, -3.14) # typecode='f' sign=' ' - ' 3.140000; -3.140000' - - * برخلاف قالب سنتی، می‌توان تبدیل پایه دو را هم داشته باشیم. تبدیل پایه در این قالب با استفاده از حروف ``b`` (پایه دو)، ``o`` (حرف اُ کوچک - پایه هشت) و ``x`` یا ``X`` (پایه شانزده) انجام می‌شود. چنانچه یک نماد ``#`` به پیش از آن‌ها افزوده شود، پیشوند پایه نیز درج می‌گردد:: - - >>> "int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}".format(42) - 'int: 42; hex: 2a; oct: 52; bin: 101010' - - >>> "int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}".format(42) - 'int: 42; hex: 0x2a; oct: 0o52; bin: 0b101010' - - * با استفاده از یک ``,`` (کاما Comma) می‌توان یک عدد را سه رقم سه رقم از سمت راست جدا نمود:: - - >>> '{0:,}'.format(1234567890) - '1,234,567,890' - - * بخش‌هایی از قالب سنتی در این قالب نیز تعریف شده‌ است. گزینه‌های precision ،typecode. و width به همان صورتی هستند که در قالب سنتی بیان گشته است. البته موارد typecode کمی کمتر است؛ به عنوان نمونه در این قالب کد ``i`` وجود ندارد و تنها می‌توان از ``d`` برای اعداد صحیح در پایه ده استفاده کرد:: - - >>> '{0:06.2f}'.format(3.14159) # width='6' precision='.2' typecode='f' and [0] - '003.14' - >>> '{0:^8.2f}'.format(3.14159) # align='^' - ' 3.14 ' - - * برای بیان درصد می‌توان از ``%`` به جای ``f`` استفاده کرد:: - - >>> points = 19.5 - >>> total = 22 - >>> 'Correct answers: {0:.2%}'.format(points/total) - 'Correct answers: 88.64%' - - - * در قالب سنتی با استفاده از ``*`` می‌توانستیم گزینه‌های خود را در طرف دیگر مقداردهی نماییم؛ در قالب جدید برای این منظور می‌توان مانند کاری که برای جایگذاری اشیا انجام می‌دادیم، از ``{ }`` استفاده کرده و مقدار گزینه‌ها را در جایگاه آرگومان متد تعریف نماییم:: - - >>> text = "Right" - >>> align = ">" - >>> '{0:{fill}{align}16}'.format(text, fill=align, align=align) - '>>>>>>>>>>>Right' - - -f-string -~~~~~~~~~~ - -از نسخه پایتون 3.6 یک امکان جدید و بسیار جالب در بحث قالب‌بندی رشته‌ها ارايه شده است که با عنوان ``f-string`` شناخته می‌شود [`PEP 498 `__]. - -ساختار همان ساده شده حالت ``()str.format`` می‌باشد:: - - >>> name = "Saeid" - >>> age = 32 - >>> f"Hello, {name}. You are {age}." - 'Hello, Saeid. You are 32.' - >>> - -یعنی اگر در ابتدای یک متن، حرف ``f`` یا ``F`` قرار دهیم، آنگاه می‌توانیم متغیرها یا عبارات خود را مستقیم در داخل آن - با استفاده از ``{}`` - قرار بدهیم:: - - >>> f"{2 * 37}" - '74' - -بدیهی است که متغیرها (- یا نتیجه حاصل عبارات) یا اشیای مورد استفاده در شیوه **f-string** در نهایت برای قرار گرفتن درون متن یا رشته مورد نظر می‌بایست به نوع رشته تبدیل شوند. در این شیوه به صورت پیش‌فرض متد ``()__str__`` برای تبدیل به نوع رشته فراخوانی می‌شود ولی می‌توان با قرار دادن نشانگر ``r!`` در انتهای شی مورد نظر، تعیین کرد که متد ``()__repr__`` فراخوانی شود:: - - >>> name = 'Saeid' - >>> print(f'My name is {name}') - My name is Saeid - >>> print(f'My name is {name!r}') - My name is 'Saeid' - >>> - -در این شیوه می‌توان از نماد ``{}`` در خارج از اصول قالب‌بندی استفاده کرد ولی باید توجه داشت که هر دو نماد ``{{}}`` به عنوان یک ``{}`` در نظر گرفته می‌شود. وجود سه ``{{{}}}`` نیز در حکم همان دو تا می‌باشد:: - - >>> f'{{{{32}}}}' - '{{32}}' - >>> f'{{{32}}}' - '{32}' - >>> f'{{32}}' - '{32}' - >>> f'{32}' - '32' - -:: - - >>> print(f'{{My name}} is {name}') - {My name} is Saeid - - >>> print(f'{{My name}} is {{name}}') # NOTE! - {My name} is {name} - - >>> print(f'{{My name}} is {{{name}}}') - {My name} is {Saeid} - - >>> print(f'{{My name}} is {{{{name}}}}') # NOTE! - {My name} is {{name}} - - - -در نمونه کد پایین یک تابع را مستقیم در داخل متن موجود فراخوانی می‌کنیم:: - - >>> def to_lowercase(input): - ... return input.lower() - ... - >>> - >>> name = "Eric Idle" - >>> - >>> f"{to_lowercase(name)} is funny." - 'eric idle is funny.' - -:: - - >>> f"{name.lower()} is funny." - 'eric idle is funny.' - >>> - - -همچنین می‌توانیم هر یک از اشیا مورد استفاده در درون متن را با شیوه خاص آن شی، با قرار دادن یک ``:`` به صورت جداگانه قالب‌بندی نماییم:: - - - >>> a_float_number = 5.236501 - >>> print(f'{a_float_number:.4f}') - 5.2365 - >>> print(f'{a_float_number:.2f}') - 5.24 - >>> - -:: - - >>> a_int_number = 16 - >>> print(f'{a_int_number:05d}') - 00016 - >>> - -:: - - >>> import datetime - >>> now = datetime.datetime.now() - >>> print(f'{now:%Y-%m-%d %H:%M}') - 2019-10-20 10:37 - -در دروس آینده در مورد ماژول ``datetime`` صحبت خواهیم کرد. [`اسناد پایتون `__] - - - - - - - -برخی از متدهای کاربردی یک شی رشته -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -* ``()capitalize`` [`اسناد پایتون `__] - یک کپی از رشته که نخستین حرف آن به صورت بزرگ (Capital) نوشته شده است را برمی‌گرداند:: - - >>> a = "python string methods" - >>> a.capitalize() - 'Python string methods' - -* ``(center(width`` [`اسناد پایتون `__] - یک عدد صحیح که تعیین کننده اندازه رشته است گرفته و رشته را به صورت وسط‌چین شده درون این بازه برمی‌گرداند. در صورتی که اندازه تعیین شده کوچکتر از اندازه واقعی رشته (``(len(string``) باشد؛ رشته بدون تغییر بازگردانده می‌شود. این متد یک آرگومان اختیاری هم دارد که توسط آن می‌توان کاراکتری را برای پر کردن فضای خالی تعیین نمود:: - - >>> a = "python" - - >>> a.center(25) - ' python ' - - >>> a.center(25, "-") - '----------python---------' - - دو متد مشابه دیگر با الگو ``(rjust(width`` [`اسناد پایتون `__] و ``(ljust(width`` [`اسناد پایتون `__] نیز هستند که به ترتیب برای راست‌چین و چپ‌چین کردن متن رشته استفاده می‌شوند:: - - >>> a.rjust(25) - ' python' - - >>> a.ljust(25, ".") - 'python...................' - - -* ``(count(sub`` [`اسناد پایتون `__] - یک رشته را گرفته و تعداد وقوع آن در رشته اصلی را برمی‌گرداند. این متد دو آرگومان اختیاری نیز دارد ``[[start[, end,]`` که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: - - >>> a = "python string methods" - - >>> a.count("t") - 3 - >>> a.count("tho") - 2 - >>> a.count("tho", 15) # start=15 - 1 - >>> a.count("tho", 0, len(a)-1) # start=0 end=20 -> len(a)==21 : 0 ... 20 - 2 - -* ``(endswith(suffix`` [`اسناد پایتون `__] - یک رشته را گرفته و چنانچه رشته اصلی با آن پایان یافته باشد مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند. این متد دو آرگومان اختیاری نیز دارد ``[[start[, end,]`` که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: - - >>> a = "Wikipedia, the free encyclopedia." - - >>> a.endswith(",") - False - >>> a.endswith(",", 0 , 10) # start=0 end=10 - True - >>> a.endswith("pedia.", 14) # start=14 - True - -* ``(find(sub`` [`اسناد پایتون `__] - یک رشته را گرفته و اندیس شروع آن را برای **نخستین** وقوع درون رشته اصلی برمی‌گرداند؛ در صورتی که آرگومان دریافتی در رشته اصلی یافت نشود مقدار ``1-`` برگردانده می‌شود. این متد دو آرگومان اختیاری نیز دارد ``[[start[, end,]`` که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: - - >>> a = "python programming language" - - >>> a.find("language") - 19 - >>> a.find("p") - 0 - >>> a.find("p", 6) # start=6 - 7 - >>> a.find("g", 18, len(a)-1) # start=18 end=27-1 - 22 - >>> a.find("saeid") - -1 - - متد مشابه دیگری نیز با الگو ``(rfind(sub`` [`اسناد پایتون `__] وجود دارد؛ ولی با این تفاوت که اندیس شروع آرگومان دریافتی را برای **آخِرین** وقوع درون رشته اصلی برمی‌گرداند:: - - >>> a.rfind("p") - 7 - >>> a.rfind("p", 6) - 7 - >>> a.rfind("g", 18, len(a)-1) - 25 - >>> a.rfind("saeid") - -1 - - در صورتی که نیازی به اندیس ندارید و تنها می‌خواهید وجود یک رشته را درون رشته‌ای مشخص بررسی نمایید؛ از عملگر ``in`` استفاده کنید:: - - >>> "language" in a - True - >>> "p" in a - True - >>> "saeid" in a - False - -* ``(index(sub`` [`اسناد پایتون `__] - همانند متد ``(find(sub`` است با این تفاوت که اگر آرگومان دریافتی در رشته اصلی یافت نشود یک خطا ``ValueError`` را گزارش می‌دهد:: - - >>> a = "python programming language" - - >>> a.index("python") - 0 - >>> a.index("python", 6) - Traceback (most recent call last): - File "", line 1, in - ValueError: substring not found - - متد دیگری نیز با الگو ``(rindex(sub`` [`اسناد پایتون `__] وجود دارد که مانند ``(rfind(sub`` عمل می‌کند ولی با این تفاوت که اگر آرگومان دریافتی در رشته اصلی یافت نشود یک خطا ``ValueError`` را گزارش می‌دهد:: - - >>> a.rindex("g", 18, len(a)-1) - 25 - - - -* ``(join(iterable`` [`اسناد پایتون `__] - یک دنباله با اعضایی تمام از نوع رشته را به صورت آرگومان دریافت می‌کند و با استفاده از رشته اصلی اعضای آن‌ را به یکدیگر پیوند داده و برمی‌گرداند:: - - >>> a = "-*-" - - >>> a.join("python") - 'p-*-y-*-t-*-h-*-o-*-n' - - >>> a.join(['p', 'y', 't', 'h', 'o', 'n']) # get a list of strings - 'p-*-y-*-t-*-h-*-o-*-n' - -* ``(split(sep`` [`اسناد پایتون `__] - یک کاراکتر را دریافت کرده و رشته را بر اساس آن از هم جدا کرده و به صورت یک شی لیست (list) برمی‌گرداند. این متد یک آرگومان اختیاری نیز دارد که می توان تعداد عمل جداسازی را تعیین نمود:: - - >>> a = "p-y-t-h-o-n" - - >>> a.split() - ['p-y-t-h-o-n'] - - >>> a.split("-") - ['p', 'y', 't', 'h', 'o', 'n'] - - >>> a.split("-", 2) - ['p', 'y', 't-h-o-n'] - - >>> '1,2,,3,'.split(',') - ['1', '2', '', '3', ''] - - متد مشابه دیگری نیز با الگو ``(rsplit(sep`` [`اسناد پایتون `__] وجود دارد ولی با این تفاوت که رشته را از سمت راست پیمایش می‌کند:: - - >>> a.rsplit("-") - ['p', 'y', 't', 'h', 'o', 'n'] - - >>> a.rsplit("-", 2) - ['p-y-t-h', 'o', 'n'] - -* ``(replace(old, new`` [`اسناد پایتون `__] - دو رشته به صورت آرگومان دریافت می‌کند؛ در تمام رشته اصلی بخش‌هایی که برابر مقدار آرگومان ``old`` هستند را با آرگومان ``new`` جایگزین می‌کند و سپس رشته جدید را برمی‌گرداند. این متد یک آرگومان اختیاری نیز دارد که می‌توان تعداد عمل جایگزینی را تعیین نمود:: - - >>> a = "He has a blue house and a blue car!" - - >>> a.replace("blue", "red") - 'He has a red house and a red car!' - - >>> a.replace("blue", "red", 1) - 'He has a red house and a blue car!' - - -* ``()lower`` [`اسناد پایتون `__] - تمام حروف الفبا انگلیسی موجود در رشته را به حرف **کوچک** تبدیل می‌کند و برمی‌گرداند:: - - >>> "CPython-3.4".lower() - 'cpython-3.4' - - - برعکس؛ متد ``()upper`` [`اسناد پایتون `__] تمام حروف الفبا انگلیسی موجود در رشته را به حرف **بزرگ** تبدیل می‌کند و برمی‌گرداند:: - - >>> "CPython-3.4".upper() - 'CPYTHON-3.4' - -* ``()islower`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یکی از حروف الفبا انگلیسی بوده و تمام حروف الفبا آن به صورت **کوچک** باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: - - >>> "python".islower() - True - >>> "python-3.4".islower() - True - >>> "Python".islower() - False - - - برعکس؛ متد ``()isupper`` [`اسناد پایتون `__] اگر رشته حداقل شامل یکی از حروف الفبا انگلیسی بوده و تمام حروف الفبا آن به صورت **بزرگ** باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: - - >>> "python".isupper() - False - >>> "Python".isupper() - False - >>> "PYTHON".isupper() - True - >>> "PYTHON-3.4".isupper() - True - - -* ``()isalpha`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از حروف الفبا انگلیسی (کوچک یا بزرگ) باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: - - >>> "python".isalpha() - True - >>> "python34".isalpha() - False - >>> "python 34".isalpha() - False - - -* ``()isalnum`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از عددهای ``0`` تا ``9`` یا حروف الفبا انگلیسی (کوچک یا بزرگ) باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: - - >>> "python34".isalnum() - True - >>> "python3.4".isalnum() - False - >>> "python-34".isalnum() - False - - -* ``()isdigit`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از عددهای ``0`` تا ``9`` باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: - - >>> "python34".isdigit() - False - >>> "34".isdigit() - True - >>> "3.4".isdigit() - False - - - -انواع رشته -~~~~~~~~~~~~ - -چگونگی ارايه نوع رشته از موارد اختلاف اساسی در نسخه‌های 2x و 3x پایتون است. - -در **نسخه‌های 2x** یک نوع جامع ``str`` که محدود به کدگذاری ASCII است؛ هر دو قالب رشته‌های معمولی و داده‌های باینری (متن‌های کدگذاری شده، فایل‌های مدیا و پیام‌های شبکه) را در بر می‌گیرد - رشته باینری با یک حرف b در آغاز آن‌ مشخص می‌گردد. در این سری از نسخه‌ها نوع دیگری نیز با نام ``unicode`` وجود دارد که رشته‌های خارج از محدوده کدگذاری ASCII را در بر می‌گیرد؛ برای ایجاد این نوع اشیا می‌بایست رشته مورد نظر با یک حرف ``u`` آغاز گردد:: - - >>> # python 2.x - - >>> a = "python" - >>> type(a) - - - >>> a = b"python" - >>> type(a) - - - >>> a = u"python" - >>> type(a) - - -علاوه‌بر قرار دادن حرف ``u`` در ابتدای رشته برای ایجاد رشته یونیکد، می‌توان از تابع ``()unicode`` [`اسناد پایتون `__] نیز با مشخص کردن سیستم کدگذاری استفاده کرد:: - - >>> # python 2.x - - >>> u = unicode("python", "utf-8") - - >>> type(u) - - - >>> u - u'python' - - >>> print u - python - - >>> fa = u"پ" - >>> fa - u'\u067e' - >>> print fa - پ - - - -بنابراین انواع رشته در پایتون 2x: - -* رشته‌های معمولی (محدود به کدگذاری اَسکی) + داده‌های باینری: ``str`` -* رشته‌های یونیکد : ``unicode`` - -ولی در **نسخه‌های 3x** رشته توسط سه نوع ارایه می‌گردد. اکنون کدگذاری پیش‌فرض کاراکترها در پایتون از ASCII بسیار گسترده‌تر شده است و از استاندارد یونیکد پشتیبانی می‌کند بنابراین نوع ``str`` به تنهایی می‌تواند تقریبا تمامی کاراکترهای دنیا را شامل شود و دیگر نیازی به نوع جداگانه و استفاده از حرف ``u`` برای مشخص کردن رشته‌های یونیکد نیست؛ بنابراین در این نسخه‌ها برای تمام رشته‌های اسکی و یونیکد تنها یک نوع ``str`` ارایه شده است. تغییر دیگری نیز رخ داده که نوع داده باینری از رشته‌های معمولی جدا شده است و توسط نوع جدیدی با نام ``bytes`` ارایه می‌گردد:: - - >>> # Python 3.x - - >>> a = "python" - >>> type(a) - - - >>> a = b"python" - >>> type(a) - - - >>> a = u"python" - >>> type(a) - - - -بنابراین انواع رشته در پایتون 3x: - -* رشته‌های معمولی (اَسکی و یونیکد): ``str`` -* داده‌های باینری: ``bytes`` -* نوع تغییر پذیر (Mutable) برای داده‌های باینری: ``bytearray`` - این نوع در واقع یک دنباله تغییر پذیر از نوع ``bytes`` است که در نسخه‌های 2.6 و 2.7 نیز در دسترس است. - - -در پایتون 3x برای ایجاد نوع ``bytes`` علاوه‌بر حرف ``b`` می‌توان از کلاس ``()bytes`` [`اسناد پایتون `__] نیز استفاده کرد که در آرگومان این کلاس برای نوع رشته لازم است که سیستم کدگذاری آن را نیز مشخص نماییم؛ داده‌های عددی را نیز بهتر است به شکل یک شی لیست ارسال نماییم:: - - >>> # Python 3.x - -:: - - >>> b = b"python" - >>> b - b'python' - -:: - - >>> b = bytes("python", "utf-8") - >>> b - b'python' - - >>> c = bytes([97]) - >>> c - b'a' - -اکنون برای تبدیل نوع ``bytes`` به ``str`` نیاز به کدگشایی یا Decode کردن داده‌ها داریم؛ این کار را می‌توان با استفاده از متد ``()decode`` یا کلاس ``()str`` با مشخص کردن سیستم کدگشایی به انجام رساند:: - - >>> type(b) - - - >>> print(b) - b'python' - - >>> b.decode("utf-8") - 'python' - - >>> str(b, "utf-8") - 'python' - - -همانند کلاس ``()bytes`` این بار برای ایجاد نوع ``bytearray`` از کلاس ``()bytearray`` [`اسناد پایتون `__] استفاده می‌شود:: - - >>> # Python 3.x - - >>> b = bytearray("python", "utf-8") - - >>> b - bytearray(b'python') - - >>> print(b) - bytearray(b'python') - - >>> b[0] - 112 - >>> b[0] = 106 # 106='j' - - >>> b.decode("utf-8") - 'jython' - >>> str(b, "utf-8") - 'jython' - - - -| - ----- - -:emoji-size:`😊` امیدوارم مفید بوده باشه - -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ - - diff --git a/source/lessons/l07-numeric-types-in-python.rst b/source/lessons/l07-numeric-types-in-python.rst new file mode 100644 index 0000000..5ed21cc --- /dev/null +++ b/source/lessons/l07-numeric-types-in-python.rst @@ -0,0 +1,842 @@ +.. role:: emoji-size + +.. meta:: + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هفتم: انواع داده در پایتون، عددی + :keywords: آموزش انواع عددی در پایتون، اعداد صحیح (integer) در پایتون، ممیز شناور float و double در پایتون، آموزش اعداد مختلط در پایتون (Complex Numbers)، نوع بولین bool یا boolean در پایتون، آموزش نوع داده کسر (fractions) در پایتون، آموزش نوع داده دسیمال (decimal) در پایتون، ب م م در پایتون + + +.. _lesson-07.1: + +درس ۰۷: انواع داده در پایتون: عددی +=========================================================== + +.. figure:: /_static/pages/07-python-built-in-data-types-0.jpg + :align: center + :alt: انواع داده در پایتون: عددی + :class: page-image + + Photo by `Mick Haupt `__ + + +پایتون هر «نوع داده» (Data Type) را توسط یک کلاس ارایه می‌دهد؛ بنابراین هر داده یک نمونه یا یک شی از کلاسی مشخص است. هر چند برنامه‌نویس نیز می‌تواند با تعریف کلاس، نوع دلخواه خود را داشته باشد ولی در این درس می‌خواهیم درباره آن بخشی از انواع داده یا انواع شی‌ای که به شکل آماده (Built-in) در اختیار مفسر زبان پایتون قرار داده شده است صحبت کنیم. + +در این بخش از درس هفتم تنها به بررسی «انواع شی عددی» در پایتون پرداخته می‌شود و انواع باقی مانده دیگر توسط بخش‌های بعدی بررسی خواهند شد. + +با اینکه تلاش شده است جزییات کامل باشند ولی در برخی بخش‌ها مطالعه اسناد رسمی پایتون می‌تواند اطلاعات کامل‌تری را در اختیار شما قرار دهد. در مواقع بسیاری از تابع‌های آماده پایتون استفاده خواهد شد که ممکن است جزییاتی بیشتر از آنچه در این درس بیان می‌شود را داشته باشند؛ به همین دلیل لینک تعریف آن‌ها در اسناد پایتون نیز ارایه گشته است. نکته مهم در مطالعه این درس بررسی نمونه کدهاست که گاهی درک توضیحی که داده شده است بدون دقت در این نمونه کدها ناممکن خواهد بود. + + +:emoji-size:`✔` سطح: مقدماتی + +---- + +.. contents:: سرفصل‌ها + :depth: 2 + +---- + + +.. _python-numeric-types: + +انواع عددی +--------------- + + +در زبان پایتون دسته‌ای از انواع شی وجود دارد که برای کار با داده‌های عددی ایجاد گشته‌اند؛ از این جهت به عنوان «انواع عددی» (Numeric Types) شناخته می‌شوند. این انواع شی عبارتند از: + +* صحیح (Integer) +* ممیز شناور (Floating-Point) +* مختلط (Complex) +* دسیمال (Decimal) +* کسر (Fraction) +* بولی (Boolean) + +*در ادامه به بررسی هر یک خواهیم پرداخت.* + + +.. _python-integer-numbers: + +صحیح (Integer) +--------------------- + + +این نوع از اشیا تمام اعداد مثبت و منفی بدون «ممیز اعشار» را شامل می‌شوند؛ مانند: ``1234``، ``26-`` و... + +از نسخه 3.0 پایتون اعداد صحیح تنها در قالب یک نوع ``int`` (بدون محدودیت اندازه) ارایه می‌گردد و:: + + + >>> type(-3) + + + >>> a = 3 + >>> type(a) + + +اکنون در پایتون هیچ محدودیتی برای طول اعداد صحیح وجود ندارد، اما در صورت نیاز می‌توان با استفاده از ``sys.maxsize``، مقدار مرسوم برای بیشینه مقدار این دست از اعداد را به دست آورد:: + + >>> import sys + + >>> sys.maxsize + 9223372036854775807 + >>> type(_) + + + >>> type(sys.maxsize + 1) + + + +.. note:: + منظور از اندازه نامحدود اعداد این است که اندازه این اشیا تنها محدود به میزان حافظه‌ (Memory) آزاد بوده و تا هر اندازه‌ای که حافظه در دسترس باشد می‌توانند در محاسبات رشد داشته باشند. + +اعداد صحیح را می‌توان علاوه بر پایه ده؛ در پایه دو (Binary)، پایه هشت (Octal) و پایه شانزده (Hexadecimal) نیز در نظر گرفت. به این صورت که: + +* **اعداد پایه دو** می‌بایست با یک ``0b`` یا ``0B`` (صفر و حرف بی کوچک یا بزرگ) آغاز گردند؛ مانند: ``0b11`` که برابر عدد ``3`` در پایه ده است:: + + >>> a = 0b11 + >>> type(a) + + >>> a + 3 + + +* **اعداد پایه هشت** می‌بایست با یک ``0o`` یا ``0O`` (صفر و حرف اُ کوچک یا بزرگ) آغاز گردند؛ مانند: ``0o14`` که برابر عدد ``12`` در پایه ده است:: + + >>> a = 0o14 + >>> type(a) + + >>> a + 12 + +* **اعداد پایه شانزده** می‌بایست با یک ``0x`` یا ``0X`` (صفر و حرف اِکس کوچک یا بزرگ) آغاز گردند؛ مانند: ``0xA5`` که برابر عدد ``165`` در پایه ده است:: + + >>> a = 0xA5 + >>> type(a) + + >>> a + 165 + >>> print(a) + 165 + +همانطور که در نمونه کدهای بالا نیز قابل مشاهده است؛ نوع شی صحیح در پایه‌های گوناگون تفاوتی ندارند (همان ``int`` است) و در پایتون تنها از یک سینتکس متفاوت برای مشخص کردن آن‌ها استفاده شده است. همچنین در هنگام وارد کردن این اشیا در حالت تعاملی یا استفاده از تابع ``print``، این اشیا در پایه ده نمایش داده می‌شوند. + + +برای تبدیل یک عدد صحیح از پایه ده به هر یک از این پایه‌ها می‌توانید از تابع‌های آماده ``()bin`` [`اسناد پایتون `__] برای تبدیل به پایه دو، ``()oct`` [`اسناد پایتون `__] برای تبدیل به پایه هشت و ``()hex`` [`اسناد پایتون `__] برای تبدیل به پایه شانزده استفاده نمایید. تنها توجه داشته باشید که خروجی هر یک از این تابع‌ها به صورت یک شی از نوع رشته یا String برگردانده می‌شود و نه یک نوع عددی:: + + >>> a = 3 + >>> b = bin(a) + >>> b + '0b11' + >>> type(b) + + + >>> a = 12 + >>> b = oct(a) + >>> b + '0o14' + >>> type(b) + + + >>> a = 165 + >>> b = hex(a) + >>> b + '0xa5' + >>> type(b) + + +و برای برگرداندن پایه اعداد صحیح به پایه ده می‌توان از کلاس ``()int`` [`اسناد پایتون `__] استفاده کرد. آرگومان‌های نمونه این کلاس به صورت ``(int(str, base`` می‌باشد؛ آرگومان یکم: str می‌بایست یک «رشته عددی» یعنی یک عدد صحیح (در هر پایه‌ای) داخل نمادهای نقل قول (Quotation) باشد که آرگومان دوم، پایه (Base) آن را مشخص می‌کند. در نهایت این کلاس یک شی ``int`` متناظر با آرگومان یکم ولی در پایه ده را برمی‌گرداند:: + + >>> a = 165 + + >>> type(a) + + + >>> b = hex(a) # Converted to hexadecimal + >>> b + '0xa5' + + >>> type(b) + + + >>> int(b, 16) # str='0xa5' base=16 + 165 + + >>> type(int(b, 16)) + + + + +توجه داشته باشید که می‌توان اعداد را بدون حرف مشخص کننده پایه (``0x`` ``0o`` ``0b``) به این کلاس ارسال کنیم. همچنین از این کلاس می‌توان برای تبدیل **نوع** رشته‌های عددی در پایه ده به **عدد صحیح** استفاده کرد. مقدار پیش‌فرض آرگومان پایه ``10`` است؛ بنابراین در هنگام ارسال یک رشته عددی در این پایه، نیازی به ذکر پایه ``10`` نمی‌باشد:: + + + >>> int("A5", 16) # 0xA5 + 165 + +:: + + >>> a = "56" + + >>> type(a) + + + >>> int(a, 10) + 56 + >>> int(a) + 56 + + >>> type(int(a)) + + +:: + + >>> int() + 0 + +*()int بدون آرگومان یک شی صفر از نوع صحیح را برمی‌گرداند.* + +.. note:: + منظور از «رشته عددی»، رشته‌ای است که به گونه‌ای بتوان آن را به یک عدد ارزیابی نمود. مانند: ``"25"``، ``"0x2F"`` و... که بدیهی است قرار دادن رشته‌هایی همچون ``"0w55"`` و... - که به هیچ شکلی نمی‌توان آن‌ها را به عددی در پایتون ارزیابی نمود - در آرگومان ``()int`` موجب بروز خطا می‌گردد. + + +همچنین برای به دست آوردن اندازه یا میزان حافظه گرفته شده توسط یک شی به واحد بایت (Byte) می‌توان از تابع ``()getsizeof`` [`اسناد پایتون `__] درون ماژول ``sys`` استفاده نماییم - خروجی این تابع برای دو شی صحیح دلخواه در یک نمونه کامپیوتر ۶۴ بیتی به صورت پایین است:: + + >>> import sys + + >>> a = 1 + >>> sys.getsizeof(a) + 28 + >>> sys.getsizeof(10**100) + 72 + + >>> s = "1" + >>> sys.getsizeof(s) + 50 + + +.. admonition:: تمرین + + برنامه‌ای بنویسید که حاصل جمع تمام اعداد صحیح از یک تا 100 را محاسبه و در قالب یک عدد صحیح در خروجی نمایش دهد. + + + ** `راهنمای ریاضی `__ + + +.. _python-float-numbers: + +ممیز شناور (float) +---------------------- + +تمام اعداد مثبت و منفی که شامل یک «ممیز اعشار» هستند در پایتون به صورت اشیایی با نوع ``float`` (معادل نوع ``double`` در زبان C) ارایه می‌شوند؛ مانند: ``3.1415``، ``.5`` (برابر ``5.0``) و... :: + + >>> a = 3.1415 + >>> type(a) + + + >>> import sys + >>> sys.getsizeof(a) + 24 + +جزییات این نوع با استفاده از ``sys.float_info`` [`اسناد پایتون `__] قابل مشاهده است:: + + >>> import sys + >>> sys.float_info + sys.float_info(max=1.7976931348623157e+308, max_exp=1024, max_10_exp=308, min=2.2250738585072014e-308, min_exp=-1021, min_10_exp=-307, dig=15, mant_dig=53, epsilon=2.220446049250313e-16, radix=2, rounds=1) + +گاهی برای نمایش اعداد از شیوه «نماد علمی» (`Scientific Notation `_) استفاده می‌شود؛ در پایتون هم می‌توان از حرف ``E`` یا ``e`` که معادل «ضرب در ۱۰ به توانِ» می‌باشد، برای این منظور استفاده کرد. + +.. raw:: html + +
      برای نمونه: عبارت 4 × 105، به شکل 4E5 یا 4e5 بیان می‌شود. پایتون این نوع اعداد را نیز در قالب اعداد ممیز شناور (اشیایی از نوع float) ارايه می‌دهد:
      + +:: + + >>> 3e2 + 300.0 + + >>> type(3e2) + + + >>> 3e-2 + 0.03 + + >>> 3e+2 + 300.0 + +می‌توان از کلاس ``()float`` [`اسناد پایتون `__] برای تبدیل اعداد یا رشته‌های عددی به یک شی ممیز شناور استفاده کرد:: + + >>> a = 920 + + >>> type(a) + + + >>> float(a) + 920.0 + + >>> type(float(a)) + + + >>> float("920") + 920.0 + + >>> float("3e+2") + 300.0 + +:: + + >>> float() + 0.0 + +*()float بدون آرگومان یک شی صفر از نوع ممیز شناور را برمی‌گرداند.* + +چنانچه عددی از نوع ممیز شناور در آرگومان کلاس ``()int`` قرار بگیرد؛ تنها بخش صحیح عدد برگردانده می‌شود:: + + >>> a = 2.31 + >>> type(a) + + + >>> int(a) + 2 + >>> type(int(a)) + + + >>> int(3.9) + 3 + +با استفاده از کلاس ``()float`` می‌توانیم اشیایی با مقدارهای مثبت و منفی «بی‌نهایت» (infinity) برابر: ``inf`` یا ``infinity`` و «تعریف نشده» (Not a Number) برابر: ``NaN`` ایجاد نماییم - چگونگی کوچک یا بزرگ نوشتن حروف این کلمه‌ها تفاوتی در آن‌ها ایجاد نمی‌کند:: + + >>> a = float('infinity') + >>> a = float('inf') + >>> a + inf + + >>> b = float('-infinity') + >>> b = float('-inf') + >>> b + -inf + + >>> c = float('NaN') + >>> c + nan + +:: + + >>> a = float('inf') + + >>> 5 / a + 0.0 + + >>> a / a + nan + +:: + + >>> a = float('inf') + >>> b = float('inf') + >>> a == b + True + + >>> a = float('nan') + >>> b = float('nan') + >>> a == b + False + +*دو شی NaN با یکدیگر برابر نیستند.* + +برای بررسی اینکه مقدار یک شی «بی‌نهایت» یا «تعریف نشده» است؛ می‌توان به ترتیب از تابع‌های ``()isinf`` [`اسناد پایتون `__] و ``()isnan`` [`اسناد پایتون `__] درون ماژول ``math`` استفاده نماییم:: + + >>> a = float('inf') + >>> b = float('nan') + + >>> import math + + >>> math.isinf(a) + True + >>> math.isnan(b) + True + + +.. _python-complex-numbers: + +مختلط (Complex) +--------------------- + +همانطور که می‌دانیم اعداد مختلط (`Complex Numbers `_) از یک بخش حقیقی (Real) و یک بخش موهومی (Imaginary) تشکیل شده‌اند. این اعداد در پایتون الگویی برابر ``RealPart + ImaginaryPart j`` دارند که حرف ``j`` نشانگر «واحد موهومی» است. این اعداد در پایتون توسط اشیایی با نوع ``complex`` ارایه می‌شوند:: + + >>> a = 3 + 4j + >>> type(a) + + + >>> import sys + >>> sys.getsizeof(a) + 32 + + +از کلاس ``()complex`` [`اسناد پایتون `__] می‌توان برای ایجاد یک شی ``complex`` استفاده کرد. این کلاس الگویی مشابه ``(complex(real, imag`` دارد؛ آرگومان‌های نمونه real و imag بیانگر اعدادی هستند که به ترتیب قرار است در بخش‌های حقیقی و موهومی عدد مختلط مورد نظر وجود داشته باشند. اگر هر کدام از آرگومان‌ها ارسال نگردند به صورت پیش‌فرض صفر در نظر گرفته خواهند شد:: + + >>> a = 3 + >>> b = 4 + + >>> type(a) + + >>> type(b) + + + >>> complex(a, b) + (3+4j) + + >>> type(complex(a, b)) + + +:: + + >>> complex(3, 4) + (3+4j) + + >>> complex(3) + (3+0j) + + >>> complex(0, 4) + 4j + + >>> complex(4j) + 4j + +:: + + >>> a = 3 + 4j + >>> a + (3+4j) + + >>> a = 3.2 + 4j + >>> a + (3.2+4j) + + >>> a = 3.0 + 4j + >>> a + (3+4j) + + >>> a = 3.0 + 4.0j + >>> a + (3+4j) + +همچنین با استفاده از دو صفت ``real`` و ``imag`` می‌توان بخش‌های حقیقی و موهومی هر شی ``complex`` را به دست آورد. توجه داشته باشید که جدا از این که اعداد از چه نوعی در تشکیل یک نوع مختلط شرکت کرده باشند؛ بخش‌های عدد مختلط به صورت عدد ممیز شناور تفکیک می‌گردند:: + + >>> a = 3 + 4j + + >>> a.real + 3.0 + >>> a.imag + 4.0 + +``()complex`` توانایی دریافت یک رشته عددی و تبدیل آن به عدد مختلط را نیز دارد. تنها باید توجه داشت که نباید داخل این رشته هیچ فضای خالی وجود داشته باشد:: + + >>> a = "3+4j" + + >>> type(a) + + + >>> complex(a) + (3+4j) + + >>> a = "3" + >>> complex(a) + (3+0j) + + >>> type(complex(a)) + + +:: + + >>> a = "3 + 4j" + >>> complex(a) + Traceback (most recent call last): + File "", line 1, in + ValueError: complex() arg is a malformed string + >>> + +.. note:: + امکان قرار دادن رشته عددی (مختلط) یا خود شی عدد مختلط در آرگومان کلاس‌های ``()int`` و ``()float`` وجود ندارد و موجب بروز خطا می‌شود. + +.. _python-decimal-numbers: + +دسیمال (Decimal) +----------------------- + +اساس طراحی این نوع برای استفاده در مواقعی است که خطا نوع ممیز شناور قابل گذشت نیست [`PEP 327 `_] مانند توسعه برنامه حسابداری. + +در علوم کامپیوتر برای ارایه نوع ممیز شناور به کامپیوتر از کدگذاری Binary Floating-Point (`استاندارد IEEE 754 `_) استفاده می‌شود. این کدگذاری اعداد را به شکل دقیق ارایه نمی‌دهد؛ به عنوان نمونه عدد ``0.1`` برابر با عددی نزدیک به ``0.10000000000000001`` در محاسبات کامپیوتر شرکت داده می‌شود؛ هر چند که این عدد بسیار نزدیک به ``0.1`` است ولی به هر حال خود آن نیست!. این موضوع ممکن است در برخی موارد موجب خطا منطقی در برنامه گردد:: + + >>> a = 0.1 + 0.1 + 0.1 + >>> a == 0.3 + False + >>> a + 0.30000000000000004 + + +*در نمونه کد بالا کاربر انتظار دارد که عبارت سطر دوم با ارزش درستی True ارزیابی گردد که این اتفاق نمی‌افتد.* + +در پایتون نوع دسیمال با ایجاد شی از کلاس ``Decimal`` درون ماژول ``decimal`` در دسترس خواهد بود [`اسناد پایتون `__]. به نمونه کد پایین توجه نمایید:: + + + >>> from decimal import Decimal + + >>> a = Decimal('0.1') + >>> a + Decimal('0.1') + +:: + + >>> import decimal + + >>> a = decimal.Decimal('0.1') + >>> b = decimal.Decimal('0.3') + + >>> b == a + a + a + True + + >>> type(a) + + + >>> a + Decimal('0.1') + + >>> print(a) + 0.1 + + >>> import sys + >>> sys.getsizeof(a) + 104 + + +به شیوه‌های گوناگونی می‌توان شی دسیمال ایجاد کرد: + +.. code-block:: python + :linenos: + + a = Decimal(23) # Creates Decimal("23") + b = Decimal("23.45") # Creates Decimal("23.45") + c = Decimal("2345e-2") # Creates Decimal("23.45") + d = Decimal((1,(2,3,4,5),-2)) # Creates Decimal("-23.45") + e = Decimal("infinity") + f = Decimal("NaN") + +* از آنجا که نوع ممیز شناور دقیق نیست؛ این اعداد را حتما به صورت رشته به ``Decimal`` ارسال نمایید (سطر دوم). +* اعداد را می‌توان به صورت یک شی تاپل (Tuple) - ساختاری مشابه: (... ,Ο, Ο, Ο) - ارسال کرد (سطر چهارم). شیوه نماد علمی را به یاد بیاورید؛ تاپل مورد نظر باید ساختاری مشابه الگو ``(sign, digits, exponent)`` داشته باشد که در آن sign مثبت بودن (توسط عدد صفر) یا منفی بودن (توسط عدد یک) را مشخص می‌کند، digits خود تاپلی است که رقم‌های دخیل را بیان می‌کند و exponent نیز بیانگر همان توان است. + +میزان دقت (Precision) و عمل گرد کردن (Rounding) اعداد از نوع دسیمال با استفاده از یک شی ``Context`` قابل کنترل است؛ این شی یک سری اطلاعات پیکربندی را در اختیار اشیا دسیمال قرار می‌دهد که برای دسترسی به آن باید از تابع ``()getcontext`` [`اسناد پایتون `__] درون ماژول ``decimal`` استفاده کرد. تابع ``()getcontext`` شی ``Context`` اشیا دسیمال جاری برنامه را برمی‌گرداند:: + + >>> import decimal + + >>> a = decimal.Decimal('3.45623') + >>> b = decimal.Decimal('0.12') + + >>> a + b + Decimal('3.57623') + + >>> print(a + b) + 3.57623 + + >>> ctx = decimal.getcontext() + >>> type(ctx) + + + >>> ctx.prec = 1 + >>> a + b + Decimal('4') + + >>> ctx.prec = 2 + >>> a + b + Decimal('3.6') + + >>> ctx.prec = 3 + >>> a + b + Decimal('3.58') + + +همانطور که در نمونه کد بالا مشاهده می‌شود دقت محاسبات اعداد دسیمال را می‌توان با استفاده از صفت ``prec`` شی ``Context`` به شکل دلخواه تنظیم نمود؛ مقدار پیش‌فرض این صفت ``28`` است. بدیهی است برای اینکه اعداد در محدوده دقت کوچکتری نسبت به طول خود قرار بگیرند نیاز به گرد شدن دارند؛ برای تنطیم عمل گرد کردن در اعداد دسیمال نیز از صفت ``rounding`` که مقدار پیش‌فرض آن ``"ROUND_HALF_EVEN"`` است، استفاده می‌شود:: + + >>> a = decimal.Decimal('2.0') + >>> b = decimal.Decimal('0.52') + + >>> ctx.prec + 28 + >>> ctx.rounding + 'ROUND_HALF_EVEN' + + >>> print(a + b) + 2.52 + + >>> ctx.prec = 2 + + >>> print(a + b) + 2.5 + + >>> ctx.rounding = "ROUND_CEILING" + + >>> print(a + b) + 2.6 + +صفت ``rounding`` می‌بایست حاوی مقادیر ثابتی به شرح پایین باشد: + +* **ROUND_CEILING** - گرد کردن به سمت مثبت بی‌نهایت: یعنی برای اعداد **مثبت** ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52`` به ``2.6`` گرد می‌شود. برای اعداد منفی نیز تنها اعداد خارج از محدوده حذف می‌گردند مثلا عدد ``2.19-`` به ``2.1-`` گرد می‌شود. +* **ROUND_FLOOR** - گرد کردن به سمت منفی بی‌نهایت: یعنی برای اعداد **منفی** ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52-`` به ``2.6-`` گرد می‌شود. برای اعداد مثبت نیز تنها اعداد خارج از محدوده حذف می‌گردند مثلا عدد ``2.19`` به ``2.1`` گرد می‌شود. +* **ROUND_DOWN** - گرد کردن به سمت صفر: یعنی برای اعداد مثبت و منفی تنها ارقام خارج از محدوده حذف می‌گردند مثلا عدد ``2.58`` به ``2.5`` و عدد ``2.58-`` به ``2.5-`` گرد می‌شود. +* **ROUND_UP** - گرد کردن به دور از صفر: یعنی برای اعداد مثبت و منفی ارقام خارج از محدوده حذف می‌گردند و آخرین رقم باقی مانده یک واحد افزایش می‌یابد مثلا عدد ``2.52`` به ``2.6`` و عدد ``2.52-`` به ``2.6-`` گرد می‌شود. +* **ROUND_HALF_DOWN** - اگر رقم ابتدایی بخش حذف شده بزرگتر از ``5`` باشد به روش ROUND_UP و در غیر این صورت به روش ROUND_DOWN گرد می‌گردد. مثلا عدد ``2.58`` به ``2.6`` و عدد ``2.55`` به ``2.5`` گرد شده و همینطور عدد ``2.58-`` به ``2.6-`` و عدد ``2.55-`` به ``2.5-`` گرد می‌شود. +* **ROUND_HALF_UP** - اگر رقم ابتدایی بخش حذف شده بزرگتر یا برابر ``5`` باشد به روش ROUND_UP و در غیر این صورت به روش ROUND_DOWN گرد می‌گردد. مثلا عدد ``2.55`` به ``2.6`` و عدد ``2.51`` به ``2.5`` گرد شده - همینطور عدد ``2.55-`` به ``2.6-`` و عدد ``2.51-`` به ``2.5-`` گرد می‌کند. +* **ROUND_HALF_EVEN** - همانند ROUND_HALF_DOWN است ولی در مواقعی که رقم ابتدایی بخش حذف شده برابر ``5`` باشد رفتار آن متفاوت می‌شود: در این حالت اگر آخرین رقم باقی مانده زوج باشد به شیوه ROUND_DOWN و اگر فرد باشد به روش ROUND_UP گرد می‌گردد. مثلا عدد ``2.68`` به ``2.7``، ``2.65`` به ``2.6`` و ``2.75`` به ``2.8`` - همینطور عدد ``2.68-`` به ``2.7-``، ``2.65-`` به ``2.6-`` و ``2.75-`` به ``2.8-`` گرد می‌کند. +* **ROUND_05UP** - اگر بر اساس روش ROUND_DOWN آخرین رقم باقی مانده ``0`` یا ``5`` باشد؛ به روش ROUND_UP و در غیر این صورت به همان شیوه ROUND_DOWN گرد می‌کند. مثلا عدد ``2.58`` به ``2.6`` و ``2.48`` به ``2.4`` - همینطور عدد ``2.58-`` به ``2.6-`` و ``2.48-`` به ``2.4-`` گرد می‌شود. + +ماژول ``decimal`` یا نوع دسیمال پایتون شامل جزییات و ویژگی‌های بسیار بیشتری است که برای آگاهی از آن‌ها می‌بایست صفحه مربوط به آن در `اسناد پایتون `__ را مطالعه نمایید. + + +.. _python-fraction-numbers: + +کسر (Fraction) +------------------ + +این نوع برای پشتیبانی اعداد گویا (Rational) در پایتون ارایه شده است و با ایجاد شی از کلاس ``Fraction`` درون ماژول ``fractions`` در دسترس قرار می‌گیرد [`اسناد پایتون `__]:: + + + >>> from fractions import Fraction + + >>> Fraction(1, 2) + Fraction(1, 2) + + >>> float(_) + 0.5 + +:: + + >>> import fractions + + >>> a = 1 + >>> b = 2 + >>> f = fractions.Fraction(a, b) + + >>> f + Fraction(1, 2) + + >>> print(f) + 1/2 + + >>> type(f) + + + >>> import sys + >>> sys.getsizeof(f) + 56 + +علاوه‌بر روش بالا که به صورت مستقیم صورت و مخرج کسر - از نوع صحیح - مشخص شده است؛ به روش‌های دیگری نیز می‌توان یک شی کسری ایجاد نمود: + +* از یک شی ممیز شناور - بهتر است این نوع به صورت رشته وارد شود:: + + >>> print(Fraction('0.5')) + 1/2 + >>> print(Fraction('1.1')) + 11/10 + >>> print(Fraction('1.5')) + 3/2 + >>> print(Fraction('2.0')) + 2 + + :: + + >>> print(Fraction(0.5)) + Fraction(1, 2) + + >>> print(Fraction(1.1)) + 2476979795053773/2251799813685248 + >>> 2476979795053773 / 2251799813685248 + 1.1 + + >>> print(Fraction(1.5)) + 3/2 + + همچنین با استفاده از متد ``()limit_denominator`` [`اسناد پایتون `__] و محدود کردن مخرج یک شی کسر به یک مقدار بیشینه (که از ورودی دریافت می‌کند) می‌توان به صورت تقریبی، معادل‌های کسری از اعداد ممیز شناور را به دست آورد:: + + >>> Fraction(1.1).limit_denominator() + Fraction(11, 10) + + :: + + >>> import math + + >>> math.pi + 3.141592653589793 + + >>> pi = math.pi + + >>> Fraction(pi) + Fraction(884279719003555, 281474976710656) + >>> 884279719003555 / 281474976710656 + 3.141592653589793 + + >>> Fraction(pi).limit_denominator() + Fraction(3126535, 995207) + >>> 3126535 / 995207 + 3.1415926535886505 + + >>> Fraction(pi).limit_denominator(8) + Fraction(22, 7) + >>> 22 / 7 + 3.142857142857143 + + >>> Fraction(pi).limit_denominator(60) + Fraction(179, 57) + >>> 179 / 57 + 3.1403508771929824 + + + +* از یک شی دسیمال:: + + >>> print(Fraction(Decimal('1.1'))) + 11/10 + +* از یک رشته کسری - صورت و مخرج کسر می‌بایست از نوع صحیح باشند:: + + >>> print(Fraction('3/14')) + 3/14 + +* از یک شی کسر دیگر:: + + >>> f1 = Fraction(1, 2) + >>> f2 = Fraction(3, 5) + + >>> Fraction(f1) + Fraction(1, 2) + + >>> Fraction(f1, f2) + Fraction(5, 6) + +با استفاده از دو صفت ``numerator`` و ``denominator`` می‌توان به ترتیب به صورت و مخرج شی کسر دسترسی یافت:: + + >>> f = Fraction('1.5') + >>> f.numerator + 3 + >>> f.denominator + 2 + +از این نوع شی به سادگی می توان در انواع محاسبات ریاضی استفاده کرد؛ برای نمونه به تکه کد پایین توجه نمایید:: + + >>> Fraction(1, 2) + Fraction(3, 4) + Fraction(5, 4) + + >>> Fraction(5, 16) - Fraction(1, 4) + Fraction(1, 16) + + >>> Fraction(3, 5) * Fraction(1, 2) + Fraction(3, 10) + + >>> Fraction(3, 16) / Fraction(1, 8) + Fraction(3, 2) + +چنانچه یک شی صحیح به شی کسر افزوده شود حاصل یک شی کسر است ولی اگر یک شی ممیز شناور به شی کسر افزوده شود حاصل یک شی از نوع ممیز شناور می‌باشد:: + + >>> Fraction(5, 2) + 3 + Fraction(11, 2) + + >>> Fraction(5, 2) + 3.0 + 5.5 + +.. rubric:: ب.م.م + +ماژول ``fractions`` علاوه بر نوع کسری؛ حاوی تابع ``()gcd`` [`اسناد پایتون `__] نیز است. این تابع «بزرگترین مقسوم‌علیه مشترک» (`GCD `_) دو عدد را برمی‌گرداند:: + + >>> import fractions + >>> fractions.gcd(54, 24) + 6 + + +.. _python-boolean: + +بولی (Boolean) +------------------ + +کلاسی که در پایتون از آن برای ایجاد شی بولی استفاده می‌شود (``bool``) در واقع یک کلاس فرزند از کلاس اعداد صحیح (``int``) است. این نوع شی تنها می‌تواند یکی از دو مقدار ``True`` (درست) یا ``False`` (نادرست) را داشته باشد که ``True`` برابر با عدد صحیح ``1`` و ``False`` برابر با عدد صحیح ``0`` ارزیابی می‌گردد:: + + >>> a = True + + >>> a + True + + >>> type(a) + + + >>> import sys + >>> sys.getsizeof(a) + 28 + + +:: + + >>> int(True) + 1 + + >>> int(False) + 0 + + >>> float(True) + 1.0 + + >>> complex(True) + (1+0j) + + +:: + + >>> True + 1 + 2 + + >>> False + 1 + 1 + + >>> True * 25 + 25 + + >>> False * 25 + 0 + +کلاس ``()bool`` یا متد ``()__bool__`` مقدار بولی یک شی را برمی‌گرداند [`اسناد پایتون `__]:: + + >>> bool(0) + False + + >>> bool(1) + True + + >>> bool("") # Empty String + False + +:: + + >>> a = 15 + >>> a.__bool__() + True + + >>> a = -15 + >>> a.__bool__() + True + + >>> a = 0 + >>> a.__bool__() + False + +در پایتون اشیا پایین به مقدار بولی ``False`` (نادرست) ارزیابی می‌گردند: + +* ``None`` +* ``False`` +* شی صفر (در انواع گوناگون): ``0``، ``0.0``، ``0j`` +* تمام اشیا دنباله‌ خالی: ``""``، ``()``، ``[]`` +* شی دیکشنری خالی: ``{}`` +* شی مجموعه خالی: ``()set`` + +*با موارد نا آشنا به مرور آشنا می‌شوید.* + + +| + +---- + +:emoji-size:`😊` امیدوارم مفید بوده باشه + + diff --git a/source/lessons/l07-string-in-python.rst b/source/lessons/l07-string-in-python.rst new file mode 100644 index 0000000..ef9ebb2 --- /dev/null +++ b/source/lessons/l07-string-in-python.rst @@ -0,0 +1,1056 @@ +.. role:: emoji-size + +.. meta:: + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هفتم: انواع داده در پایتون، رشته + :keywords: آموزش نوع داده رشته یا string در پایتون (str)، آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, رشته‌ها در پایتون, قالب بندی رشته, توابع رشته در پایتون + + +.. _lesson-07.2: + +درس ۰۷: انواع داده در پایتون: رشته +=========================================================== + +.. figure:: /_static/pages/07-python-built-in-data-types-1.jpg + :align: center + :alt: انواع داده در پایتون: رشته + :class: page-image + + Photo by `Kristian Strand `__ + + +پایتون هر «نوع داده» (Data Type) را توسط یک کلاس ارایه می‌دهد؛ بنابراین هر داده یک نمونه یا یک شی از کلاسی مشخص است. هر چند برنامه‌نویس نیز می‌تواند با تعریف کلاس، نوع دلخواه خود را داشته باشد ولی در این درس می‌خواهیم درباره آن بخشی از انواع داده یا انواع شی‌ای که به شکل آماده (Built-in) در اختیار مفسر زبان پایتون قرار داده شده است صحبت کنیم. + +در ادامه شرح «انواع عددی» در پایتون، این بخش به بررسی نوع «رشته» (String) در پایتون خواهد پرداخت. + +با اینکه تلاش شده است جزییات کامل باشند ولی در برخی بخش‌ها مطالعه اسناد رسمی پایتون می‌تواند اطلاعات کامل‌تری را در اختیار شما قرار دهد. در مواقع بسیاری از تابع‌های آماده پایتون استفاده خواهد شد که ممکن است جزییاتی بیشتر از آنچه در این درس بیان می‌شود را داشته باشند؛ به همین دلیل لینک تعریف آن‌ها در اسناد پایتون نیز ارایه گشته است. نکته مهم در مطالعه این درس بررسی نمونه کدهاست که گاهی درک توضیحی که داده شده است بدون دقت در این نمونه کدها ناممکن خواهد بود. + + +:emoji-size:`✔` سطح: مقدماتی + +---- + +.. contents:: سرفصل‌ها + :depth: 2 + +---- + + +.. _python-string: + +نوع رشته +----------- + + +نوع «رشته» (String) در پایتون با قرار گرفتن دنباله‌ای از کاراکترها درون یک جفت نماد نقل قول (Quotation) تکی ``' '`` یا دو تایی ``" "`` ایجاد می‌شود؛ به مانند ``"Python Strings"`` یا ``'Python Strings'`` که تفاوتی با یکدیگر از نظر نوع ندارند:: + + >>> a = "Python Strings" + + >>> type(a) + + + >>> a + 'Python Strings' + + >>> print(a) + Python Strings + + >>> import sys + >>> sys.getsizeof(a) + 63 + +بیشتر مواقع در حالت تعاملی نیازی به استفاده از تابع ``print`` نمی‌باشد ولی باید توجه داشته باشیم که حالت تعاملی بر بدون ابهام بودن این خروجی‌ها توجه دارد بنابراین آن‌ها را با جزییات نمایش می‌دهد که مناسب برنامه‌نویس است؛ برای نمونه حتما به چگونگی نمایش انواع دسیمال و کسری توجه کرده‌اید یا در نمونه کد بالا مشاهده می‌شود که نوع رشته به همراه نماد نقل قول نمایش داده شده است یا اگر متن رشته شامل کاراکترهای Escape باشد، آن‌ها را بدون تفسیر به همان شکل به خروجی می‌فرستد. اما ``print`` توجه بر خوانایی خروجی خود دارد و تا حد امکان جزییات را پنهان می‌کند؛ در نتیجه متن تمیزتری را نمایش می‌دهد که بیشتر مناسب کاربر نهایی است. + +در پایتون برخلاف برخی از زبان‌ها نوع کاراکتر یا ``char`` وجود ندارد؛ در این زبان یک کاراکتر چیزی جز یک رشته با طول یک نیست. + +در پایتون می‌توان از نمادهای نقل قول در داخل یکدیگر نیز بهره برد؛ در این شرایط تنها می‌بایست نماد نقل قول داخلی با بیرونی متفاوت باشد. چنانچه می‌خواهید از نماد نقل قول یکسانی استفاده نمایید، باید از کاراکترهای Escape کمک بگیرید که در ادامه بررسی خواهند شد:: + + >>> "aaaaaa 'bbb'" + "aaaaaa 'bbb'" + + >>> 'aaaaaa "bbb"' + 'aaaaaa "bbb"' + + >>> "I'm cold!" + "I'm cold!" + +:: + + >>> 'I\'m cold!' + "I'm cold!" + +از درس پیش با Docstring آشنا شده‌ایم؛ در کاربردی دیگر از سه نماد نقل قول ``"""`` یا ``'''`` برای ایجاد شی رشته نیز استفاده می‌شود. مزیت این نوع رشته در این است که می‌توان متن آن را به سادگی در چند سطر و با هر میزان تورفتگی دلخواه نوشت؛ این موضوع در زمان‌هایی که قصد استفاده از کدهای خاص به مانند HTML در برنامه خود داشته باشیم، بسیار مفید خواهد بود:: + + >>> a = """Python""" + >>> a + 'Python' + +:: + + >>> html = """ + ... + ... + ... + ... Page Title + ... + ... + ...

      This is a Heading.

      + ...

      This is a paragraph.

      + ... + ... + ... """ + >>> print(html) + + + + + Page Title + + +

      This is a Heading.

      +

      This is a paragraph.

      + + + + >>> + + +.. _python-string-sequence: + +رشته به عنوان دنباله‌ (Sequence) +---------------------------------- + +برخی از انواع شی پایتون به مانند رشته، تاپل (tuple)، لیست (list) و... با عنوان **دنباله** (Sequence) نیز شناخته می‌شوند. دنباله ویژگی‌هایی دارد که در اینجا به کمک نوع رشته بررسی خواهیم کرد. رشته در واقع یک **دنباله** از کاراکترهاست در نتیجه می‌توان هر یک از اعضای این دنباله را با استفاده از اندیس (Index) موقعیت آن، دستیابی نمود؛ اندیس اعضا از سمت چپ با عدد صفر شروع و به سمت راست یک واحد یک واحد افزایش می‌یابد. به عنوان نمونه برای شی ``'Python Strings'`` می‌توانیم شمای اندیس‌گذاری را به صورت پایین در نظر بگیریم:: + + P y t h o n S t r i n g s + - - - - - - - - - - - - - - + 0 1 2 3 4 5 6 7 ... 13 + +برای دستیابی اعضای یک دنباله با نام ``seq`` از الگو ``[seq[i`` که ``i`` اندیس عضو مورد نظر است؛ استفاده می‌شود:: + + >>> a = "Python Strings" + >>> a[0] + 'P' + >>> a[7] + 'S' + >>> a[6] + ' ' + +.. rubric:: چند نکته: + +* الگو ``[seq[-i`` اعضا دنباله را از **سمت راست** پیمایش می کند؛ اندیس سمت راست ترین عضو ``1-`` است و به ترتیب به سمت چپ یک واحد یک واحد کاهش می‌یابد. +* الگو ``[seq[i:j`` اعضایی از دنباله را که در بازه‌ای از اندیس ``i`` تا قبل از اندیس ``j`` هستند را دستیابی می‌کند. برای بیان نقاط «از ابتدا» و «تا انتها» می‌توان به ترتیب ``i`` و ``j`` را ذکر نکرد. +* الگو ``[seq[i:j:k`` همانند قبلی است با این تفاوت که ``k`` اندازه گام پیمایش اعضا را تعیین می‌کند. +* با استفاده از تابع ``()len`` می‌توان تعداد اعضای یک دنباله را به دست آورد [`اسناد پایتون `__]. + +:: + + >>> a = "Python Strings" + + >>> len(a) + 14 + + >>> a[-2] + 'g' + + >>> a[2:4] + 'th' + + >>> a[4:-4] + 'on Str' + + >>> a[7:] + 'Strings' + + >>> a[:6] + 'Python' + + >>> a[:-1] + 'Python String' + + >>> a[-6:] + 'trings' + + >>> a[2:12:3] + 'tntn' + + >>> a[:6:2] + 'Pto' + + >>> a[7::4] + 'Sn' + + >>> a[-1] + 's' + + >>> a[len(a) - 1] + 's' + + + +باید توجه داشت که یک شی رشته جزو انواع **immutable** پایتون است و مقدار (یا اعضا دنباله) آن را نمی‌توان تغییر داد؛ برای مثال نمی‌توان شی ``'Python Strings'`` به ``'Python-Strings'`` تغییر داد - برای این کار تنها می‌بایست یک شی جدید ایجاد کرد:: + + >>> a = "Python Strings" + >>> a[6] = "-" + Traceback (most recent call last): + File "", line 1, in + TypeError: 'str' object does not support item assignment + +.. _python-string-operators: + +عملگرها برای رشته +------------------------ + +با رشته‌ها نیز می‌توان از عملگرهای ``+`` (برای پیوند رشته‌ها) و ``*`` (برای تکرار رشته‌ها) بهره برد:: + + >>> a = "Python" + " " + "Strings" + >>> a + 'Python Strings' + + >>> "-+-" * 5 + '-+--+--+--+--+-' + +برای پیوند می‌توان از عملگر ``+`` صرف نظر کرد و تنها با کنار هم قرار دادن رشته‌ها، آن‌ها را پیوند داد:: + + >>> "Python " "Programming " "Language" + 'Python Programming Language' + +:: + + >>> a, b, c = "Python ", "Programming ", "Language" + >>> a + b + c + 'Python Programming Language' + +:: + + >>> name = "Python" + >>> version = 3.11 + >>> name + version + Traceback (most recent call last): + File "", line 1, in + TypeError: can only concatenate str (not "float") to str + +برای بررسی برابر بودن **مقدار** دو رشته مانند دیگر اشیا می‌توان از عملگر ``==`` استفاده کرد:: + + >>> a = "py" + >>> b = "PY" # Uppercase + >>> a == b + False + +از عملگرهای عضویت هم می‌توان برای بررسی وجود کاراکتر یا رشته‌ای درون رشته‌ای دیگر استفاده کرد:: + + >>> "n" in "python" + True + >>> "py" not in "python" + False + + + +کمی جلوتر خواهید دید که از عملگر ``%`` نیز برای قالب‌بندی رشته‌ها استفاده می‌گردد. + +.. _python-escape-characters: + +کاراکترهای Escape +--------------------- + +به صورت پیش‌فرض تعدادی کاراکتر خاص تعریف شده است که می‌توان آن‌ها را درون رشته‌ها بکار برد. تمام این کاراکترها با یک ``\`` آغاز می‌شوند به همین دلیل گاهی نیز به نام Backslash Characters خوانده می‌شوند [`ویکی‌پدیا `__]. در واقع این کاراکترها امکانی برای درج برخی دیگر از کاراکترها هستند که نمی‌توان آن‌ها را به سادگی توسط صفحه‌کلید وارد کرد. برای نمونه یکی از کاراکترهای Escape رایج ``n\`` است که بیانگر کاراکتری با کد اسکی 10 (LF) به نام newline می‌باشد؛ ``n\`` در هر جایی از رشته (یا متن) که درج گردد در هنگام چاپ سطر جاری را پایان می‌دهد و ادامه رشته (یا متن) از سطر جدید آغاز می‌‌شود:: + + >>> a = "Python\nProgramming\nLanguage" + + >>> a + 'Python\nProgramming\nLanguage' + + >>> print(a) + Python + Programming + Language + >>> + +برخی از این کاراکترها به شرح پایین است: + +* ``n\`` - پایان سطر جاری و رفتن به سطر جدید +* ``t\`` - برابر کد اسکی 9 (TAB): درج هشت فاصله (کلید Space) +* ``uxxxx\`` - درج یک کاراکتر یونیکد 16 بیتی با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"u067E\"`` +* ``Uxxxxxxxx\`` - درج یک کاراکتر یونیکد 32 بیتی با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"U0001D11E\"`` +* ``ooo\`` - درج یک کاراکتر با استفاده از مقدار اُکتال (پایه هشت) آن : ``"123\"`` +* ``xhh\`` - درج یک کاراکتر با استفاده از مقدار هگزادسیمال (پایه شانزده) آن : ``"x53\"`` +* ``'\`` - درج یک کاراکتر ``'`` +* ``"\`` - درج یک کاراکتر ``"`` +* ``\\`` - درج یک کاراکتر ``\`` + +این ویژگی رشته‌ها گاهی موجب مشکل می‌شود؛ فرض کنید می‌خواهیم آدرس فایلی از سیستم عامل ویندوز را چاپ نماییم:: + + >>> fpath = "C:\new\text\sample.txt" + + >>> print(fpath) + C: + ew ext\sample.txt + +برای حل مشکل نمونه کد بالا می‌توان هر جا که نیاز به ``\`` است از ``\\`` استفاده کرد: ``"C:\\new\\text\\sample.txt"``. ولی راهکار جامع‌تر ایجاد «**رشته‌های خام**» (Raw Strings) است؛ در این نوع رشته‌، کاراکترهای Escape بی‌اثر هستند. رشته خام با افزوده شدن یک حرف ``r`` یا ``R`` به ابتدای یک رشته معمولی ایجاد می‌گردد:: + + >>> fpath = r"C:\new\text\sample.txt" + >>> print(fpath) + C:\new\text\sample.txt + + +.. _python-character-code: + +تبدیل کد به کاراکتر و برعکس +------------------------------ + +می‌دانیم برای اینکه کامپیوتر بتواند کاراکتر‌ها را درک کند نیاز به سیستم‌هایی است که آن‌ها را برای تبدیل به کدهای پایه دو کدگذاری کند؛ به مانند سیستم اَسکی (ASCII) یا سیستم‌های جامع‌تری مانند UTF-8 که تحت استاندارد یونیکد (Unicode) در دسترس است. گاهی نیاز است به این کدها دسترسی داشته باشیم و با کاراکترها بر اساس آن‌ها کار کنیم؛ برای این منظور در پایتون می‌توان از دو تابع ``()ord`` (تبدیل کد به کاراکتر) [`اسناد پایتون `__] و ``()chr`` (تبدیل کاراکتر به کد) [`اسناد پایتون `__] استفاده کرد. تابع ``()ord`` یک رشته تک کاراکتری را گرفته و یک عدد (در پایه ده) که بیانگر کد کاراکتر مورد نظر می‌باشد را برمی‌گرداند. تابع ``()chr`` نیز کد کاراکتری (که می‌بایست عددی در پایه ده باشد) را گرفته و کاراکتر مربوط به آن را برمی‌گرداند:: + + >>> # Python 3.x - GNU/Linux + + >>> ord("A") + 65 + >>> chr(65) + 'A' + + >>> int("067E", 16) # Hexadecimal to Decimal + 1662 + >>> chr(1662) # Unicode Character: 1662 -> 067E -> 'پ' + 'پ' + >>> ord(_) # _ is result of the last executed statement = 'پ' + 1662 + + >>> ord("\U0001D11E") + 119070 + >>> chr(_) + '𝄞' + + +.. _python-convert-to-string: + +تبدیل به نوع رشته +----------------------- + +برای تبدیل اشیایی از نوع دیگر به نوع رشته؛ کلاس ``()str`` [`اسناد پایتون `__] و تابع ``()repr`` [`اسناد پایتون `__] وجود دارد. کلاس ``()str`` یک نمونه غیر رسمی (informal) از نوع شی رشته را برمی‌گرداند؛ غیر رسمی از این جهت که توسط آن جزییات شی رشته پنهان می‌شود. اما تابع ``()repr`` یک نمونه رسمی (official) از نوع رشته پایتون را برمی‌گرداند. کمی قبل‌تر راجب تفاوت خروجی ``print`` و حالت تعاملی صحبت کردیم؛ در واقع خروجی ``()str`` مناسب برای چاپ است و همانند ``print`` جزییات این نوع شی را ارایه نمی‌دهد در حالی که ``()repr`` به مانند حالت تعاملی یک ارايه (representation) کامل از شی رشته را برمی‌گرداند:: + + >>> str(14) + '14' + >>> repr(14) + '14' + + >>> str(True) + 'True' + >>> repr(False) + 'False' + +:: + + >>> a = "Python Strings" + + >>> str(a) + 'Python Strings' + >>> repr(a) + "'Python Strings'" + + >>> print(str(a)) + Python Strings + >>> print(repr(a)) + 'Python Strings' + +همچنین به جای این دو می‌توانید از متدهای ``()__str__`` و ``()__repr__`` استفاده نمایید:: + + >>> a = 10 + >>> a.__str__() + '10' + + +.. _python-string-formatting: + +قالب‌بندی رشته‌ (String Formatting) +------------------------------------ + +قالب‌بندی امکانی برای جایگزین کردن یک یا چند مقدار (به بیان بهتر: شی) - گاهی همراه با اعمال تغییر دلخواه - درون یک رشته است که به چند روش در پایتون پیاده‌سازی می‌گردد: + + +.. _python-string-formatting-old: + +با الگو ``(s..." % (values%..."`` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + از دو بخش تشکیل شده است؛ بخش سمت چپ عملگر ``%``، رشته‌ای را مشخص می‌کند که شامل یک یا چند کد جایگذاری شی می‌باشد - کدهای جایگذاری همگی با یک کاراکتر ``%`` شروع می‌شوند؛ مانند: ``s%`` - و در سمت راست آن شی‌هایی برای جایگزین شدن در رشته، داخل پرانتز قرار دارد؛ این اشیا به ترتیب از سمت چپ درون رشته جایگذاری می‌گردند:: + + >>> "Python is %s to learn if you know %s to start!" % ("easy", "where") + 'Python is easy to learn if you know where to start!' + + برخی از کدهای جایگذاری به شرح پایین است: + + * ``s%`` - جایگزینی در قالب یک رشته به شکل خروجی کلاس ``()str`` + * ``r%`` - جایگزینی در قالب یک رشته به شکل خروجی تابع ``()repr`` + * ``c%`` - جایگزینی در قالب یک کاراکتر: یک عدد صحیح که نشانگر کد کاراکتر می‌باشد را به کاراکتر یونیکد تبدیل کرده و درون رشته قرار می دهد. + + :: + + >>> "%r is a %s language." % ("Python", "programming") + "'Python' is a programming language." + + >>> er = 1427 + >>> "Error %s!" % (er) + 'Error 1427!' + + >>> "A, B, C, ... Y, %c" % (90) + 'A, B, C, ... Y, Z' + + * ``d%`` یا ``i%`` - جایگزینی در قالب یک عدد صحیح در پایه ده + * ``o%`` - جایگزینی در قالب یک عدد صحیح در پایه هشت + * ``x%`` - جایگزینی در قالب یک عدد صحیح در پایه شانزده با حروف کوچک + * ``X%`` - جایگزینی در قالب یک عدد صحیح در پایه شانزده با حروف بزرگ + + :: + + >>> "4 + 4 == %d" % (2*4) + '4 + 4 == 8' + + >>> "%d" % (0b0110) + '6' + + >>> "%d" % (12.6) + '12' + + >>> "int('%o', 8) == %d" % (0o156, 0o156) + "int('156', 8) == 110" + + >>> "15 == %X in HEX" % (15) + '15 == F in HEX' + + + + + * ``f%`` - جایگزینی در قالب یک عدد ممیز شناور (دقت پیش‌فرض: ۶) در پایه ده + * ``F%`` - همانند ``f%`` ؛ با این تفاوت که ``nan`` و ``inf`` را به شکل ``NAN`` و ``INF`` درج می‌کند. + * ``e%`` - جایگزینی در قالب یک عدد ممیز شناور به شکل نماد علمی با حرف کوچک + * ``E%`` - جایگزینی در قالب یک عدد ممیز شناور به شکل نماد علمی با حرف بزرگ + + :: + + >>> "%f" % (12.526) + '12.526000' + + >>> "%f" % (122e-3) + '0.122000' + + >>> "%E" % (12.526) + '1.252600E+01' + + همچنین این الگو را می‌توان با استفاده از یک شی دیکشنری - این نوع شی توسط درس هشتم بررسی می‌گردد - پیاده‌سازی نمود. در این شیوه اشیا با استفاده از کلید جایگذاری می‌گردند و دیگر ترتیب آن‌ها اهمیتی ندارد. به نمونه کد پایین توجه نمایید:: + + >>> '%(qty)d more %(product)s' % {'product': 'book', 'qty': 1} + '1 more book' + + + >>> reply = """ + ... Greetings... + ... Hello %(name)s! + ... Your age is %(age)s + ... """ + >>> values = {'name': 'Bob', 'age': 40} + >>> print(reply % values) + + Greetings... + Hello Bob! + Your age is 40 + + >>> + + در اصل می‌توان برای بخش سمت چپ این قالب، ساختاری مانند پایین را در نظر گرفت:: + + %[(keyname)][flags][width][.precision]typecode + + +* در هر استفاده وجود هر یک از ``[ ]`` ها اختیاری است یا بستگی به مورد استفاده دارد. +* (keyname) - درج کلید داخل پرانتز - در مواقع استفاده از شی دیکشنری آورده می‌شود. +* flags - می‌تواند یکی از سه نماد ``+``، ``−`` و ``0`` باشد. ``+`` موجب درج علامت عدد می‌شود (علامت اعداد منفی به صورت پیش‌فرض درج می‌گردد؛ این علامت بیشتر برای درج علامت اعداد مثبت به کار می‌رود)، ``−`` موجب چپ‌چین شدن مقدار می‌گردد (حالت پیش‌فرض راست‌چین است) و ``0`` تعیین می‌کند که فضای خالی اضافی با صفر پر گردد (در حالت پیش‌فرض Space گذاشته می‌شود). +* width - اندازه رشته را تعیین می‌کند؛ در مواردی که اندازه تعیین شده بیشتر از اندازه واقعی مقدار باشد، فضای اضافی را می‌توان با صفر یا فضای خالی (Space) پر کرد و البته زمانی که کمتر تعیین گردد، این گزینه نادیده گرفته می‌شود. +* precision. - در مورد اعداد ممیز شناور، دقت یا تعداد ارقام بعد از ممیز را تعیین می‌کند (دقت پیش‌فرض: ۶). در مواردی که تعداد تعیین شده کمتر از تعداد واقعی ارقام بعد ممیز باشد، عدد گِرد می‌گردد. به وجود ``.`` پیش از آن توجه نمایید. +* typecode - بیانگر همان حرف تعیین کننده نوع کد جایگذاری می‌باشد. +* به جای width و precision. می توان از ``*`` استفاده کرد که در این صورت عدد مربوط به آن‌ها نیز در بخش سمت راست آورده می‌شود و شی جایگزینی می‌بایست درست پس از آن ذکر گردد. این گزینه در مواقعی که لازم است این اعداد در طول اجرای برنامه تعیین گردند کاربرد دارد. + + + :: + + >>> "%6d" % (256) # typecode='d' width='6' + ' 256' + + >>> "%-6d" % (256) # typecode='d' width='6' flags='-' + '256 ' + + >>> "%06d" % (256) # typecode='d' width='6' flags='0' + '000256' + + >>> "%+d" % (256) # typecode='d' flags='+' + '+256' + + :: + + >>> "%10f" % (3.141592653589793) # typecode='f' width='10' + ' 3.141593' + + >>> "%10.4f" % (3.141592653589793) # typecode='f' precision='4' width='10' + ' 3.1416' + + >>> "%10.8f" % (3.141592653589793) # typecode='f' precision='8' width='10' + '3.14159265' + + >>> "%-10.0f" % (3.141592653589793) # typecode='f' precision='0' width='10' flags='-' + '3 ' + + :: + + >>> "%*d" % (5, 32) # typecode='d' width='5' + ' 32' + + >>> "%d %*d %d" % (1, 8, 8231, 3) + '1 8231 3' + + >>> "%f, %.2f, %.*f" % (1/3.0, 1/3.0, 4, 1/3.0) + '0.333333, 0.33, 0.3333' + + >>> n = """ + ... %15s : %-10s + ... %15s : %-10s + ... """ + >>> v = ("First name", "Richard", "Last name", "Stallman") + >>> print(n % v) + + First name : Richard + Last name : Stallman + + >>> + + + +.. _python-string-formatting-new: + +فراخوانی متد ``()format`` - با الگو ``(format(values."...{}..."`` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + در این قالب اشیا، آرگومان‌های یک متد مشخص هستند و با استفاده اندیس موقعیت‌ یا نام آن‌ها داخل ``{}`` در رشته جایگذاری می‌گردند:: + + >>> '{0} {1} {2}'.format("Python", "Programming", "Language") + 'Python Programming Language' + + :: + + >>> reply = """ + ... Greetings... + ... Hello {name}! + ... Your age is {age} + ... """ + >>> print(reply.format(age=40, name='Bob')) + + Greetings... + Hello Bob! + Your age is 40 + + >>> + + :: + + >>> "{0} version {v}".format("Python", v="3.4") + 'Python version 3.4' + + .. caution:: + همانطور که در درس تابع‌ خواهیم آموخت؛ بدون نیاز به رعایت ترتیب می‌توان آرگومان‌ها را با انتساب مقدار مورد نظر به آن‌ها ارسال نمود. + + + با هر ترتیبی می‌توان اشیا را جایگذاری نمود:: + + >>> '{2}, {1}, {0}'.format('a', 'b', 'c') + 'c, b, a' + + چنانچه بخواهیم اشیا به ترتیبی که در آرگومان متد قرار دارد جایگذاری شوند؛ نیازی به ذکر اندیس یا نام آرگومان نمی‌باشد:: + + >>> '{}, {}, {}'.format('a', 'b', 'c') + 'a, b, c' + + با آوردن یک ``*`` پشت آرگومانی که یک شی دنباله است (مانند شی رشته) می‌توان اعضای آن را دستیابی نمود. البته چنانچه بخواهیم از آرگومان‌های دیگری نیز استفاده کنیم لازم است آن‌ها در ابتدای متد قرار داشته باشند که در این صورت شمارش اندیس از آن‌ها شروع می‌گردد؛ به نمونه کد پایین توجه نمایید:: + + >>> '{2}, {1}, {0}'.format(*'abc') + 'c, b, a' + + >>> '{2}, {1}, {0}'.format(*'python') + 't, y, p' + + >>> '{2}, {1}, {0}'.format('z', *'abc') + 'b, a, z' + + + بخش درون رشته این قالب نیز ساختاری مشابه پایین دارد:: + + {fieldname !conversionflag :formatspec} + +* fieldname - اندیس یا نام آرگومان است. +* conversionflag! - می‌تواند یکی از حروف ``r`` و ``s`` باشد که به ترتیب ``()repr`` و ``()str`` را بر روی شی فراخوانی می‌کنند. توجه داشته باشید که این حروف با ``!`` شروع می‌شوند:: + + >>> "repr() shows quotes: {!r}; str() doesn't: {!s}".format('test1', 'test2') + "repr() shows quotes: 'test1'; str() doesn't: test2" + +* formatspec: - چگونگی درج شی در رشته را تعیین می‌کند. با ``:`` شروع می‌شود و خود ساختاری به مانند پایین دارد:: + + [[fill]align][sign][#][0][width][,][.precision][typecode] + +* در هر استفاده وجود هر یک از ``[ ]`` ها اختیاری است یا بستگی به مورد استفاده دارد. +* fill - می‌تواند هر کاراکتر قابل چاپی باشد - از این گزینه برای پر کردن فضای خالی که توسط width ایجاد گردیده، استفاده می‌شود. +* align - می‌تواند یکی از کاراکترهای ``<``، ``>`` یا ``^`` باشد که به ترتیب بیانگر حالت راست‌چین، چپ‌چین و وسط‌چین می‌باشند. width نیز پس از آن‌ها آورده می‌شود که میزان اندازه رشته را تعیین می‌کند. + + :: + + >>> '{0:<30}'.format('left aligned') # align='<' width='30' + 'left aligned ' + + >>> '{0:>30}'.format('right aligned') # align='>' width='30' + ' right aligned' + + >>> '{0:^30}'.format('centered') # align='^' width='30' + ' centered ' + + >>> '{0:*^30}'.format('centered') # align='^' width='30' fill='*' + '***********centered***********' + +* sign - برای نمایش علامت اعداد کاربرد دارد و می‌تواند یکی از نمادهای ``+``، ``−`` یا یک فضا خالی (Space) باشد. به این صورت که: ``+`` علامت تمام اعداد مثبت و منفی را درج می‌کند و ``−`` نیز تنها موجب درج علامت اعداد منفی می‌شود. در صورت استفاده از فضای خالی، علامت اعداد منفی درج شده ولی به جای علامت اعداد مثبت یک کاراکتر فضای خالی وارد می‌شود. + + :: + + >>> '{0:+f}; {1:+f}'.format(3.14, -3.14) # typecode='f' sign='+' + '+3.140000; -3.140000' + + >>> '{0:-f}; {1:-f}'.format(3.14, -3.14) # typecode='f' sign='-' + '3.140000; -3.140000' + + >>> '{0: f}; {1: f}'.format(3.14, -3.14) # typecode='f' sign=' ' + ' 3.140000; -3.140000' + +* برخلاف قالب قبلی، می‌توان تبدیل پایه دو را هم داشته باشیم. تبدیل پایه در این قالب با استفاده از حروف ``b`` (پایه دو)، ``o`` (حرف اُ کوچک - پایه هشت) و ``x`` یا ``X`` (پایه شانزده) انجام می‌شود. چنانچه یک نماد ``#`` به پیش از آن‌ها افزوده شود، پیشوند پایه نیز درج می‌گردد:: + + >>> "int: {0:d}; hex: {0:x}; oct: {0:o}; bin: {0:b}".format(42) + 'int: 42; hex: 2a; oct: 52; bin: 101010' + + >>> "int: {0:d}; hex: {0:#x}; oct: {0:#o}; bin: {0:#b}".format(42) + 'int: 42; hex: 0x2a; oct: 0o52; bin: 0b101010' + +* با استفاده از یک ``,`` (کاما Comma) می‌توان یک عدد را سه رقم سه رقم از سمت راست جدا نمود:: + + >>> '{0:,}'.format(1234567890) + '1,234,567,890' + +* بخش‌هایی از قالب قبلی در این قالب نیز تعریف شده‌ است. گزینه‌های precision ،typecode. و width به همان صورتی هستند که در قالب قبلی بیان گشته است. البته موارد typecode کمی کمتر است؛ به عنوان نمونه در این قالب کد ``i`` وجود ندارد و تنها می‌توان از ``d`` برای اعداد صحیح در پایه ده استفاده کرد:: + + >>> '{0:06.2f}'.format(3.14159) # width='6' precision='.2' typecode='f' and [0] + '003.14' + >>> '{0:^8.2f}'.format(3.14159) # align='^' + ' 3.14 ' + +* برای بیان درصد می‌توان از ``%`` به جای ``f`` استفاده کرد:: + + >>> points = 19.5 + >>> total = 22 + >>> 'Correct answers: {0:.2%}'.format(points/total) + 'Correct answers: 88.64%' + + +* در قالب قبلی با استفاده از ``*`` می‌توانستیم گزینه‌های خود را در طرف دیگر مقداردهی نماییم؛ در قالب جدید برای این منظور می‌توان مانند کاری که برای جایگذاری اشیا انجام می‌دادیم، از ``{ }`` استفاده کرده و مقدار گزینه‌ها را در جایگاه آرگومان متد تعریف نماییم:: + + >>> text = "Right" + >>> align = ">" + >>> '{0:{fill}{align}16}'.format(text, fill=align, align=align) + '>>>>>>>>>>>Right' + +.. _python-fstring: + +f-string +~~~~~~~~~~ + +از نسخه پایتون 3.6 یک امکان جدید و بسیار جالب در بحث قالب‌بندی رشته‌ها ارايه شده است که با عنوان ``f-string`` شناخته می‌شود [`PEP 498 `__]. + +ساختار همان ساده شده حالت ``()str.format`` می‌باشد:: + + >>> name = "Saeid" + >>> age = 32 + >>> f"Hello, {name}. You are {age}." + 'Hello, Saeid. You are 32.' + >>> + +یعنی اگر در ابتدای یک متن، حرف ``f`` یا ``F`` قرار دهیم، آنگاه می‌توانیم متغیرها یا عبارات خود را مستقیم در داخل آن - با استفاده از ``{}`` - قرار بدهیم:: + + >>> f"{2 * 37}" + '74' + +بدیهی است که متغیرها (- یا نتیجه حاصل عبارات) یا اشیای مورد استفاده در شیوه **f-string** در نهایت برای قرار گرفتن درون متن یا رشته مورد نظر می‌بایست به نوع رشته تبدیل شوند. در این شیوه به صورت پیش‌فرض متد ``()__str__`` برای تبدیل به نوع رشته فراخوانی می‌شود ولی می‌توان با قرار دادن نشانگر ``r!`` در انتهای شی مورد نظر، تعیین کرد که متد ``()__repr__`` فراخوانی شود:: + + >>> name = 'Saeid' + >>> print(f'My name is {name}') + My name is Saeid + >>> print(f'My name is {name!r}') + My name is 'Saeid' + >>> + +در این شیوه می‌توان از نماد ``{}`` در خارج از اصول قالب‌بندی استفاده کرد ولی باید توجه داشت که هر دو نماد ``{{}}`` به عنوان یک ``{}`` در نظر گرفته می‌شود. وجود سه ``{{{}}}`` نیز در حکم همان دو تا می‌باشد:: + + >>> f'{{{{32}}}}' + '{{32}}' + >>> f'{{{32}}}' + '{32}' + >>> f'{{32}}' + '{32}' + >>> f'{32}' + '32' + +:: + + >>> print(f'{{My name}} is {name}') + {My name} is Saeid + + >>> print(f'{{My name}} is {{name}}') # NOTE! + {My name} is {name} + + >>> print(f'{{My name}} is {{{name}}}') + {My name} is {Saeid} + + >>> print(f'{{My name}} is {{{{name}}}}') # NOTE! + {My name} is {{name}} + + + +در نمونه کد پایین یک تابع را مستقیم در داخل متن موجود فراخوانی می‌کنیم:: + + >>> def to_lowercase(input): + ... return input.lower() + ... + >>> + >>> name = "Eric Idle" + >>> + >>> f"{to_lowercase(name)} is funny." + 'eric idle is funny.' + +:: + + >>> f"{name.lower()} is funny." + 'eric idle is funny.' + >>> + + +همچنین می‌توانیم هر یک از اشیا مورد استفاده در درون متن را با شیوه خاص آن شی، با قرار دادن یک ``:`` به صورت جداگانه قالب‌بندی نماییم:: + + + >>> a_float_number = 5.236501 + >>> print(f'{a_float_number:.4f}') + 5.2365 + >>> print(f'{a_float_number:.2f}') + 5.24 + >>> + +:: + + >>> a_int_number = 16 + >>> print(f'{a_int_number:05d}') + 00016 + >>> + +:: + + >>> import datetime + >>> now = datetime.datetime.now() + >>> print(f'{now:%Y-%m-%d %H:%M}') + 2019-10-20 10:37 + +در درس بیست و پنجم در مورد ماژول ``datetime`` صحبت خواهیم کرد. [`اسناد پایتون `__] + + +.. _python-string-methods: + +برخی از متدهای کاربردی یک شی رشته +----------------------------------------------- + +* ``()capitalize`` [`اسناد پایتون `__] - یک کپی از رشته که نخستین حرف آن به صورت بزرگ (Capital) نوشته شده است را برمی‌گرداند:: + + >>> a = "python string methods" + >>> a.capitalize() + 'Python string methods' + +* ``(center(width`` [`اسناد پایتون `__] - یک عدد صحیح که تعیین کننده اندازه رشته است گرفته و رشته را به صورت وسط‌چین شده درون این بازه برمی‌گرداند. در صورتی که اندازه تعیین شده کوچکتر از اندازه واقعی رشته ``(len(string`` باشد؛ رشته بدون تغییر بازگردانده می‌شود. این متد یک آرگومان اختیاری هم دارد که توسط آن می‌توان کاراکتری را برای پر کردن فضای خالی تعیین نمود:: + + >>> a = "python" + + >>> a.center(25) + ' python ' + + >>> a.center(25, "-") + '----------python---------' + + دو متد مشابه دیگر با الگو ``(rjust(width`` [`اسناد پایتون `__] و ``(ljust(width`` [`اسناد پایتون `__] نیز هستند که به ترتیب برای راست‌چین و چپ‌چین کردن متن رشته استفاده می‌شوند:: + + >>> a.rjust(25) + ' python' + + >>> a.ljust(25, ".") + 'python...................' + + +* ``(count(sub`` [`اسناد پایتون `__] - یک رشته را گرفته و تعداد وقوع آن در رشته اصلی را برمی‌گرداند. این متد دو آرگومان اختیاری نیز دارد که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: + + >>> a = "python string methods" + + >>> a.count("t") + 3 + >>> a.count("tho") + 2 + >>> a.count("tho", 15) # start=15 + 1 + >>> a.count("tho", 0, len(a) - 1) # start=0, end=20 + 2 + +* ``(endswith(suffix`` [`اسناد پایتون `__] - یک رشته را گرفته و چنانچه رشته اصلی با آن پایان یافته باشد مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند. این متد دو آرگومان اختیاری نیز دارد که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: + + >>> a = "Wikipedia, the free encyclopedia." + + >>> a.endswith(",") + False + >>> a.endswith(",", 0 , 10) # start=0, end=10 + True + >>> a.endswith("pedia.", 14) # start=14 + True + +* ``(find(sub`` [`اسناد پایتون `__] - یک رشته را گرفته و اندیس شروع آن را برای **نخستین** وقوع درون رشته اصلی برمی‌گرداند؛ در صورتی که آرگومان دریافتی در رشته اصلی یافت نشود مقدار ``1-`` برگردانده می‌شود. این متد دو آرگومان اختیاری نیز دارد که می‌توان نقطه شروع و پایان عمل این متد را مشخص نمود:: + + >>> a = "python programming language" + + >>> a.find("language") + 19 + >>> a.find("p") + 0 + >>> a.find("p", 6) # start=6 + 7 + >>> a.find("g", 18, len(a)-1) # start=18, end=27-1 + 22 + >>> a.find("saeid") + -1 + + متد مشابه دیگری نیز با الگو ``(rfind(sub`` [`اسناد پایتون `__] وجود دارد؛ ولی با این تفاوت که اندیس شروع آرگومان دریافتی را برای **آخِرین** وقوع درون رشته اصلی برمی‌گرداند:: + + >>> a.rfind("p") + 7 + >>> a.rfind("p", 6) + 7 + >>> a.rfind("g", 18, len(a)-1) + 25 + >>> a.rfind("saeid") + -1 + + در صورتی که نیازی به اندیس ندارید و تنها می‌خواهید وجود یک رشته را درون رشته‌ای مشخص بررسی نمایید؛ از عملگر ``in`` استفاده کنید:: + + >>> "language" in a + True + >>> "p" in a + True + >>> "saeid" in a + False + +* ``(index(sub`` [`اسناد پایتون `__] - همانند متد ``(find(sub`` است با این تفاوت که اگر آرگومان دریافتی در رشته اصلی یافت نشود یک خطا ``ValueError`` را گزارش می‌دهد:: + + >>> a = "python programming language" + + >>> a.index("python") + 0 + >>> a.index("python", 6) + Traceback (most recent call last): + File "", line 1, in + ValueError: substring not found + + متد دیگری نیز با الگو ``(rindex(sub`` [`اسناد پایتون `__] وجود دارد که مانند ``(rfind(sub`` عمل می‌کند ولی با این تفاوت که اگر آرگومان دریافتی در رشته اصلی یافت نشود یک خطا ``ValueError`` را گزارش می‌دهد:: + + >>> a.rindex("g", 18, len(a)-1) + 25 + + + +* ``(join(iterable`` [`اسناد پایتون `__] - یک دنباله با اعضایی تمام از نوع رشته را به صورت آرگومان دریافت می‌کند و با استفاده از رشته اصلی اعضای آن‌ را به یکدیگر پیوند داده و برمی‌گرداند:: + + >>> a = "-*-" + + >>> a.join("python") + 'p-*-y-*-t-*-h-*-o-*-n' + + >>> a.join(['p', 'y', 't', 'h', 'o', 'n']) # get a list of strings + 'p-*-y-*-t-*-h-*-o-*-n' + +* ``(split(sep`` [`اسناد پایتون `__] - یک کاراکتر را دریافت کرده و رشته را بر اساس آن از هم جدا کرده و به صورت یک شی لیست (list) برمی‌گرداند. این متد یک آرگومان اختیاری نیز دارد که می توان تعداد عمل جداسازی را تعیین نمود:: + + >>> a = "p-y-t-h-o-n" + + >>> a.split() + ['p-y-t-h-o-n'] + + >>> a.split("-") + ['p', 'y', 't', 'h', 'o', 'n'] + + >>> a.split("-", 2) + ['p', 'y', 't-h-o-n'] + + >>> '1,2,,3,'.split(',') + ['1', '2', '', '3', ''] + + متد مشابه دیگری نیز با الگو ``(rsplit(sep`` [`اسناد پایتون `__] وجود دارد ولی با این تفاوت که رشته را از سمت راست پیمایش می‌کند:: + + >>> a.rsplit("-") + ['p', 'y', 't', 'h', 'o', 'n'] + + >>> a.rsplit("-", 2) + ['p-y-t-h', 'o', 'n'] + +* ``(replace(old, new`` [`اسناد پایتون `__] - دو رشته به صورت آرگومان دریافت می‌کند؛ در تمام رشته اصلی بخش‌هایی که برابر مقدار آرگومان ``old`` هستند را با آرگومان ``new`` جایگزین می‌کند و سپس رشته جدید را برمی‌گرداند. این متد یک آرگومان اختیاری نیز دارد که می‌توان تعداد عمل جایگزینی را تعیین نمود:: + + >>> a = "He has a blue house and a blue car!" + + >>> a.replace("blue", "red") + 'He has a red house and a red car!' + + >>> a.replace("blue", "red", 1) + 'He has a red house and a blue car!' + + +* ``()lower`` [`اسناد پایتون `__] - تمام حروف الفبا انگلیسی موجود در رشته را به حرف **کوچک** تبدیل می‌کند و برمی‌گرداند:: + + >>> "CPython-3.4".lower() + 'cpython-3.4' + + + برعکس؛ متد ``()upper`` [`اسناد پایتون `__] تمام حروف الفبا انگلیسی موجود در رشته را به حرف **بزرگ** تبدیل می‌کند و برمی‌گرداند:: + + >>> "CPython-3.4".upper() + 'CPYTHON-3.4' + +* ``()islower`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یکی از حروف الفبا انگلیسی بوده و تمام حروف الفبا آن به صورت **کوچک** باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: + + >>> "python".islower() + True + >>> "python-3.4".islower() + True + >>> "Python".islower() + False + + + برعکس؛ متد ``()isupper`` [`اسناد پایتون `__] اگر رشته حداقل شامل یکی از حروف الفبا انگلیسی بوده و تمام حروف الفبا آن به صورت **بزرگ** باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: + + >>> "python".isupper() + False + >>> "Python".isupper() + False + >>> "PYTHON".isupper() + True + >>> "PYTHON-3.4".isupper() + True + + +* ``()isalpha`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از حروف الفبا انگلیسی (کوچک یا بزرگ) باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: + + >>> "python".isalpha() + True + >>> "python34".isalpha() + False + >>> "python 34".isalpha() + False + + +* ``()isalnum`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از عددهای ``0`` تا ``9`` یا حروف الفبا انگلیسی (کوچک یا بزرگ) باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: + + >>> "python34".isalnum() + True + >>> "python3.4".isalnum() + False + >>> "python-34".isalnum() + False + + +* ``()isdigit`` [`اسناد پایتون `__] - اگر رشته حداقل شامل یک کاراکتر بوده و تمام کاراکترهای آن تنها یکی از عددهای ``0`` تا ``9`` باشند مقدار ``True`` و در غیر این صورت ``False`` را برمی‌گرداند:: + + >>> "python34".isdigit() + False + >>> "34".isdigit() + True + >>> "3.4".isdigit() + False + +.. _python-string-types: + +انواع رشته +----------------- + +رشته در پایتون توسط سه نوع ارایه می‌گردد. :: + + >>> a = "python" + >>> type(a) + + + >>> a = b"python" + >>> type(a) + + + +* رشته‌های معمولی (حاوی کاراکترهای اَسکی و یونیکد) که تا این لحظه با آن‌ها کار می‌کردیم همگی توسط نوع ``str`` در پایتون معرفی شده‌اند. در واقع یک شی از کلاس ``str`` در پایتون هستند. +* داده‌های باینری: ``bytes`` - تمامی داده‌ها قابل چاپ نیستند، همانند داده‌های یک تصویر یا صوت. گاهی لازم است داده‌ها در همان شکل باینری مورد پردازش قرار بگیرند. نوع ``bytes`` در پایتون یک قابلیت برای ذخیره این دست داده‌ها می‌باشد که هر چند محدودیتی در کاربرد ندارد. +* نوع تغییر پذیر (Mutable) برای داده‌های باینری: ``bytearray`` - این نوع در واقع یک دنباله تغییر پذیر از نوع ``bytes`` است. + +در پایتون برای ایجاد نوع ``bytes`` می‌توان از حرف ``b`` در ابتدای رشته یا از کلاس ``()bytes`` [`اسناد پایتون `__] استفاده کرد. در استفاده از کلاس، لازم است که سیستم کدگذاری آن را نیز مشخص نماییم و بهتر است داده‌های عددی را نیز به شکل یک شی لیست ارسال نماییم:: + + + >>> b = b"python" + >>> b + b'python' + +:: + + >>> b = bytes("python", "utf-8") + >>> b + b'python' + + >>> c = bytes([97]) + >>> c + b'a' + +اکنون برای تبدیل نوع ``bytes`` به ``str`` نیاز به کدگشایی یا Decode کردن داده‌ها داریم؛ این کار را می‌توان با استفاده از متد ``()decode`` یا کلاس ``()str`` با مشخص کردن سیستم کدگشایی به انجام رساند:: + + >>> type(b) + + + >>> print(b) + b'python' + + >>> b.decode("utf-8") + 'python' + + >>> str(b, "utf-8") + 'python' + + +همانند کلاس ``()bytes`` این بار برای ایجاد نوع ``bytearray`` از کلاس ``()bytearray`` [`اسناد پایتون `__] استفاده می‌شود:: + + >>> # Python 3.x + + >>> b = bytearray("python", "utf-8") + + >>> b + bytearray(b'python') + + >>> print(b) + bytearray(b'python') + + >>> b[0] + 112 + >>> b[0] = 106 # 106='j' + + >>> b.decode("utf-8") + 'jython' + >>> str(b, "utf-8") + 'jython' + + + +| + +---- + +:emoji-size:`😊` امیدوارم مفید بوده باشه + + diff --git a/source/log.rst b/source/log.rst index 8a7d5ed..150de57 100644 --- a/source/log.rst +++ b/source/log.rst @@ -14,7 +14,18 @@ .. raw:: html -
      +

      00130 - جمعه ۲۵ فروردین ۱۴۰۲

      + +* درس هفتم مورد ویرایش قرار گرفت و بروزرسانی گردید. +* جهت کاهش محتوا و آسانی در مطالعه، درس هفتم در قالب دو صفحه مجزا ارایه گردید. + + + +---- + +.. raw:: html + +

      00129 - پنج‌شنبه ۲۴ فروردین ۱۴۰۲

      * بنابر تذکر آقای «محمد درویشی» متن زیر از درس دهم اصلاح گردید: diff --git a/source/preface.rst b/source/preface.rst index 0d5ab18..1096436 100644 --- a/source/preface.rst +++ b/source/preface.rst @@ -1,7 +1,7 @@ پیش‌گفتار ========== -آنچه در این کتاب گرد آمده، حاصل یادگیری‌های شخصی از منابع مختلف و در دسترس مرتبط با آموزش پایتون است؛ یک یادداشت شخصی ولی منسجم. با این حال نمی‌توان این کتاب را ترجمه یا برداشت از یک یا چند منبع مشخص دانست. چرا که هر موضوعی پیش از نوشتن، پیش‌نیازهای آن برآورد و کاملا با مستندات اصلی زبان پایتون هماهنگ شده است. این رویه درنهایت منجر به ایجاد طرحی جدا از منابع متداول آموزشی شده است به گونه‌ای که میتوان این کتاب را یک نسخه ساده شده و روان از مستندات پایتون همراه با پیش‌نیازهای آن به زبان پارسی در نظر گرفت! +آنچه در این کتاب گرد آمده، حاصل یادگیری‌های شخصی از منابع مختلف و در دسترس مرتبط با آموزش پایتون است؛ یک یادداشت شخصی ولی منسجم. با این حال نمی‌توان این کتاب را ترجمه یا برداشت از یک یا چند منبع مشخص دانست. چرا که هر موضوعی پیش از نوشتن، پیش‌نیازهای آن برآورد و کاملا با مستندات اصلی زبان پایتون هماهنگ شده است. این رویه درنهایت منجر به ایجاد طرحی جدا از منابع متداول آموزشی شده است، به گونه‌ای که می‌توان این کتاب را یک نسخه ساده شده و روان از مستندات پایتون همراه با پیش‌نیازهای آن به زبان پارسی در نظر گرفت! همانند پایتون، تمرکز این کتاب نیز بر سادگی گذاشته شده و تلاش گشته تا هر زمان که نیاز به دانستن موضوعی عمومی یا جدا از زبان پایتون بوده، آن موضوع نیز بیان شود. به همین دلیل، مطالعه این کتاب برای افرادی که پیش‌تر تجربه برنامه‌نویسی نداشته‌اند نیز کاملا مناسب خواهد بود. تمامی دروس سطح‌بندی شده‌اند و تا سطح متوسط برنامه‌نویسی با زبان پایتون را پوشش می‌دهند. سطوح در نظر گرفته شده در این کتاب عبارتند از: پایه (دروس یکم تا پنجم)، مقدماتی (دروس ششم تا یازدهم) و متوسط (دروس دوازدهم تا بیست و پنجم). From fbe8e836da5481d21d55ef6bae0f9f524018de07 Mon Sep 17 00:00:00 2001 From: Saeid Date: Sat, 15 Apr 2023 10:46:57 +0430 Subject: [PATCH 28/74] split l08 --- source/index.rst | 3 +- ...8.rst => l08-list-and-tuple-in-python.rst} | 855 +---------------- source/lessons/l08-set-and-dict-in-python.rst | 878 ++++++++++++++++++ 3 files changed, 890 insertions(+), 846 deletions(-) rename source/lessons/{l08.rst => l08-list-and-tuple-in-python.rst} (51%) create mode 100644 source/lessons/l08-set-and-dict-in-python.rst diff --git a/source/index.rst b/source/index.rst index 0150311..94beadf 100644 --- a/source/index.rst +++ b/source/index.rst @@ -36,7 +36,8 @@ lessons/l06-python-syntax lessons/l07-numeric-types-in-python lessons/l07-string-in-python - lessons/l08 + lessons/l08-list-and-tuple-in-python + lessons/l08-set-and-dict-in-python lessons/l09 lessons/l10 lessons/l11 diff --git a/source/lessons/l08.rst b/source/lessons/l08-list-and-tuple-in-python.rst similarity index 51% rename from source/lessons/l08.rst rename to source/lessons/l08-list-and-tuple-in-python.rst index 60b80f5..c19806a 100644 --- a/source/lessons/l08.rst +++ b/source/lessons/l08-list-and-tuple-in-python.rst @@ -1,24 +1,28 @@ .. role:: emoji-size .. meta:: - :description: کتاب آموزش زبان برنامه نویسی پایتون به فارسی، آموزش انواع داده در پایتون، آموزش انواع لیست (list)، تاپل (tuple)، دیکشنری (dict) در پایتون، دسته بندی انواع داده در پایتون - :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان داده در پایتون، list و tuple + :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان داده در پایتون, list در پایتون, tuple در پایتون -درس ۰۸: انواع داده یا شی در پایتون: set ،dict ،tuple ،list و None +.. _lesson-08.1: + +درس ۰۸: ساختمان داده در پایتون: list و tuple ==================================================================================== .. figure:: /_static/pages/08-python-built-in-data-types-2.jpg :align: center - :alt: انواع داده یا شی در پایتون: set ،dict ،tuple، list و None + :alt: درس ۰۸: ساختمان داده در پایتون: tuple و list :class: page-image Photo by `Natalia Y `__ + +از درس هفتم با انواع داده از پیش آماده در پایتون آشنا شده‌ایم و در این درس به ساختمان‌های داده در پایتون خواهیم پرداخت. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، تاپِل (tuple)، مجموعه (set) و دیکشنری (dict) -پایتون هر «نوع داده» (Data Type) را توسط یک کلاس ارایه می‌دهد؛ بنابراین هر داده یک نمونه یا یک شی از کلاسی مشخص است. هر چند برنامه‌نویس نیز می‌تواند با تعریف کلاس، نوع دلخواه خود را داشته باشد ولی در این درس می‌خواهیم درباره آن بخشی از انواع داده یا انواع شی‌ (Object Types) که به شکل آماده (Built-in) در اختیار مفسر زبان پایتون قرار داده شده است صحبت کنیم. -این درس در ادامه درس پیش به بررسی برخی از انواع دیگر پایتون به مانند «لیست»، «تاپل»، «دیکشنری» و «مجموعه» می‌پردازد. +به منظور جلوگیری از طولانی شدن متن درس و همینطور سادگی در مطالعه، محتوا این درس در قالب دو بخش ارایه می‌شود که بخش نخست تنها به شرح لیست (list) و تاپِل (tuple) خواهد پرداخت. + @@ -1036,850 +1040,11 @@ >>> type(t) - -دیکشنری ---------- - -یکی دیگر از انواع انعطاف پذیر آماده در پایتون «**دیکشنری**» (Dictionary) می‌باشد که با نام کوتاه شده ``dict`` ارایه شده است. اشیا نوع دیکشنری با استفاده از نماد آکولاد ``{ }`` معرفی‌ می‌شوند و هر داده در آن به شکل یک جفت «**کلید:مقدار**» (key:value) ذخیره می‌گردد. از این نوع شی با عنوان شی mapping (نگاشت) پایتون نیز یاد می‌شود چرا که در این نوع هر شی «کلید» به یک شی «مقدار» map یا نگاشت داده می‌شود. شی دیکشنری دنباله نیست ولی تغییر پذیر بوده و «مقدار» هر عضو توسط «کلید» متناظر با آن دستیابی می‌شود. شی «مقدار» می‌تواند از هر نوعی باشد حتی یک شی دیکشنری دیگر ولی شی «کلید» تنها می‌بایست از انواع «تغییر ناپذیر» انتخاب شود و باید توجه داشت که تمام «کلید»‌های یک شی دیکشنری می‌بایست «**یکتا**» (Unique) باشند. - -:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> type(d) - - - >>> d - {1: 'One', 2: 'Two', 3: 'Three'} - - >>> print(d) - {1: 'One', 2: 'Two', 3: 'Three'} - - >>> import sys - >>> sys.getsizeof(d) - 288 - -در نمونه کد بالا؛ اشیا ``1``، ``2`` و ``3`` کلید‌های شی ``d`` هستند که به ترتیب با اشیای ``'One'`` و ``'Two'`` و ``'Three'`` نگاشت شده‌اند. برای دستیابی هر مقدار شی دیکشنری ``dic`` از الگو ``[dic[key`` استفاده می‌کنیم که ``key`` در آن، کلید متصل به مقدار مورد نظر می‌باشد:: - - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d[0] - Traceback (most recent call last): - File "", line 1, in - KeyError: 0 - - >>> d[1] - 'One' - - >>> d[3][2:] - 'ree' - - -``[d[3`` اشاره به مقدار ``'Three'`` دارد؛ و از آنجا که این شی یک دنباله است می‌توان به روش دنباله‌ها (یعنی با استفاده از اندیس موقعیت) عضوهای این شی را نیز دستیابی نماییم. - - -به چند مثال دیگر توجه نمایید:: - - >>> d = {} # An empty dictionary - >>> d - {} - -:: - - >>> d = {'name': 'Bob', 'age': 40} - - >>> d['name'] - 'Bob' - >>> d['age'] - 40 - -:: - - >>> d = {'cb4f2': {'name': 'Bob', 'age': 40}} - - >>> d['cb4f2']['age'] - 40 - - - -ساختار نوع دیکشنری مشابه «جدول درهم‌سازی» (`Hash table `_) است و کاربرد‌های فراوانی در الگوریتم‌های جستجو دارد. از این نوع همچنین می‌توان برای سازماندهی و ذخیره داده‌ها بر روی فایل استفاده کرد؛ برای نمونه فرض کنید می‌خواهیم چند فیلم با بازی Benedict Cumberbatch را به گونه‌ای در اختیار داشته باشیم که بتوانیم آن‌ها را بر اساس سال ساخت دستیابی نماییم:: - - >>> benedict_cumberbatch = {'2014':'The Imitation Game', - ... '2013':('The Fifth Estate', '12 Years a Slave', 'Star Trek Into Darkness'), - ... '2012':'The Hobbit: An Unexpected Journey', - ... '2011':('War Horse', ' Wreckers', 'Tinker Tailor Soldier Spy')} - >>> - - >>> benedict_cumberbatch['2014'] - 'The Imitation Game' - - >>> len(benedict_cumberbatch['2011']) - 3 - - >>> benedict_cumberbatch['2011'][0] - 'War Horse' - - -از تابع ``()len`` نیز می‌توان برای به دست آوردن تعداد عضوهای شی دیکشنری (جفتِ کلید:مقدار) استفاده کرد:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> len(d) - 3 - -با انتساب یک مقدار جدید به یک کلید موجود از شی دیکشنری می‌توان مقدار آن کلید را تغییر داد و با انتساب یک مقدار به یک کلید جدید که در شی دیکشنری وجود ندارد یک عضو جدید به آن شی افزوده می‌شود:: - - >>> d = {'name': 'Bob', 'age': 40} - - >>> d['name'] = 'Jhon' - >>> d - {'name': 'Jhon', 'age': 40} - - >>> d['job'] = 'unemployed' - >>> d - {'name': 'Jhon', 'job': 'unemployed', 'age': 40} - -*برخلاف شی لیست یا تاپل (یا در کل دنباله‌ها) که داده‌هایی منظم (Ordered) هستند و ترتیب یا جایگاه قرار گرفتن عضوهای آن‌ها اهمیت دارد، یک شی دیکشنری این طور نیست و ترتیب عضوها در آن کاملا بی اهمیت است.* - -با استفاده از دستوری مشابه ``[del dic[key`` نیز می‌توان یک عضو شی دیکشنری را حذف کرد:: - - >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} - - >>> del d['job'] - >>> d - {'name': 'Jhon', 'age': 40} - - -امکانی برای تغییر کلیدها وجود ندارد مگر آنکه عضو مورد نظر را حذف کرده و یک عضو جدید (همان مقدار ولی با کلیدی جدید) اضافه نمایید:: - - >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} - - >>> d['occupation'] = d['job'] - >>> del d['job'] - - >>> d - {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} - -.. rubric:: عملگرها برای دیکشنری - -عملگرهای ``+`` و ``*`` برای اشیا دیکشنری تعریف **نشده‌اند**. - -از عملگرهای عضویت می‌توان برای بررسی وجود یک **کلید** در شی دیکشنری استفاده کرد:: - - >>> 'job' in {'name': 'Bob', 'age': 40} - False - - >>> 'job' not in {'name': 'Bob', 'age': 40} - True - -در مورد عملکرد عملگر برابری ``==`` و عملگرهای هویت (``is`` و ``is not``) صحبت شده است؛ این عملگرها برای اشیا دیکشنری نیز کاربرد دارند. - - -.. rubric:: کپی کردن - -همانطور که گفته شد شی دیکشنری از انواع «تغییر پذیر» پایتون است و همان توضیحاتی که در مورد شی لیست بیان شد؛ در اینجا هم درست است و گاهی نیاز می‌شود که از ماژول ``copy`` برای کپی اشیا دیکشنری استفاده نماییم: - -* بدون کپی کردن:: - - >>> d1 = {'name': 'Bob', 'age': 40} - - >>> d2 = d1 - - >>> d1 == d2 - True - >>> d1 is d2 - True - - >>> d1['age'] = 46 - - >>> d1 - {'name': 'Bob', 'age': 46} - >>> d2 - {'name': 'Bob', 'age': 46} - - -* کپی سطحی:: - - >>> d1 = {'name': 'Bob', 'age': 40} - - >>> import copy - >>> d2 = copy.copy(d1) # shallow copy - - >>> d1 == d2 - True - >>> d1 is d2 # False! - False - - >>> d1['age'] = 46 - - >>> d1 - {'name': 'Bob', 'age': 46} - >>> d2 - {'name': 'Bob', 'age': 40} - - :: - - >>> d1 = {'names': ['Bob', 'Jhon'], 'ages': [40, 40]} - - >>> import copy - >>> d2 = copy.copy(d1) # shallow copy - - >>> d1 == d2 - True - >>> d1 is d2 # False! - False - - >>> d1['ages'][0] = 46 - - >>> d1 - {'ages': [46, 40], 'names': ['Bob', 'Jhon']} - - >>> # d2 has changed! - >>> d2 - {'ages': [46, 40], 'names': ['Bob', 'Jhon']} - -* کپی عمیق:: - - >>> d1 = {'names': ['Bob', 'Jhon'], 'ages': [40, 40]} - - >>> import copy - >>> d2 = copy.deepcopy(d1) # deep copy - - >>> d1 == d2 - True - >>> d1 is d2 # False! - False - - >>> d1['ages'][0] = 46 - - >>> d1 - {'ages': [46, 40], 'names': ['Bob', 'Jhon']} - >>> d2 - {'ages': [40, 40], 'names': ['Bob', 'Jhon']} - - -.. rubric:: تبدیل به شی دیکشنری - -برای تبدیل دیگر اشیا به نوع دیکشنری یا در کل ایجاد شی دیکشنری از کلاس ``()dict`` [`اسناد پایتون `__] استفاده می‌شود. توجه داشته باشید که عضوهای شی دیکشنری از طریق آرگومان‌ها و به شکل «**کلید=مقدار**» به کلاس فرستاده می‌شوند:: - - >>> d = dict(one=1, two=2, three=3) - - >>> d - {'two': 2, 'one': 1, 'three': 3} - >>> d['one'] - 1 - -*در این حالت برای انتخاب کلیدها باید قوانین انتخاب نام در پایتون را رعایت نماییم؛ برای مثال کلیدی که با عدد شروع شود مجاز نمی‌باشد.* - -برای فرستادن کلیدها و مقدارها می‌توانیم از تابع ``()zip`` [`اسناد پایتون `__] استفاده کنیم و خروجی این تابع را به عنوان آرگومان به کلاس ``dict`` ارسال کنیم. می‌توان اینگونه تصور کرد که این تابع تعدادی شی دنباله را می‌گیرد و عضوهای نظیر به نظیر آن‌ها را در کنار هم قرار می‌دهد؛ این دنباله‌ها باید تعداد عضو برابری داشته باشند؛ چرا که عضوهای اضافی هر دنباله نادیده گرفته می‌شود. خروجی ``()zip`` یک شی جدید از نوع ``zip`` است و برای مشاهده معمولا آن را به نوع لیست تبدیل می‌کنند:: - - >>> k = [1, 2, 3, 4, 5] - >>> v = ['x', 'y', 'z'] - - >>> z = zip(k, v) - - >>> z - - - >>> type(z) - - - >>> list(z) - [(1, 'x'), (2, 'y'), (3, 'z')] - -:: - - >>> k = (1, 2, 3) - >>> v = ('One', 'Two', 'Three') - - >>> d = dict(zip(k, v)) - - >>> d - {1: 'One', 2: 'Two', 3: 'Three'} - -در آینده باز هم از تابع ``()zip`` استفاده خواهیم کرد. - - - - -.. rubric:: برخی از متدهای کاربردی یک شی دیکشنری - -* ``()items`` [`اسناد پایتون `__] تمام عضوهای شی را برمی‌گرداند - ``()values`` [`اسناد پایتون `__] تمام مقدارهای موجود در شی را بر می‌گرداند - ``()keys`` [`اسناد پایتون `__] تمام کلیدهای موجود در شی را بر می‌گرداند:: - - >>> # Python 3.x - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.items() - dict_items([(1, 'One'), (2, 'Two'), (3, 'Three')]) - - >>> d.values() - dict_values(['One', 'Two', 'Three']) - - >>> d.keys() - dict_keys([1, 2, 3]) - - توجه داشته باشید که در نسخه‌های 3x پایتون خروجی این متدها از نوع متفاوتی است که با استفاده از ``()type`` می‌توانید مشاهده کنید؛ این نوع ``dict_view`` نامیده می‌شود [`اسناد پایتون 3x `__]. این متدها یک کپی از داده‌های مورد نظر (عضوها یا مقدارها یا کلیدها) را بر نمی‌گردانند بلکه می‌توان گفت پنجره‌ای برای مشاهده آنچه که هست باز می‌کنند و در هر زمان که این داده‌ها تغییر کنند این خروجی‌ها نیز تغییر می‌کنند. برای مشاهده بهتر این خروجی‌ها می‌توانید آن‌ها را به نوع لیست تبدیل نمایید:: - - >>> list(d.items()) - [(1, 'One'), (2, 'Two'), (3, 'Three')] - - >>> list(d.values()) - ['One', 'Two', 'Three'] - - >>> list(d.keys()) - [1, 2, 3] - - این متدها در پایتون 2x چنین خروجی ندارند و تنها یکی کپی از داده‌ها را برمی‌گردانند. البته در نسخه 2.7 متدهای معادلی با عنوان‌های ``()viewitems`` [`اسناد پایتون `__] و ``()viewvalues`` [`اسناد پایتون `__] و ``()viewkeys`` [`اسناد پایتون `__] پورت شده است:: - - >>> # Python 2.7 - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.viewitems() - dict_items([(1, 'One'), (2, 'Two'), (3, 'Three')]) - - >>> d.viewvalues() - dict_values(['One', 'Two', 'Three']) - - >>> d.viewkeys() - dict_keys([1, 2, 3]) - - :: - - >>> # Python 2.x - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.items() - [(1, 'One'), (2, 'Two'), (3, 'Three')] - - >>> d.values() - ['One', 'Two', 'Three'] - - >>> d.keys() - [1, 2, 3] - - - -* ``()clear`` [`اسناد پایتون `__] - تمام عضوهای یک شی دیکشنری را حذف می‌کند:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.clear() - >>> d - {} - -* ``()copy`` [`اسناد پایتون `__] - این متد یک کپی سطحی از شی برمی‌گرداند:: - - >>> d1 = {'name':'Bob'} - - >>> d2 = d1.copy() - - >>> d1 is d2 - False - -* ``(fromkeys(seq`` [`اسناد پایتون `__] - یک دنباله از کلیدها را دریافت و یک شی جدید دیکشنری با استفاده از آن‌ها ایجاد می‌کند؛ البته کلیدهای این شی فاقد مقدار هستند که می‌بایست در زمانی دیگر به آن‌ها مقدار داد:: - - >>> k = (1, 2, 3) # or k=[1, 2, 3] or k='123' - - >>> dict.fromkeys(k) - {1: None, 2: None, 3: None} - - - توجه داشته باشید که این متد توسط خود کلاس ``dict`` فراخوانی می‌شود. - - این متد یک آرگومان اختیاری نیز دارد که توسط آن می‌توان یک شی را به عنوان «مقدار» پیش‌فرض کلید‌ها تعیین نمود:: - - >>> k = (1, 2, 3) - - >>> dict.fromkeys(k, '-*-') - {1: '-*-', 2: '-*-', 3: '-*-'} - -* ``(pop(key`` [`اسناد پایتون `__] - عضو دارنده کلید ``key`` را حذف و مقدار آن را برمی‌گرداند. چنانچه عضوی با این کلید یافت نشود شی پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) را برمی‌گرداند و اگر این آرگومان ارسال نشده باشد یک خطا گزارش می‌دهد:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.pop(2) - 'Two' - >>> d - {1: 'One', 3: 'Three'} - - >>> d.pop(2) - Traceback (most recent call last): - File "", line 1, in - KeyError: 2 - - >>> d.pop(2, 'Oops!') - 'Oops!' - - - از این متد می‌توان برای تغییر راحت‌تر کلیدها استفاده کرد!:: - - >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} - - >>> d['occupation'] = d.pop('job') - - >>> d - {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} - - متد مشابه دیگری نیز با نام ``()popitem`` [`اسناد پایتون `__] - که بدون آرگومان است - در دسترس می‌باشد؛ این متد در هر فراخوانی یک عضو از شی مورد نظر را به صورت دلخواه حذف و به شکل تاپل (key, value) برمی‌گرداند و چنانچه دیکشنری خالی باشد یک خطا ``KeyError`` گزارش می‌دهد:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.popitem() - (1, 'One') - -* ``(get(key`` [`اسناد پایتون `__] - مقدار مربوط به کلید ``key`` را برمی‌گرداند. چنانچه درون شی مورد نظر هیچ عضوی با این کلید وجود نداشته باشد شی پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) را برمی‌گرداند و اگر این آرگومان ارسال نشده باشد هیچ خطایی گزارش **نمی‌دهد**:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.get(1) - 'One' - - >>> d.get(0) - >>> - - >>> d.get(0, False) - False - - -* ``(setdefault(key`` [`اسناد پایتون `__] - مقدار مربوط به کلید ``key`` را برمی‌گرداند. چنانچه عضوی با این کلید درون شی مورد نظر وجود نداشته باشد، کلید را به همراه مقدار پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) درون شی اضافه می‌کند و خود این مقدار را برمی‌گرداند؛ اگر آرگومان دوم ارسال نشده باشد به صورت پیش‌فرض مقدار ``None`` در نظر گرفته خواهد شد:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.setdefault(1) - 'One' - >>> d - {1: 'One', 2: 'Two', 3: 'Three'} - - >>> d.setdefault(5) - >>> d - {1: 'One', 2: 'Two', 3: 'Three', 5: None} - - >>> d.setdefault(7, 'Seven') - 'Seven' - >>> d - {1: 'One', 2: 'Two', 3: 'Three', 5: None, 7: 'Seven'} - - - -* ``()update`` [`اسناد پایتون `__] - یک شی دیکشنری دیگر را به عنوان آرگومان می‌گیرد و عضوهای شی مورد نظر را بر اساس آن تغییر می‌دهد:: - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d2 = {5:'Five', 6:'Six'} - >>> d.update(d2) - >>> d - {1: 'One', 2: 'Two', 3: 'Three', 5: 'Five', 6: 'Six'} - - >>> d3 = {1:'0001'} - >>> d.update(d3) - >>> d - {1: '0001', 2: 'Two', 3: 'Three', 5: 'Five', 6: 'Six'} - - - -مجموعه --------- - -«**مجموعه**» (Set) از انواع «نامنظم» (Unordered) و «تغییر پذیر» (Mutable) پایتون است که معادل مفهوم مجموعه در ریاضیات می‌باشد. **هر عضو مجموعه می‌بایست یکتا و یکی از انواع «تغییر ناپذیر» باشد**. نوع مجموعه یا ``set`` در نسخه‌ 3x با کمی تفاوت ارایه شده است. در نسخه‌های 2x تنها می‌توان با استفاده از کلاس ``()set`` [`اسناد پایتون `__] اقدام به ایجاد این اشیا نمود در حالی که در پایتون 3x این کار به سادگی و تنها با استفاده از نماد آکولاد ``{ }`` نیز امکان پذیر شده است؛ (البته این ویژگی به نسخه 2.7 هم پورت شده است). در دو نمونه کد پایین به چگونگی تعریف و نمایش شی مجموعه توجه نمایید: - -*نسخه‌های 2x:* - -:: - - >>> L = [1, 2, 3, 4, 5] - - >>> s = set(L) - - >>> type(s) - - - >>> s - set([1, 2, 3, 4, 5]) - - >>> print s - set([1, 2, 3, 4, 5]) - -:: - - >>> s = {1, 2, 3, 4, 5} # Python 2.7 - - >>> type(s) - - - >>> s - set([1, 2, 3, 4, 5]) - - -*نسخه‌های 3x:* - -:: - - >>> L = [1, 2, 3, 4, 5] - - >>> s = set(L) - - >>> type(s) - - - >>> s - {1, 2, 3, 4, 5} - - >>> print(s) - {1, 2, 3, 4, 5} - -:: - - >>> s = {1, 2, 3, 4, 5} - - >>> type(s) - - - >>> s - {1, 2, 3, 4, 5} - -هیچ سینتکس خاصی برای ایجاد یا بیان یک شی خالی از نوع مجموعه وجود ندارد و تنها می‌بایست از کلاس ``()set`` - بدون آرگومان - استفاده کرد. توجه داشته باشید که ``{}`` بیانگر یک شی دیکشنری خالی است و نه یک مجموعه خالی:: - - >>> a = {} # Python 2.x - >>> type(a) - - - >>> b = set() - >>> type(b) - - - >>> b - set([]) - -:: - - >>> a = {} # Python 3.x - >>> type(a) - - - >>> b = set() - >>> type(b) - - - >>> b - set() - - -از تابع ``()len`` می‌توان برای به دست آوردن تعداد عضوهای یک شی مجموعه نیز استفاده کرد:: - - >>> s = {1, 2, 3, 4, 5} - >>> len(s) - 5 - - - -.. rubric:: عملگرها برای مجموعه - -تعدادی از عملگرها هستند که برای اشیا مجموعه تعریف خاصی پیدا می‌کنند؛ در حالی که در مورد اشیا دیگر چنین رفتاری ندارند. این عملگرها در واقع پیاده‌سازی تعریف مشخصی در مفهوم ریاضی مجموعه‌ها هستند: - -* ``|`` اجتماع (Union): مانند ``A | B`` که حاصل آن مجموعه‌ای می‌باشد که تمام عضوهای مجموعه ``A`` و مجموعه ``B`` را داشته باشد و هیچ عضو اضافه دیگری نداشته باشد. - - >>> A | B - {'w', 'y', 'q', 't', 'r', 'z', 's', 'v', 'u', 'x'} - -* ``&`` اشتراک (Intersection): مانند ``A & B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی است که هم در مجموعه ``A`` هستند و هم در مجموعه ``B``:: - - >>> A & B - {'w', 'v', 'u'} - - -* ``-`` تفاضل (Difference): مانند ``A - B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی از مجموعه ``A`` است كه در مجموعه ``B`` نيستند:: - - >>> A = {'u', 'v', 'w', 'x', 'y', 'z'} - >>> B = {'q', 'r', 's', 't', 'u', 'v', 'w',} - - >>> A - B - {'z', 'y', 'x'} - - -* ``^`` تفاضل متقارن (Symmetric difference): مانند ``A ^ B`` که حاصل آن مجموعه‌ای می‌باشد که برابر اجتماع ِ تفاضل ``A`` از ``B`` و تفاضل ``B`` از ``A`` می‌باشد یعنی: ``(A-B) | (B-A)``:: - - >>> A ^ B - {'q', 'y', 't', 'r', 'z', 's', 'x'} - - :: - - >>> (A-B) | (B-A) - {'y', 'q', 't', 'r', 'z', 'x', 's'} - - - تفاضل متقارن را می‌توان به صورت پایین نیز تعریف کرد:: - - >>> (A|B) - (B&A) - {'y', 'q', 't', 'r', 'z', 's', 'x'} - -* ``>`` زیرمجموعه (Subset): مانند ``A < B`` که اگر مجموعه ``A`` زیرمجموعه‌ای از مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند. در مقابل عملگر ``<`` قرار دارد که برای مثال در عبارت ``A > B`` اگر مجموعه ``A`` یک Superset برای مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند:: - - >>> A = {1, 2, 3, 4, 5} - >>> B = {1, 2, 3} - - >>> A < B - False - - >>> A > B - True - -برخی از عملگرهای عمومی نیز برای اشیا مجموعه قابل استفاده هستند:: - - >>> A = {'a', 'b', 'c'} - - >>> 'a' in A - True - >>> 'c' not in A - False - -:: - - >>> A = {1, 2, 3, 4, 5} - >>> B = {1, 2, 3} - - >>> A == B - False - - >>> C = A - - >>> A == C - True - - >>> A is C - True - -.. rubric:: برخی از متدهای کاربردی یک شی مجموعه - - -* ``()union`` [`اسناد پایتون `__] - تعدادی شی مجموعه را دریافت می‌کند و یک مجموعه جدید که برابر اجتماع شی مورد نظر با آن‌ها است را برمی‌گرداند:: - - >>> A = {'a', 'b', 'c'} - >>> B = {1, 2, 3} - - >>> {'t', 1, 'a'}.union(A, B) - {'a', 1, 2, 3, 't', 'b', 'c'} - - >>> {'t', 1, 'a'} | A | B - {1, 2, 3, 'b', 't', 'a', 'c'} - - به صورت مشابه می‌توان از متدهای ``()intersection`` [`اسناد پایتون `__] برای اشتراک، ``()difference`` [`اسناد پایتون `__] برای تفاضل، ``()symmetric_difference`` [`اسناد پایتون `__] - که تک آرگومانی است - برای تفاضل متقارن، ``()issubset`` [`اسناد پایتون `__] و ``()issuperset`` [`اسناد پایتون `__] - که هر دو تک آرگومانی هستند - برای بررسی زیرمجموعه یا Superset بودن استفاده کرد. - - - -* ``()clear`` [`اسناد پایتون `__] - تمام عضوهای یک شی مجموعه را حذف می‌کند:: - - >>> A = {'a', 'b', 'c'} - - >>> A.clear() - >>> A - set() - -* ``(add(x`` [`اسناد پایتون `__] - شی تغییر ناپذیر ``x`` را در صورتی که از قبل درون شی مجموعه مورد نظر وجود نداشته باشد به آن اضافه می‌کند:: - - >>> A = {'a', 'b', 'c'} - - >>> A.add(1) - >>> A - {'a', 'c', 1, 'b'} - -* ``(remove(x`` [`اسناد پایتون `__] - عضو ``x`` را از شی مجموعه مورد نظر حذف می‌کند. در صورتی که ``x`` درون مجموعه وجود نداشته باشد یک خطا گزارش می‌دهد:: - - >>> A = {'a', 'b', 'c', 1} - - >>> A.remove(1) - >>> A - {'c', 'a', 'b'} - - >>> A.remove(1) - Traceback (most recent call last): - File "", line 1, in - KeyError: 1 - - - متد مشابه دیگری نیز با الگو ``(discard(x`` [`اسناد پایتون `__] وجود دارد که این متد چنانچه ``x`` وجود داشته باشد آن را حذف می‌کند؛ بنابرین در صورت نبودن ``x`` خطایی گزارش نمی‌گردد:: - - >>> A = {'c', 'a', 'b'} - - >>> A.discard(1) - >>> A - {'b', 'a', 'c'} - - - -* ``()pop`` [`اسناد پایتون `__] - این متد آرگومانی ندارد و به صورت دلخواه یک عضو از مجموعه را حذف و به عنوان خروجی برمی‌گرداند. در مواردی که مجموعه خالی باشد یک خطا گزارش می گردد:: - - >>> A = {'a', 'b', 'c'} - - >>> A.pop() - 'a' - - :: - - >>> A.pop() - Traceback (most recent call last): - File "", line 1, in - KeyError: 'pop from an empty set' - - -.. rubric:: frozenset - -همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدها عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی تاپل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: - -*نسخه‌های 2x:* - -:: - - >>> L = [1, 2, 3] - - >>> A = frozenset(L) - - >>> type(A) - - - >>> A - frozenset([1, 2, 3]) - -*نسخه‌های 3x:* - -:: - - >>> L =[1, 2, 3] - - >>> A = frozenset(L) - - >>> type(A) - - - >>> A - frozenset({1, 2, 3}) - -با استفاده از تابع ``()dir`` می‌توان متوجه متدهای در دسترس شی ``frozenset`` شد:: - - >>> dir(frozenset) # Python 3.x - ['__and__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__or__', '__rand__', '__reduce__', '__reduce_ex__', '__repr__', '__ror__', '__rsub__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__xor__', 'copy', 'difference', 'intersection', 'isdisjoint', 'issubset', 'issuperset', 'symmetric_difference', 'union'] - - -NoneType ----------- - -این نوع شی فاقد مقدار است و با انتساب ثابت ``None`` [`اسناد پایتون `__] به یک نام ایجاد می‌گردد:: - - >>> n = None - - >>> type(n) - - - >>> print(n) - None - - >>> import sys - >>> sys.getsizeof(a) - 16 - - >>> n = 5 - >>> type(n) - - -``None`` در پایتون 3x جزو کلمه‌های کلیدی (keywords) تعریف شده است. - - -دسته‌بندی ------------ - -در این بخش به دسته‌بندی انواع شی بر اساس برخی از تعریف‌های پایتون پرداخته شده است. - - -* انواع عددی (Numeric Types): - - .. code-block:: html - :linenos: - - - int - - long (2.x) - - float - - complex - - Decimal - - Fraction - - bool - -* انواع دنباله (Sequence Types): - - .. code-block:: html - :linenos: - - - str - - unicode (2.x) - - bytes (3.x) - - bytearray (3.x/2.6+) - - tuple - - list - -* انواع تغییر ناپذیر (Immutable Types): - - .. code-block:: html - :linenos: - - - int - - long (2.x) - - float - - complex - - Decimal - - Fraction - - bool - - str - - unicode (2.x) - - bytes (3.x) - - tuple - - frozenset - - -* انواع تغییر پذیر (Mutable Types): - - .. code-block:: html - :linenos: - - - bytearray (3.x/2.6+) - - list - - dict - - set - -* انواع نگاشت (Mapping Types): - - .. code-block:: html - :linenos: - - - dict - -* انواع مجموعه (Set Types): - - .. code-block:: html - :linenos: - - - set - - frozenset - - -* برخی دیگر: - - .. code-block:: html - :linenos: - - - zip - - dict_views - - NoneType - -*در درس‌های بعد نیز با انواع آماده (Built-in) دیگری آشنا خواهیم شد.* - | ---- :emoji-size:`😊` امیدوارم مفید بوده باشه -`لطفا دیدگاه و سوال‌های مرتبط با این درس خود را در کدرز مطرح نمایید. `_ diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst new file mode 100644 index 0000000..dc4c139 --- /dev/null +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -0,0 +1,878 @@ +.. role:: emoji-size + +.. meta:: + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان داده در پایتون، set و dict + :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان داده در پایتون, set در پایتون, dict در پایتون + + +درس ۰۸: ساختمان داده در پایتون: set و dict +==================================================================================== + +.. figure:: /_static/pages/08-python-built-in-data-types-2.jpg + :align: center + :alt: درس ۰۸: ساختمان داده در پایتون: set و dict + :class: page-image + + Photo by `Natalia Y `__ + + +از درس هفتم با انواع داده از پیش آماده در پایتون آشنا شده‌ایم و در این درس به ساختمان‌های داده در پایتون خواهیم پرداخت. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، تاپِل (tuple)، مجموعه (set) و دیکشنری (dict) + +این بخش در ادامه شرح «لیست» و «تاپل» به شرح دو نوع دیگر از ساختمان‌های داده در پایتون می‌پردازد: «مجموعه» و «دیکشنری» + + + +:emoji-size:`✔` سطح: مقدماتی + +---- + +.. contents:: سرفصل‌ها + :depth: 2 + +---- + + +دیکشنری +--------- + +یکی دیگر از انواع انعطاف پذیر آماده در پایتون «**دیکشنری**» (Dictionary) می‌باشد که با نام کوتاه شده ``dict`` ارایه شده است. اشیا نوع دیکشنری با استفاده از نماد آکولاد ``{ }`` معرفی‌ می‌شوند و هر داده در آن به شکل یک جفت «**کلید:مقدار**» (key:value) ذخیره می‌گردد. از این نوع شی با عنوان شی mapping (نگاشت) پایتون نیز یاد می‌شود چرا که در این نوع هر شی «کلید» به یک شی «مقدار» map یا نگاشت داده می‌شود. شی دیکشنری دنباله نیست ولی تغییر پذیر بوده و «مقدار» هر عضو توسط «کلید» متناظر با آن دستیابی می‌شود. شی «مقدار» می‌تواند از هر نوعی باشد حتی یک شی دیکشنری دیگر ولی شی «کلید» تنها می‌بایست از انواع «تغییر ناپذیر» انتخاب شود و باید توجه داشت که تمام «کلید»‌های یک شی دیکشنری می‌بایست «**یکتا**» (Unique) باشند. + +:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> type(d) + + + >>> d + {1: 'One', 2: 'Two', 3: 'Three'} + + >>> print(d) + {1: 'One', 2: 'Two', 3: 'Three'} + + >>> import sys + >>> sys.getsizeof(d) + 288 + +در نمونه کد بالا؛ اشیا ``1``، ``2`` و ``3`` کلید‌های شی ``d`` هستند که به ترتیب با اشیای ``'One'`` و ``'Two'`` و ``'Three'`` نگاشت شده‌اند. برای دستیابی هر مقدار شی دیکشنری ``dic`` از الگو ``[dic[key`` استفاده می‌کنیم که ``key`` در آن، کلید متصل به مقدار مورد نظر می‌باشد:: + + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d[0] + Traceback (most recent call last): + File "", line 1, in + KeyError: 0 + + >>> d[1] + 'One' + + >>> d[3][2:] + 'ree' + + +``[d[3`` اشاره به مقدار ``'Three'`` دارد؛ و از آنجا که این شی یک دنباله است می‌توان به روش دنباله‌ها (یعنی با استفاده از اندیس موقعیت) عضوهای این شی را نیز دستیابی نماییم. + + +به چند مثال دیگر توجه نمایید:: + + >>> d = {} # An empty dictionary + >>> d + {} + +:: + + >>> d = {'name': 'Bob', 'age': 40} + + >>> d['name'] + 'Bob' + >>> d['age'] + 40 + +:: + + >>> d = {'cb4f2': {'name': 'Bob', 'age': 40}} + + >>> d['cb4f2']['age'] + 40 + + + +ساختار نوع دیکشنری مشابه «جدول درهم‌سازی» (`Hash table `_) است و کاربرد‌های فراوانی در الگوریتم‌های جستجو دارد. از این نوع همچنین می‌توان برای سازماندهی و ذخیره داده‌ها بر روی فایل استفاده کرد؛ برای نمونه فرض کنید می‌خواهیم چند فیلم با بازی Benedict Cumberbatch را به گونه‌ای در اختیار داشته باشیم که بتوانیم آن‌ها را بر اساس سال ساخت دستیابی نماییم:: + + >>> benedict_cumberbatch = {'2014':'The Imitation Game', + ... '2013':('The Fifth Estate', '12 Years a Slave', 'Star Trek Into Darkness'), + ... '2012':'The Hobbit: An Unexpected Journey', + ... '2011':('War Horse', ' Wreckers', 'Tinker Tailor Soldier Spy')} + >>> + + >>> benedict_cumberbatch['2014'] + 'The Imitation Game' + + >>> len(benedict_cumberbatch['2011']) + 3 + + >>> benedict_cumberbatch['2011'][0] + 'War Horse' + + +از تابع ``()len`` نیز می‌توان برای به دست آوردن تعداد عضوهای شی دیکشنری (جفتِ کلید:مقدار) استفاده کرد:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> len(d) + 3 + +با انتساب یک مقدار جدید به یک کلید موجود از شی دیکشنری می‌توان مقدار آن کلید را تغییر داد و با انتساب یک مقدار به یک کلید جدید که در شی دیکشنری وجود ندارد یک عضو جدید به آن شی افزوده می‌شود:: + + >>> d = {'name': 'Bob', 'age': 40} + + >>> d['name'] = 'Jhon' + >>> d + {'name': 'Jhon', 'age': 40} + + >>> d['job'] = 'unemployed' + >>> d + {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + +*برخلاف شی لیست یا تاپل (یا در کل دنباله‌ها) که داده‌هایی منظم (Ordered) هستند و ترتیب یا جایگاه قرار گرفتن عضوهای آن‌ها اهمیت دارد، یک شی دیکشنری این طور نیست و ترتیب عضوها در آن کاملا بی اهمیت است.* + +با استفاده از دستوری مشابه ``[del dic[key`` نیز می‌توان یک عضو شی دیکشنری را حذف کرد:: + + >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + + >>> del d['job'] + >>> d + {'name': 'Jhon', 'age': 40} + + +امکانی برای تغییر کلیدها وجود ندارد مگر آنکه عضو مورد نظر را حذف کرده و یک عضو جدید (همان مقدار ولی با کلیدی جدید) اضافه نمایید:: + + >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + + >>> d['occupation'] = d['job'] + >>> del d['job'] + + >>> d + {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} + +.. rubric:: عملگرها برای دیکشنری + +عملگرهای ``+`` و ``*`` برای اشیا دیکشنری تعریف **نشده‌اند**. + +از عملگرهای عضویت می‌توان برای بررسی وجود یک **کلید** در شی دیکشنری استفاده کرد:: + + >>> 'job' in {'name': 'Bob', 'age': 40} + False + + >>> 'job' not in {'name': 'Bob', 'age': 40} + True + +در مورد عملکرد عملگر برابری ``==`` و عملگرهای هویت (``is`` و ``is not``) صحبت شده است؛ این عملگرها برای اشیا دیکشنری نیز کاربرد دارند. + + +.. rubric:: کپی کردن + +همانطور که گفته شد شی دیکشنری از انواع «تغییر پذیر» پایتون است و همان توضیحاتی که در مورد شی لیست بیان شد؛ در اینجا هم درست است و گاهی نیاز می‌شود که از ماژول ``copy`` برای کپی اشیا دیکشنری استفاده نماییم: + +* بدون کپی کردن:: + + >>> d1 = {'name': 'Bob', 'age': 40} + + >>> d2 = d1 + + >>> d1 == d2 + True + >>> d1 is d2 + True + + >>> d1['age'] = 46 + + >>> d1 + {'name': 'Bob', 'age': 46} + >>> d2 + {'name': 'Bob', 'age': 46} + + +* کپی سطحی:: + + >>> d1 = {'name': 'Bob', 'age': 40} + + >>> import copy + >>> d2 = copy.copy(d1) # shallow copy + + >>> d1 == d2 + True + >>> d1 is d2 # False! + False + + >>> d1['age'] = 46 + + >>> d1 + {'name': 'Bob', 'age': 46} + >>> d2 + {'name': 'Bob', 'age': 40} + + :: + + >>> d1 = {'names': ['Bob', 'Jhon'], 'ages': [40, 40]} + + >>> import copy + >>> d2 = copy.copy(d1) # shallow copy + + >>> d1 == d2 + True + >>> d1 is d2 # False! + False + + >>> d1['ages'][0] = 46 + + >>> d1 + {'ages': [46, 40], 'names': ['Bob', 'Jhon']} + + >>> # d2 has changed! + >>> d2 + {'ages': [46, 40], 'names': ['Bob', 'Jhon']} + +* کپی عمیق:: + + >>> d1 = {'names': ['Bob', 'Jhon'], 'ages': [40, 40]} + + >>> import copy + >>> d2 = copy.deepcopy(d1) # deep copy + + >>> d1 == d2 + True + >>> d1 is d2 # False! + False + + >>> d1['ages'][0] = 46 + + >>> d1 + {'ages': [46, 40], 'names': ['Bob', 'Jhon']} + >>> d2 + {'ages': [40, 40], 'names': ['Bob', 'Jhon']} + + +.. rubric:: تبدیل به شی دیکشنری + +برای تبدیل دیگر اشیا به نوع دیکشنری یا در کل ایجاد شی دیکشنری از کلاس ``()dict`` [`اسناد پایتون `__] استفاده می‌شود. توجه داشته باشید که عضوهای شی دیکشنری از طریق آرگومان‌ها و به شکل «**کلید=مقدار**» به کلاس فرستاده می‌شوند:: + + >>> d = dict(one=1, two=2, three=3) + + >>> d + {'two': 2, 'one': 1, 'three': 3} + >>> d['one'] + 1 + +*در این حالت برای انتخاب کلیدها باید قوانین انتخاب نام در پایتون را رعایت نماییم؛ برای مثال کلیدی که با عدد شروع شود مجاز نمی‌باشد.* + +برای فرستادن کلیدها و مقدارها می‌توانیم از تابع ``()zip`` [`اسناد پایتون `__] استفاده کنیم و خروجی این تابع را به عنوان آرگومان به کلاس ``dict`` ارسال کنیم. می‌توان اینگونه تصور کرد که این تابع تعدادی شی دنباله را می‌گیرد و عضوهای نظیر به نظیر آن‌ها را در کنار هم قرار می‌دهد؛ این دنباله‌ها باید تعداد عضو برابری داشته باشند؛ چرا که عضوهای اضافی هر دنباله نادیده گرفته می‌شود. خروجی ``()zip`` یک شی جدید از نوع ``zip`` است و برای مشاهده معمولا آن را به نوع لیست تبدیل می‌کنند:: + + >>> k = [1, 2, 3, 4, 5] + >>> v = ['x', 'y', 'z'] + + >>> z = zip(k, v) + + >>> z + + + >>> type(z) + + + >>> list(z) + [(1, 'x'), (2, 'y'), (3, 'z')] + +:: + + >>> k = (1, 2, 3) + >>> v = ('One', 'Two', 'Three') + + >>> d = dict(zip(k, v)) + + >>> d + {1: 'One', 2: 'Two', 3: 'Three'} + +در آینده باز هم از تابع ``()zip`` استفاده خواهیم کرد. + + + + +.. rubric:: برخی از متدهای کاربردی یک شی دیکشنری + +* ``()items`` [`اسناد پایتون `__] تمام عضوهای شی را برمی‌گرداند - ``()values`` [`اسناد پایتون `__] تمام مقدارهای موجود در شی را بر می‌گرداند - ``()keys`` [`اسناد پایتون `__] تمام کلیدهای موجود در شی را بر می‌گرداند:: + + >>> # Python 3.x + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.items() + dict_items([(1, 'One'), (2, 'Two'), (3, 'Three')]) + + >>> d.values() + dict_values(['One', 'Two', 'Three']) + + >>> d.keys() + dict_keys([1, 2, 3]) + + توجه داشته باشید که در نسخه‌های 3x پایتون خروجی این متدها از نوع متفاوتی است که با استفاده از ``()type`` می‌توانید مشاهده کنید؛ این نوع ``dict_view`` نامیده می‌شود [`اسناد پایتون 3x `__]. این متدها یک کپی از داده‌های مورد نظر (عضوها یا مقدارها یا کلیدها) را بر نمی‌گردانند بلکه می‌توان گفت پنجره‌ای برای مشاهده آنچه که هست باز می‌کنند و در هر زمان که این داده‌ها تغییر کنند این خروجی‌ها نیز تغییر می‌کنند. برای مشاهده بهتر این خروجی‌ها می‌توانید آن‌ها را به نوع لیست تبدیل نمایید:: + + >>> list(d.items()) + [(1, 'One'), (2, 'Two'), (3, 'Three')] + + >>> list(d.values()) + ['One', 'Two', 'Three'] + + >>> list(d.keys()) + [1, 2, 3] + + این متدها در پایتون 2x چنین خروجی ندارند و تنها یکی کپی از داده‌ها را برمی‌گردانند. البته در نسخه 2.7 متدهای معادلی با عنوان‌های ``()viewitems`` [`اسناد پایتون `__] و ``()viewvalues`` [`اسناد پایتون `__] و ``()viewkeys`` [`اسناد پایتون `__] پورت شده است:: + + >>> # Python 2.7 + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.viewitems() + dict_items([(1, 'One'), (2, 'Two'), (3, 'Three')]) + + >>> d.viewvalues() + dict_values(['One', 'Two', 'Three']) + + >>> d.viewkeys() + dict_keys([1, 2, 3]) + + :: + + >>> # Python 2.x + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.items() + [(1, 'One'), (2, 'Two'), (3, 'Three')] + + >>> d.values() + ['One', 'Two', 'Three'] + + >>> d.keys() + [1, 2, 3] + + + +* ``()clear`` [`اسناد پایتون `__] - تمام عضوهای یک شی دیکشنری را حذف می‌کند:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.clear() + >>> d + {} + +* ``()copy`` [`اسناد پایتون `__] - این متد یک کپی سطحی از شی برمی‌گرداند:: + + >>> d1 = {'name':'Bob'} + + >>> d2 = d1.copy() + + >>> d1 is d2 + False + +* ``(fromkeys(seq`` [`اسناد پایتون `__] - یک دنباله از کلیدها را دریافت و یک شی جدید دیکشنری با استفاده از آن‌ها ایجاد می‌کند؛ البته کلیدهای این شی فاقد مقدار هستند که می‌بایست در زمانی دیگر به آن‌ها مقدار داد:: + + >>> k = (1, 2, 3) # or k=[1, 2, 3] or k='123' + + >>> dict.fromkeys(k) + {1: None, 2: None, 3: None} + + + توجه داشته باشید که این متد توسط خود کلاس ``dict`` فراخوانی می‌شود. + + این متد یک آرگومان اختیاری نیز دارد که توسط آن می‌توان یک شی را به عنوان «مقدار» پیش‌فرض کلید‌ها تعیین نمود:: + + >>> k = (1, 2, 3) + + >>> dict.fromkeys(k, '-*-') + {1: '-*-', 2: '-*-', 3: '-*-'} + +* ``(pop(key`` [`اسناد پایتون `__] - عضو دارنده کلید ``key`` را حذف و مقدار آن را برمی‌گرداند. چنانچه عضوی با این کلید یافت نشود شی پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) را برمی‌گرداند و اگر این آرگومان ارسال نشده باشد یک خطا گزارش می‌دهد:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.pop(2) + 'Two' + >>> d + {1: 'One', 3: 'Three'} + + >>> d.pop(2) + Traceback (most recent call last): + File "", line 1, in + KeyError: 2 + + >>> d.pop(2, 'Oops!') + 'Oops!' + + + از این متد می‌توان برای تغییر راحت‌تر کلیدها استفاده کرد!:: + + >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + + >>> d['occupation'] = d.pop('job') + + >>> d + {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} + + متد مشابه دیگری نیز با نام ``()popitem`` [`اسناد پایتون `__] - که بدون آرگومان است - در دسترس می‌باشد؛ این متد در هر فراخوانی یک عضو از شی مورد نظر را به صورت دلخواه حذف و به شکل تاپل (key, value) برمی‌گرداند و چنانچه دیکشنری خالی باشد یک خطا ``KeyError`` گزارش می‌دهد:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.popitem() + (1, 'One') + +* ``(get(key`` [`اسناد پایتون `__] - مقدار مربوط به کلید ``key`` را برمی‌گرداند. چنانچه درون شی مورد نظر هیچ عضوی با این کلید وجود نداشته باشد شی پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) را برمی‌گرداند و اگر این آرگومان ارسال نشده باشد هیچ خطایی گزارش **نمی‌دهد**:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.get(1) + 'One' + + >>> d.get(0) + >>> + + >>> d.get(0, False) + False + + +* ``(setdefault(key`` [`اسناد پایتون `__] - مقدار مربوط به کلید ``key`` را برمی‌گرداند. چنانچه عضوی با این کلید درون شی مورد نظر وجود نداشته باشد، کلید را به همراه مقدار پیش‌فرض تعیین شده (آرگومان دوم که اختیاری است) درون شی اضافه می‌کند و خود این مقدار را برمی‌گرداند؛ اگر آرگومان دوم ارسال نشده باشد به صورت پیش‌فرض مقدار ``None`` در نظر گرفته خواهد شد:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d.setdefault(1) + 'One' + >>> d + {1: 'One', 2: 'Two', 3: 'Three'} + + >>> d.setdefault(5) + >>> d + {1: 'One', 2: 'Two', 3: 'Three', 5: None} + + >>> d.setdefault(7, 'Seven') + 'Seven' + >>> d + {1: 'One', 2: 'Two', 3: 'Three', 5: None, 7: 'Seven'} + + + +* ``()update`` [`اسناد پایتون `__] - یک شی دیکشنری دیگر را به عنوان آرگومان می‌گیرد و عضوهای شی مورد نظر را بر اساس آن تغییر می‌دهد:: + + >>> d = {1:'One', 2:'Two', 3:'Three'} + + >>> d2 = {5:'Five', 6:'Six'} + >>> d.update(d2) + >>> d + {1: 'One', 2: 'Two', 3: 'Three', 5: 'Five', 6: 'Six'} + + >>> d3 = {1:'0001'} + >>> d.update(d3) + >>> d + {1: '0001', 2: 'Two', 3: 'Three', 5: 'Five', 6: 'Six'} + + + +مجموعه +-------- + +«**مجموعه**» (Set) از انواع «نامنظم» (Unordered) و «تغییر پذیر» (Mutable) پایتون است که معادل مفهوم مجموعه در ریاضیات می‌باشد. **هر عضو مجموعه می‌بایست یکتا و یکی از انواع «تغییر ناپذیر» باشد**. نوع مجموعه یا ``set`` در نسخه‌ 3x با کمی تفاوت ارایه شده است. در نسخه‌های 2x تنها می‌توان با استفاده از کلاس ``()set`` [`اسناد پایتون `__] اقدام به ایجاد این اشیا نمود در حالی که در پایتون 3x این کار به سادگی و تنها با استفاده از نماد آکولاد ``{ }`` نیز امکان پذیر شده است؛ (البته این ویژگی به نسخه 2.7 هم پورت شده است). در دو نمونه کد پایین به چگونگی تعریف و نمایش شی مجموعه توجه نمایید: + +*نسخه‌های 2x:* + +:: + + >>> L = [1, 2, 3, 4, 5] + + >>> s = set(L) + + >>> type(s) + + + >>> s + set([1, 2, 3, 4, 5]) + + >>> print s + set([1, 2, 3, 4, 5]) + +:: + + >>> s = {1, 2, 3, 4, 5} # Python 2.7 + + >>> type(s) + + + >>> s + set([1, 2, 3, 4, 5]) + + +*نسخه‌های 3x:* + +:: + + >>> L = [1, 2, 3, 4, 5] + + >>> s = set(L) + + >>> type(s) + + + >>> s + {1, 2, 3, 4, 5} + + >>> print(s) + {1, 2, 3, 4, 5} + +:: + + >>> s = {1, 2, 3, 4, 5} + + >>> type(s) + + + >>> s + {1, 2, 3, 4, 5} + +هیچ سینتکس خاصی برای ایجاد یا بیان یک شی خالی از نوع مجموعه وجود ندارد و تنها می‌بایست از کلاس ``()set`` - بدون آرگومان - استفاده کرد. توجه داشته باشید که ``{}`` بیانگر یک شی دیکشنری خالی است و نه یک مجموعه خالی:: + + >>> a = {} # Python 2.x + >>> type(a) + + + >>> b = set() + >>> type(b) + + + >>> b + set([]) + +:: + + >>> a = {} # Python 3.x + >>> type(a) + + + >>> b = set() + >>> type(b) + + + >>> b + set() + + +از تابع ``()len`` می‌توان برای به دست آوردن تعداد عضوهای یک شی مجموعه نیز استفاده کرد:: + + >>> s = {1, 2, 3, 4, 5} + >>> len(s) + 5 + + + +.. rubric:: عملگرها برای مجموعه + +تعدادی از عملگرها هستند که برای اشیا مجموعه تعریف خاصی پیدا می‌کنند؛ در حالی که در مورد اشیا دیگر چنین رفتاری ندارند. این عملگرها در واقع پیاده‌سازی تعریف مشخصی در مفهوم ریاضی مجموعه‌ها هستند: + +* ``|`` اجتماع (Union): مانند ``A | B`` که حاصل آن مجموعه‌ای می‌باشد که تمام عضوهای مجموعه ``A`` و مجموعه ``B`` را داشته باشد و هیچ عضو اضافه دیگری نداشته باشد. + + >>> A | B + {'w', 'y', 'q', 't', 'r', 'z', 's', 'v', 'u', 'x'} + +* ``&`` اشتراک (Intersection): مانند ``A & B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی است که هم در مجموعه ``A`` هستند و هم در مجموعه ``B``:: + + >>> A & B + {'w', 'v', 'u'} + + +* ``-`` تفاضل (Difference): مانند ``A - B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی از مجموعه ``A`` است كه در مجموعه ``B`` نيستند:: + + >>> A = {'u', 'v', 'w', 'x', 'y', 'z'} + >>> B = {'q', 'r', 's', 't', 'u', 'v', 'w',} + + >>> A - B + {'z', 'y', 'x'} + + +* ``^`` تفاضل متقارن (Symmetric difference): مانند ``A ^ B`` که حاصل آن مجموعه‌ای می‌باشد که برابر اجتماع ِ تفاضل ``A`` از ``B`` و تفاضل ``B`` از ``A`` می‌باشد یعنی: ``(A-B) | (B-A)``:: + + >>> A ^ B + {'q', 'y', 't', 'r', 'z', 's', 'x'} + + :: + + >>> (A-B) | (B-A) + {'y', 'q', 't', 'r', 'z', 'x', 's'} + + + تفاضل متقارن را می‌توان به صورت پایین نیز تعریف کرد:: + + >>> (A|B) - (B&A) + {'y', 'q', 't', 'r', 'z', 's', 'x'} + +* ``>`` زیرمجموعه (Subset): مانند ``A < B`` که اگر مجموعه ``A`` زیرمجموعه‌ای از مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند. در مقابل عملگر ``<`` قرار دارد که برای مثال در عبارت ``A > B`` اگر مجموعه ``A`` یک Superset برای مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند:: + + >>> A = {1, 2, 3, 4, 5} + >>> B = {1, 2, 3} + + >>> A < B + False + + >>> A > B + True + +برخی از عملگرهای عمومی نیز برای اشیا مجموعه قابل استفاده هستند:: + + >>> A = {'a', 'b', 'c'} + + >>> 'a' in A + True + >>> 'c' not in A + False + +:: + + >>> A = {1, 2, 3, 4, 5} + >>> B = {1, 2, 3} + + >>> A == B + False + + >>> C = A + + >>> A == C + True + + >>> A is C + True + +.. rubric:: برخی از متدهای کاربردی یک شی مجموعه + + +* ``()union`` [`اسناد پایتون `__] - تعدادی شی مجموعه را دریافت می‌کند و یک مجموعه جدید که برابر اجتماع شی مورد نظر با آن‌ها است را برمی‌گرداند:: + + >>> A = {'a', 'b', 'c'} + >>> B = {1, 2, 3} + + >>> {'t', 1, 'a'}.union(A, B) + {'a', 1, 2, 3, 't', 'b', 'c'} + + >>> {'t', 1, 'a'} | A | B + {1, 2, 3, 'b', 't', 'a', 'c'} + + به صورت مشابه می‌توان از متدهای ``()intersection`` [`اسناد پایتون `__] برای اشتراک، ``()difference`` [`اسناد پایتون `__] برای تفاضل، ``()symmetric_difference`` [`اسناد پایتون `__] - که تک آرگومانی است - برای تفاضل متقارن، ``()issubset`` [`اسناد پایتون `__] و ``()issuperset`` [`اسناد پایتون `__] - که هر دو تک آرگومانی هستند - برای بررسی زیرمجموعه یا Superset بودن استفاده کرد. + + + +* ``()clear`` [`اسناد پایتون `__] - تمام عضوهای یک شی مجموعه را حذف می‌کند:: + + >>> A = {'a', 'b', 'c'} + + >>> A.clear() + >>> A + set() + +* ``(add(x`` [`اسناد پایتون `__] - شی تغییر ناپذیر ``x`` را در صورتی که از قبل درون شی مجموعه مورد نظر وجود نداشته باشد به آن اضافه می‌کند:: + + >>> A = {'a', 'b', 'c'} + + >>> A.add(1) + >>> A + {'a', 'c', 1, 'b'} + +* ``(remove(x`` [`اسناد پایتون `__] - عضو ``x`` را از شی مجموعه مورد نظر حذف می‌کند. در صورتی که ``x`` درون مجموعه وجود نداشته باشد یک خطا گزارش می‌دهد:: + + >>> A = {'a', 'b', 'c', 1} + + >>> A.remove(1) + >>> A + {'c', 'a', 'b'} + + >>> A.remove(1) + Traceback (most recent call last): + File "", line 1, in + KeyError: 1 + + + متد مشابه دیگری نیز با الگو ``(discard(x`` [`اسناد پایتون `__] وجود دارد که این متد چنانچه ``x`` وجود داشته باشد آن را حذف می‌کند؛ بنابرین در صورت نبودن ``x`` خطایی گزارش نمی‌گردد:: + + >>> A = {'c', 'a', 'b'} + + >>> A.discard(1) + >>> A + {'b', 'a', 'c'} + + + +* ``()pop`` [`اسناد پایتون `__] - این متد آرگومانی ندارد و به صورت دلخواه یک عضو از مجموعه را حذف و به عنوان خروجی برمی‌گرداند. در مواردی که مجموعه خالی باشد یک خطا گزارش می گردد:: + + >>> A = {'a', 'b', 'c'} + + >>> A.pop() + 'a' + + :: + + >>> A.pop() + Traceback (most recent call last): + File "", line 1, in + KeyError: 'pop from an empty set' + + +.. rubric:: frozenset + +همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدها عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی تاپل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: + +*نسخه‌های 2x:* + +:: + + >>> L = [1, 2, 3] + + >>> A = frozenset(L) + + >>> type(A) + + + >>> A + frozenset([1, 2, 3]) + +*نسخه‌های 3x:* + +:: + + >>> L =[1, 2, 3] + + >>> A = frozenset(L) + + >>> type(A) + + + >>> A + frozenset({1, 2, 3}) + +با استفاده از تابع ``()dir`` می‌توان متوجه متدهای در دسترس شی ``frozenset`` شد:: + + >>> dir(frozenset) # Python 3.x + ['__and__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__or__', '__rand__', '__reduce__', '__reduce_ex__', '__repr__', '__ror__', '__rsub__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__xor__', 'copy', 'difference', 'intersection', 'isdisjoint', 'issubset', 'issuperset', 'symmetric_difference', 'union'] + + +NoneType +---------- + +این نوع شی فاقد مقدار است و با انتساب ثابت ``None`` [`اسناد پایتون `__] به یک نام ایجاد می‌گردد:: + + >>> n = None + + >>> type(n) + + + >>> print(n) + None + + >>> import sys + >>> sys.getsizeof(a) + 16 + + >>> n = 5 + >>> type(n) + + +``None`` در پایتون 3x جزو کلمه‌های کلیدی (keywords) تعریف شده است. + + +دسته‌بندی +----------- + +در این بخش به دسته‌بندی انواع شی بر اساس برخی از تعریف‌های پایتون پرداخته شده است. + + +* انواع عددی (Numeric Types): + + .. code-block:: html + :linenos: + + - int + - long (2.x) + - float + - complex + - Decimal + - Fraction + - bool + +* انواع دنباله (Sequence Types): + + .. code-block:: html + :linenos: + + - str + - unicode (2.x) + - bytes (3.x) + - bytearray (3.x/2.6+) + - tuple + - list + +* انواع تغییر ناپذیر (Immutable Types): + + .. code-block:: html + :linenos: + + - int + - long (2.x) + - float + - complex + - Decimal + - Fraction + - bool + - str + - unicode (2.x) + - bytes (3.x) + - tuple + - frozenset + + +* انواع تغییر پذیر (Mutable Types): + + .. code-block:: html + :linenos: + + - bytearray (3.x/2.6+) + - list + - dict + - set + +* انواع نگاشت (Mapping Types): + + .. code-block:: html + :linenos: + + - dict + +* انواع مجموعه (Set Types): + + .. code-block:: html + :linenos: + + - set + - frozenset + + +* برخی دیگر: + + .. code-block:: html + :linenos: + + - zip + - dict_views + - NoneType + +*در درس‌های بعد نیز با انواع آماده (Built-in) دیگری آشنا خواهیم شد.* + +| + +---- + +:emoji-size:`😊` امیدوارم مفید بوده باشه + + From f340379e9217ba08cb879601f0ba3c3eb6bff795 Mon Sep 17 00:00:00 2001 From: Saeid Date: Sun, 16 Apr 2023 10:07:17 +0430 Subject: [PATCH 29/74] edited l08.1 --- .../lessons/l08-list-and-tuple-in-python.rst | 53 +++++++++++++------ source/lessons/l08-set-and-dict-in-python.rst | 8 +-- 2 files changed, 41 insertions(+), 20 deletions(-) diff --git a/source/lessons/l08-list-and-tuple-in-python.rst b/source/lessons/l08-list-and-tuple-in-python.rst index c19806a..9d9d191 100644 --- a/source/lessons/l08-list-and-tuple-in-python.rst +++ b/source/lessons/l08-list-and-tuple-in-python.rst @@ -1,18 +1,18 @@ .. role:: emoji-size .. meta:: - :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان داده در پایتون، list و tuple - :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان داده در پایتون, list در پایتون, tuple در پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان‌های داده در پایتون، list و tuple + :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان‌های داده در پایتون, list در پایتون, tuple در پایتون .. _lesson-08.1: -درس ۰۸: ساختمان داده در پایتون: list و tuple +درس ۰۸: ساختمان‌های داده در پایتون: list و tuple ==================================================================================== .. figure:: /_static/pages/08-python-built-in-data-types-2.jpg :align: center - :alt: درس ۰۸: ساختمان داده در پایتون: tuple و list + :alt: درس ۰۸: ساختمان‌های داده در پایتون: tuple و list :class: page-image Photo by `Natalia Y `__ @@ -35,11 +35,12 @@ ---- +.. _python-list: لیست ------ -نوع «**لیست**» (List) انعطاف‌ پذیرترین نوع آماده در پایتون می‌باشد. این نوع همانند رشته یک «**دنباله**» (Sequence) بوده ولی برخلاف آن یک نوع «**تغییر پذیر**» (Mutable) است. شی لیست با استفاده از کروشه ``[ ]`` ایجاد می‌گردد و می‌تواند عضوهایی - **با هر نوع** - داشته باشد که توسط کاما ``,`` از یکدیگر جدا می‌شوند؛ نوع لیست در واقع محلی برای نگهداری اشیا گوناگون است:: +نوع «**لیست**» (List) انعطاف‌ پذیرترین نوع آماده در پایتون می‌باشد. این نوع همانند رشته یک «**دنباله**» (Sequence) بوده ولی برخلاف آن یک نوع «**تغییر پذیر**» (Mutable) است. شی لیست با استفاده از کروشه ``[ ]`` ایجاد می‌گردد و ترتیب اعضا را حفظ و می‌تواند عضوهایی - **از هر نوع** - داشته باشد که توسط کاما ``,`` از یکدیگر جدا می‌شوند؛ نوع لیست در واقع محلی برای نگهداری اشیا گوناگون و تغییرپذیر است:: >>> L = [1, 2, 3] >>> type(L) @@ -169,8 +170,11 @@ >>> L [0, 1, 5, 6] + +.. _python-del: -.. rubric:: دستور ``del`` +دستور ``del`` +~~~~~~~~~~~~~~~~~ با استفاده از دستور ``del`` [`اسناد پایتون `__] نیز می‌توان یک عضو یا یک تکه از شی لیست را حذف کرد:: @@ -184,7 +188,7 @@ >>> L ['a', 'f', 'g'] -همچنین می‌توانیم از این دستور برای حذف کامل یک متغیر استفاده نماییم. با حدف یک متغیر، ارجاع آن به شی نیز حذف می‌شود و چنانچه هیچ ارجاع دیگری به آن شی وجود نداشته باشد، شی‌ای که متغیر به آن ارجاع داشت نیز حذف می‌گردد:: +همچنین می‌توانیم از این دستور برای حذف کامل یک متغیر استفاده نماییم. با حدف یک متغیر، ارجاع آن به شی نیز حذف می‌شود و چنانچه هیچ ارجاع دیگری به آن شی وجود نداشته باشد، شی‌ای که متغیر به آن ارجاع داشت نیز از حافظه حذف می‌گردد:: >>> a = 5 >>> a @@ -267,8 +271,11 @@ >>> d [4.4] + +.. _python-copy: -.. rubric:: کپی کردن +کپی کردن +~~~~~~~~~~~~~~~~ همانند دیگر اشیا می‌توان با انتساب یک متغیر موجود از شی لیست به یک نام جدید، متغیر دیگری از این نوع شی ایجاد کرد. البته همانطور که پیش‌تر نیز بیان شده است؛ در این حالت شی کپی نمی‌گردد و تنها یک ارجاع جدید از این نام جدید به شی آن متغیر داده می‌شود. این موضوع با استفاده از تابع ``()id`` [`اسناد پایتون `__] قابل آزمودن است؛ خروجی این تابع برابر نشانی شی در حافظه می‌باشد و بدیهی است که دو مقدار id یکسان برای دو متغیر نشان از یکی بودن شی آن‌هاست:: @@ -393,7 +400,11 @@ >>> id(L2[2]) 140402651379080 -.. rubric:: عملگرها برای لیست + +.. _python-list-operators: + +عملگرها برای لیست +~~~~~~~~~~~~~~~~~~~~~~~~~ می‌توان از عملگرهای ``+`` (برای پیوند لیست‌ها) و ``*`` (برای تکرار عضوهای لیست) بهره برد:: @@ -423,7 +434,11 @@ >>> [1, 2] in L True -.. rubric:: تفاوت عملگرهای ``==`` و ``is`` + +.. _python-is-va-equal: + +تفاوت عملگرهای ``==`` و ``is`` +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ نکته‌ای که در درس‌های پیش مطرح نشد، بیان تفاوت بین عملگر برابری و عملگر هویت است. پیش از ارایه توضیح به نمونه کد پایین توجه نمایید:: @@ -473,8 +488,10 @@ >>> L1 is L2 # False! False +.. _python-convert-to-list: -.. rubric:: تبدیل به شی لیست +تبدیل به شی لیست +~~~~~~~~~~~~~~~~~~~~~~~~~ با استفاده از کلاس ``()list`` [`اسناد پایتون `__] می‌توان یک شی لیست ایجاد کرد یا اشیایی که از نوع دنباله هستند را به یک شی لیست تبدیل نمود:: @@ -496,9 +513,10 @@ [] +.. _python-list-methods: - -.. rubric:: متدهای کاربردی یک شی لیست +متدهای کاربردی یک شی لیست +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ شی لیست تغییر پذیر است و متدهای آن برخلاف شی رشته یک شی جدید تغییر یافته را برنمی‌گردانند بلکه تغییرات را بر روی همان شی ایجاد می‌کنند. @@ -514,7 +532,7 @@ >>> L [1, 2, 3, 4, ['a', 'b']] - عملکرد این متد (``(L.append(x``) همانند عمل ``[L + [x`` است:: + عملکرد این متد ``(L.append(x`` همانند عمل ``[L + [x`` است:: >>> L = [1, 2, 3] >>> L + [4] @@ -538,7 +556,7 @@ [1, 2, 3, 'p', 'y'] -* ``(insert(i, x`` - یک عضو جدید (مانند ``x``) را در موقعیتی از لیست با اندیس دلخواه (مانند ``i``) قرار می‌دهد:: +* ``(insert(i, x`` - یک عضو جدید مانند ``x`` را در موقعیتی از لیست با اندیس دلخواه مانند ``i`` قرار می‌دهد:: >>> L = [1, 2, 3] @@ -700,8 +718,11 @@ >>> sorted(L, key=str.lower, reverse=True) ['h', 'G', 'f', 'e', 'D', 'c', 'B', 'a'] + +.. _python-stack-with-list: -.. rubric:: ایجاد پشته +ایجاد پشته +~~~~~~~~~~~~~~~~~ «پشته» (`Stack `_) ساختاری برای نگهداری موقت داده‌ها می‌باشد به شکلی که آخرین داده‌ای که در آن قرار می‌گیرد نخستین داده‌ای خواهد بود که خارج می‌گردد؛ این شیوه سازمان‌دهی LIFO یا Last In, First Out خوانده می‌شود. پشته تنها از دو عمل (یا متد) پشتیبانی می‌کند: **push** که داده‌ای را بالای تمام داده‌های موجود در آن قرار می‌دهد و **pop** که بالاترین داده را از آن خارج می‌کند. diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst index dc4c139..d1d9fa1 100644 --- a/source/lessons/l08-set-and-dict-in-python.rst +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -1,16 +1,16 @@ .. role:: emoji-size .. meta:: - :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان داده در پایتون، set و dict - :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان داده در پایتون, set در پایتون, dict در پایتون + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان‌های داده در پایتون، set و dict + :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان‌های داده در پایتون, set در پایتون, dict در پایتون -درس ۰۸: ساختمان داده در پایتون: set و dict +درس ۰۸: ساختمان‌های داده در پایتون: set و dict ==================================================================================== .. figure:: /_static/pages/08-python-built-in-data-types-2.jpg :align: center - :alt: درس ۰۸: ساختمان داده در پایتون: set و dict + :alt: درس ۰۸: ساختمان‌های داده در پایتون: set و dict :class: page-image Photo by `Natalia Y `__ From e3efcaa37e3c1e77d8478c5190ba744feb977f89 Mon Sep 17 00:00:00 2001 From: Saeid Date: Mon, 17 Apr 2023 10:12:51 +0430 Subject: [PATCH 30/74] edited l08.2 - dict --- source/lessons/l08-set-and-dict-in-python.rst | 125 +++++++++++------- 1 file changed, 75 insertions(+), 50 deletions(-) diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst index d1d9fa1..ad51133 100644 --- a/source/lessons/l08-set-and-dict-in-python.rst +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -4,6 +4,9 @@ :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هشتم: ساختمان‌های داده در پایتون، set و dict :keywords: آموزش, آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, ساختمان‌های داده در پایتون, set در پایتون, dict در پایتون + + +.. _lesson-08.2: درس ۰۸: ساختمان‌های داده در پایتون: set و dict ==================================================================================== @@ -32,10 +35,12 @@ ---- +.. _python-dict: + دیکشنری --------- -یکی دیگر از انواع انعطاف پذیر آماده در پایتون «**دیکشنری**» (Dictionary) می‌باشد که با نام کوتاه شده ``dict`` ارایه شده است. اشیا نوع دیکشنری با استفاده از نماد آکولاد ``{ }`` معرفی‌ می‌شوند و هر داده در آن به شکل یک جفت «**کلید:مقدار**» (key:value) ذخیره می‌گردد. از این نوع شی با عنوان شی mapping (نگاشت) پایتون نیز یاد می‌شود چرا که در این نوع هر شی «کلید» به یک شی «مقدار» map یا نگاشت داده می‌شود. شی دیکشنری دنباله نیست ولی تغییر پذیر بوده و «مقدار» هر عضو توسط «کلید» متناظر با آن دستیابی می‌شود. شی «مقدار» می‌تواند از هر نوعی باشد حتی یک شی دیکشنری دیگر ولی شی «کلید» تنها می‌بایست از انواع «تغییر ناپذیر» انتخاب شود و باید توجه داشت که تمام «کلید»‌های یک شی دیکشنری می‌بایست «**یکتا**» (Unique) باشند. +یکی دیگر از انواع ساختمان‌های داده در پایتون «**دیکشنری**» (Dictionary) می‌باشد که با نام کوتاه شده ``dict`` ارایه شده است. اشیا نوع دیکشنری با استفاده از نماد آکولاد ``{ }`` معرفی‌ می‌شوند و هر داده در آن به شکل یک جفت «**کلید:مقدار**» (key:value) ذخیره می‌گردد. از این نوع شی با عنوان شی mapping (نگاشت) پایتون نیز یاد می‌شود چرا که در این نوع هر شی «کلید» به یک شی «مقدار» map یا نگاشت داده می‌شود. شی دیکشنری **دنباله نیست** و هر عضو آن به جای اندیس با استفاده از کلید دستیابی می‌شود. دیکشنری در پایتون **تغییر پذیر** است و شی «مقدار» می‌تواند از هر نوعی باشد حتی یک شی دیکشنری دیگر ولی شی «کلید» تنها می‌بایست از انواع «تغییرناپذیر» انتخاب شود و باید توجه داشت که تمام «کلید»‌های یک شی دیکشنری می‌بایست «**یکتا**» (Unique) باشند. از **نسخه 3.7 پایتون**، دیکشنری قابلیت حفظ ترتیب عناصر خود را نیز دارد یا به اصطلاح Ordered است. :: @@ -96,6 +101,20 @@ >>> d['cb4f2']['age'] 40 + +برای ایجاد شی دیکشنری می‌توان از کلاس ``()dict`` [`اسناد پایتون `__] نیز استفاده نمود:: + + + >>> d = dict(one=1, two=2, three=3) + + >>> d + {'two': 2, 'one': 1, 'three': 3} + >>> d['one'] + 1 + +توجه داشته باشید که عضوهای شی دیکشنری از طریق آرگومان‌ها و به شکل «**کلید=مقدار**» به کلاس فرستاده می‌شوند و در این حالت برای انتخاب کلیدها باید قوانین انتخاب نام در پایتون را رعایت نماییم؛ برای مثال کلیدی که با عدد شروع شود مجاز نمی‌باشد. + + ساختار نوع دیکشنری مشابه «جدول درهم‌سازی» (`Hash table `_) است و کاربرد‌های فراوانی در الگوریتم‌های جستجو دارد. از این نوع همچنین می‌توان برای سازماندهی و ذخیره داده‌ها بر روی فایل استفاده کرد؛ برای نمونه فرض کنید می‌خواهیم چند فیلم با بازی Benedict Cumberbatch را به گونه‌ای در اختیار داشته باشیم که بتوانیم آن‌ها را بر اساس سال ساخت دستیابی نماییم:: @@ -133,13 +152,12 @@ >>> d['job'] = 'unemployed' >>> d - {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + {'name': 'Jhon', 'age': 40, 'job': 'unemployed'} -*برخلاف شی لیست یا تاپل (یا در کل دنباله‌ها) که داده‌هایی منظم (Ordered) هستند و ترتیب یا جایگاه قرار گرفتن عضوهای آن‌ها اهمیت دارد، یک شی دیکشنری این طور نیست و ترتیب عضوها در آن کاملا بی اهمیت است.* با استفاده از دستوری مشابه ``[del dic[key`` نیز می‌توان یک عضو شی دیکشنری را حذف کرد:: - >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + >>> d = {'name': 'Jhon', 'age': 40, 'job': 'unemployed'} >>> del d['job'] >>> d @@ -148,15 +166,19 @@ امکانی برای تغییر کلیدها وجود ندارد مگر آنکه عضو مورد نظر را حذف کرده و یک عضو جدید (همان مقدار ولی با کلیدی جدید) اضافه نمایید:: - >>> d = {'name': 'Jhon', 'job': 'unemployed', 'age': 40} + >>> d = {'name': 'Jhon', 'age': 40, 'job': 'unemployed'} >>> d['occupation'] = d['job'] >>> del d['job'] >>> d {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} + -.. rubric:: عملگرها برای دیکشنری +.. _python-dict-operators: + +عملگرها برای دیکشنری +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ عملگرهای ``+`` و ``*`` برای اشیا دیکشنری تعریف **نشده‌اند**. @@ -171,7 +193,10 @@ در مورد عملکرد عملگر برابری ``==`` و عملگرهای هویت (``is`` و ``is not``) صحبت شده است؛ این عملگرها برای اشیا دیکشنری نیز کاربرد دارند. -.. rubric:: کپی کردن +.. _python-dict-copy: + +کپی کردن +~~~~~~~~~~~~~~~~~~ همانطور که گفته شد شی دیکشنری از انواع «تغییر پذیر» پایتون است و همان توضیحاتی که در مورد شی لیست بیان شد؛ در اینجا هم درست است و گاهی نیاز می‌شود که از ماژول ``copy`` برای کپی اشیا دیکشنری استفاده نماییم: @@ -253,21 +278,47 @@ >>> d2 {'ages': [40, 40], 'names': ['Bob', 'Jhon']} + +.. _python-convert-to-dict: -.. rubric:: تبدیل به شی دیکشنری +تبدیل به شی دیکشنری +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -برای تبدیل دیگر اشیا به نوع دیکشنری یا در کل ایجاد شی دیکشنری از کلاس ``()dict`` [`اسناد پایتون `__] استفاده می‌شود. توجه داشته باشید که عضوهای شی دیکشنری از طریق آرگومان‌ها و به شکل «**کلید=مقدار**» به کلاس فرستاده می‌شوند:: +برای تبدیل دیگر اشیا به نوع دیکشنری یا در کل ایجاد شی دیکشنری از کلاس ``()dict`` [`اسناد پایتون `__] استفاده می‌شود. - >>> d = dict(one=1, two=2, three=3) - >>> d - {'two': 2, 'one': 1, 'three': 3} - >>> d['one'] - 1 +برای تبدیل اشیا دنباله به مانند لیست و تاپل به دیکشنری می‌بایست از ساختار تودرتو استفاده کرد، به گونه‌ای که هر عضو این ساختمان‌ها خود شامل دو عضو باشد:: + + >>> t = ('one', 'two', 'three') + >>> type(t) + + + >>> d = dict(t) + Traceback (most recent call last): + File "", line 1, in + ValueError: dictionary update sequence element #0 has length 3; 2 is required + +:: + + >>> t = ((1, 'one'), (2, 'two'), (3, 'three')) + >>> dict(t) + {1: 'one', 2: 'two', 3: 'three'} + >>> + + +البته می‌توان از یک مقدار پیش‌فرض نیز برای تبدیل نوع سریع آن‌ها به روش زیر بهره برد:: -*در این حالت برای انتخاب کلیدها باید قوانین انتخاب نام در پایتون را رعایت نماییم؛ برای مثال کلیدی که با عدد شروع شود مجاز نمی‌باشد.* -برای فرستادن کلیدها و مقدارها می‌توانیم از تابع ``()zip`` [`اسناد پایتون `__] استفاده کنیم و خروجی این تابع را به عنوان آرگومان به کلاس ``dict`` ارسال کنیم. می‌توان اینگونه تصور کرد که این تابع تعدادی شی دنباله را می‌گیرد و عضوهای نظیر به نظیر آن‌ها را در کنار هم قرار می‌دهد؛ این دنباله‌ها باید تعداد عضو برابری داشته باشند؛ چرا که عضوهای اضافی هر دنباله نادیده گرفته می‌شود. خروجی ``()zip`` یک شی جدید از نوع ``zip`` است و برای مشاهده معمولا آن را به نوع لیست تبدیل می‌کنند:: + >>> t = ('one', 'two', 'three') + >>> dict.fromkeys(t, "-") + {'one': '-', 'two': '-', 'three': '-'} + + >>> dict.fromkeys("Python", "-") + {'P': '-', 'y': '-', 't': '-', 'h': '-', 'o': '-', 'n': '-'} + + + +اما روش ساده‌تر، استفاده از تابع ``()zip`` [`اسناد پایتون `__] است. می‌توان اینگونه تصور کرد که این تابع تعدادی شی دنباله را می‌گیرد و عضوهای نظیر به نظیر آن‌ها را در کنار هم قرار می‌دهد؛ این دنباله‌ها باید تعداد عضو برابری داشته باشند؛ چرا که عضوهای اضافی هر دنباله نادیده گرفته می‌شود. خروجی ``()zip`` یک شی جدید از نوع ``zip`` است و می‌توان آن را به عنوان آرگومان به کلاس ``dict`` ارسال کنیم:: >>> k = [1, 2, 3, 4, 5] >>> v = ['x', 'y', 'z'] @@ -296,9 +347,10 @@ در آینده باز هم از تابع ``()zip`` استفاده خواهیم کرد. +.. _python-dict-methods: - -.. rubric:: برخی از متدهای کاربردی یک شی دیکشنری +برخی از متدهای کاربردی یک شی دیکشنری +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * ``()items`` [`اسناد پایتون `__] تمام عضوهای شی را برمی‌گرداند - ``()values`` [`اسناد پایتون `__] تمام مقدارهای موجود در شی را بر می‌گرداند - ``()keys`` [`اسناد پایتون `__] تمام کلیدهای موجود در شی را بر می‌گرداند:: @@ -475,43 +527,16 @@ {1: '0001', 2: 'Two', 3: 'Three', 5: 'Five', 6: 'Six'} - -مجموعه --------- - -«**مجموعه**» (Set) از انواع «نامنظم» (Unordered) و «تغییر پذیر» (Mutable) پایتون است که معادل مفهوم مجموعه در ریاضیات می‌باشد. **هر عضو مجموعه می‌بایست یکتا و یکی از انواع «تغییر ناپذیر» باشد**. نوع مجموعه یا ``set`` در نسخه‌ 3x با کمی تفاوت ارایه شده است. در نسخه‌های 2x تنها می‌توان با استفاده از کلاس ``()set`` [`اسناد پایتون `__] اقدام به ایجاد این اشیا نمود در حالی که در پایتون 3x این کار به سادگی و تنها با استفاده از نماد آکولاد ``{ }`` نیز امکان پذیر شده است؛ (البته این ویژگی به نسخه 2.7 هم پورت شده است). در دو نمونه کد پایین به چگونگی تعریف و نمایش شی مجموعه توجه نمایید: - -*نسخه‌های 2x:* - -:: - - >>> L = [1, 2, 3, 4, 5] - - >>> s = set(L) - - >>> type(s) - - - >>> s - set([1, 2, 3, 4, 5]) - - >>> print s - set([1, 2, 3, 4, 5]) - -:: - - >>> s = {1, 2, 3, 4, 5} # Python 2.7 - >>> type(s) - - >>> s - set([1, 2, 3, 4, 5]) +.. _python-set: + +مجموعه +-------- -*نسخه‌های 3x:* +«**مجموعه**» (Set) از انواع «بدون ترتیب» (Unordered) و «تغییر پذیر» (Mutable) پایتون است که برابر مفهوم مجموعه در ریاضیات می‌باشد. **هر عضو مجموعه می‌بایست یکتا و یکی از انواع «تغییر ناپذیر» باشد**. نوع مجموعه یا ``set`` را می‌توان با استفاده از کلاس ``()set`` [`اسناد پایتون `__] یا تنها با استفاده از نماد آکولاد ``{ }`` ایجاد کرد:: -:: >>> L = [1, 2, 3, 4, 5] From 35d1fbc96605fb8a87e8dcee7f78c7c16a2b1f21 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Wed, 19 Apr 2023 00:32:06 +0330 Subject: [PATCH 31/74] edited l08.2 - completed --- source/lessons/l06-python-syntax.rst | 28 ++++ source/lessons/l08-set-and-dict-in-python.rst | 150 ++++-------------- 2 files changed, 56 insertions(+), 122 deletions(-) diff --git a/source/lessons/l06-python-syntax.rst b/source/lessons/l06-python-syntax.rst index 66552e9..50e8ba6 100644 --- a/source/lessons/l06-python-syntax.rst +++ b/source/lessons/l06-python-syntax.rst @@ -580,6 +580,34 @@ Docstring باید به عنوان دستور نخست درج گردد و این .. tip:: [`PEP 8 `_]: برای نام‌گذاری ثابت‌ها (Constants) تنها از حروف بزرگ و برای جداسازی کلمه‌ها نیز از ``ـ`` استفاده شود. مانند: MAX_OVERFLOW ،TOTAL و... +.. _python-none: + +NoneType +---------- + +[`None `_] یک شی آماده و بدون مقدار در پایتون است:: + + >>> n = None + + >>> type(n) + + + >>> print(n) + None + + >>> import sys + >>> sys.getsizeof(a) + 16 + + >>> n = 5 + >>> type(n) + + +این شی را می‌توان معرف مقدار هیچی یا ``null`` در پایتون نیز در نظر گرفت. یک کاربرد مهم از این شی در زمانی است که می‌خواهیم یک متغیر بدون مقدار اولیه ایجاد و مقداردهی را بر اساس شرایطی دیگر در ادامه برنامه تعریف نماییم. + +این شی کاربردهای فراوانی دارد که به مرور با آن‌ها آشنا خواهید شد. + + .. _python-operators: عملگر‌ها diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst index ad51133..14e5bc1 100644 --- a/source/lessons/l08-set-and-dict-in-python.rst +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -354,8 +354,6 @@ * ``()items`` [`اسناد پایتون `__] تمام عضوهای شی را برمی‌گرداند - ``()values`` [`اسناد پایتون `__] تمام مقدارهای موجود در شی را بر می‌گرداند - ``()keys`` [`اسناد پایتون `__] تمام کلیدهای موجود در شی را بر می‌گرداند:: - >>> # Python 3.x - >>> d = {1:'One', 2:'Two', 3:'Three'} >>> d.items() @@ -367,48 +365,6 @@ >>> d.keys() dict_keys([1, 2, 3]) - توجه داشته باشید که در نسخه‌های 3x پایتون خروجی این متدها از نوع متفاوتی است که با استفاده از ``()type`` می‌توانید مشاهده کنید؛ این نوع ``dict_view`` نامیده می‌شود [`اسناد پایتون 3x `__]. این متدها یک کپی از داده‌های مورد نظر (عضوها یا مقدارها یا کلیدها) را بر نمی‌گردانند بلکه می‌توان گفت پنجره‌ای برای مشاهده آنچه که هست باز می‌کنند و در هر زمان که این داده‌ها تغییر کنند این خروجی‌ها نیز تغییر می‌کنند. برای مشاهده بهتر این خروجی‌ها می‌توانید آن‌ها را به نوع لیست تبدیل نمایید:: - - >>> list(d.items()) - [(1, 'One'), (2, 'Two'), (3, 'Three')] - - >>> list(d.values()) - ['One', 'Two', 'Three'] - - >>> list(d.keys()) - [1, 2, 3] - - این متدها در پایتون 2x چنین خروجی ندارند و تنها یکی کپی از داده‌ها را برمی‌گردانند. البته در نسخه 2.7 متدهای معادلی با عنوان‌های ``()viewitems`` [`اسناد پایتون `__] و ``()viewvalues`` [`اسناد پایتون `__] و ``()viewkeys`` [`اسناد پایتون `__] پورت شده است:: - - >>> # Python 2.7 - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.viewitems() - dict_items([(1, 'One'), (2, 'Two'), (3, 'Three')]) - - >>> d.viewvalues() - dict_values(['One', 'Two', 'Three']) - - >>> d.viewkeys() - dict_keys([1, 2, 3]) - - :: - - >>> # Python 2.x - - >>> d = {1:'One', 2:'Two', 3:'Three'} - - >>> d.items() - [(1, 'One'), (2, 'Two'), (3, 'Three')] - - >>> d.values() - ['One', 'Two', 'Three'] - - >>> d.keys() - [1, 2, 3] - - * ``()clear`` [`اسناد پایتون `__] - تمام عضوهای یک شی دیکشنری را حذف می‌کند:: @@ -563,20 +519,7 @@ هیچ سینتکس خاصی برای ایجاد یا بیان یک شی خالی از نوع مجموعه وجود ندارد و تنها می‌بایست از کلاس ``()set`` - بدون آرگومان - استفاده کرد. توجه داشته باشید که ``{}`` بیانگر یک شی دیکشنری خالی است و نه یک مجموعه خالی:: - >>> a = {} # Python 2.x - >>> type(a) - - - >>> b = set() - >>> type(b) - - - >>> b - set([]) - -:: - - >>> a = {} # Python 3.x + >>> a = {} >>> type(a) @@ -595,46 +538,48 @@ 5 +.. _python-set-operators: -.. rubric:: عملگرها برای مجموعه +عملگرها برای مجموعه +~~~~~~~~~~~~~~~~~~~~~~~~~~ تعدادی از عملگرها هستند که برای اشیا مجموعه تعریف خاصی پیدا می‌کنند؛ در حالی که در مورد اشیا دیگر چنین رفتاری ندارند. این عملگرها در واقع پیاده‌سازی تعریف مشخصی در مفهوم ریاضی مجموعه‌ها هستند: -* ``|`` اجتماع (Union): مانند ``A | B`` که حاصل آن مجموعه‌ای می‌باشد که تمام عضوهای مجموعه ``A`` و مجموعه ``B`` را داشته باشد و هیچ عضو اضافه دیگری نداشته باشد. +* ``|`` اجتماع (Union): مانند ``A | B`` که حاصل آن مجموعه‌ای می‌باشد که تمام عضوهای مجموعه ``A`` و مجموعه ``B`` را داشته باشد و هیچ عضو اضافه دیگری نداشته باشد:: + + >>> A = {'u', 'v', 'w', 'x', 'y', 'z'} + >>> B = {'q', 'r', 's', 't', 'u', 'v', 'w'} >>> A | B - {'w', 'y', 'q', 't', 'r', 'z', 's', 'v', 'u', 'x'} + {'y', 's', 'x', 'u', 'r', 'z', 't', 'w', 'v', 'q'} * ``&`` اشتراک (Intersection): مانند ``A & B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی است که هم در مجموعه ``A`` هستند و هم در مجموعه ``B``:: >>> A & B - {'w', 'v', 'u'} + {'v', 'u', 'w'} * ``-`` تفاضل (Difference): مانند ``A - B`` که حاصل آن مجموعه‌ای می‌باشد که تنها شامل عضوهایی از مجموعه ``A`` است كه در مجموعه ``B`` نيستند:: - >>> A = {'u', 'v', 'w', 'x', 'y', 'z'} - >>> B = {'q', 'r', 's', 't', 'u', 'v', 'w',} - >>> A - B - {'z', 'y', 'x'} + {'y', 'z', 'x'} * ``^`` تفاضل متقارن (Symmetric difference): مانند ``A ^ B`` که حاصل آن مجموعه‌ای می‌باشد که برابر اجتماع ِ تفاضل ``A`` از ``B`` و تفاضل ``B`` از ``A`` می‌باشد یعنی: ``(A-B) | (B-A)``:: >>> A ^ B - {'q', 'y', 't', 'r', 'z', 's', 'x'} + {'y', 'z', 's', 'q', 'x', 'r', 't'} :: >>> (A-B) | (B-A) - {'y', 'q', 't', 'r', 'z', 'x', 's'} + {'y', 'r', 'z', 't', 's', 'x', 'q'} تفاضل متقارن را می‌توان به صورت پایین نیز تعریف کرد:: >>> (A|B) - (B&A) - {'y', 'q', 't', 'r', 'z', 's', 'x'} + {'y', 'x', 'r', 'z', 't', 's', 'q'} * ``>`` زیرمجموعه (Subset): مانند ``A < B`` که اگر مجموعه ``A`` زیرمجموعه‌ای از مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند. در مقابل عملگر ``<`` قرار دارد که برای مثال در عبارت ``A > B`` اگر مجموعه ``A`` یک Superset برای مجموعه ``B`` باشد مقدار ``True`` را برمی‌گرداند:: @@ -672,7 +617,11 @@ >>> A is C True -.. rubric:: برخی از متدهای کاربردی یک شی مجموعه + +.. _python-set-methods: + +برخی از متدهای کاربردی یک شی مجموعه +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * ``()union`` [`اسناد پایتون `__] - تعدادی شی مجموعه را دریافت می‌کند و یک مجموعه جدید که برابر اجتماع شی مورد نظر با آن‌ها است را برمی‌گرداند:: @@ -745,25 +694,12 @@ KeyError: 'pop from an empty set' -.. rubric:: frozenset - -همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدها عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی تاپل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: - -*نسخه‌های 2x:* - -:: - - >>> L = [1, 2, 3] - - >>> A = frozenset(L) +.. _python-frozenset: - >>> type(A) - +frozenset +~~~~~~~~~~~~~ - >>> A - frozenset([1, 2, 3]) - -*نسخه‌های 3x:* +همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدهایش، عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی تاپل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: :: @@ -783,34 +719,10 @@ ['__and__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__or__', '__rand__', '__reduce__', '__reduce_ex__', '__repr__', '__ror__', '__rsub__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__xor__', 'copy', 'difference', 'intersection', 'isdisjoint', 'issubset', 'issuperset', 'symmetric_difference', 'union'] -NoneType ----------- - -این نوع شی فاقد مقدار است و با انتساب ثابت ``None`` [`اسناد پایتون `__] به یک نام ایجاد می‌گردد:: - - >>> n = None - - >>> type(n) - - - >>> print(n) - None - - >>> import sys - >>> sys.getsizeof(a) - 16 - - >>> n = 5 - >>> type(n) - - -``None`` در پایتون 3x جزو کلمه‌های کلیدی (keywords) تعریف شده است. - - دسته‌بندی ----------- -در این بخش به دسته‌بندی انواع شی بر اساس برخی از تعریف‌های پایتون پرداخته شده است. +اکنون با انواع داده و نیز ساختمان‌های داده متداول در پایتون آشنا شده‌اید. در این بخش به منظور جمع‌بندی، به دسته‌بندی این اشیا خواهیم پرداخت: * انواع عددی (Numeric Types): @@ -819,7 +731,6 @@ NoneType :linenos: - int - - long (2.x) - float - complex - Decimal @@ -832,9 +743,8 @@ NoneType :linenos: - str - - unicode (2.x) - - bytes (3.x) - - bytearray (3.x/2.6+) + - bytes + - bytearray - tuple - list @@ -844,15 +754,13 @@ NoneType :linenos: - int - - long (2.x) - float - complex - Decimal - Fraction - bool - str - - unicode (2.x) - - bytes (3.x) + - bytes - tuple - frozenset @@ -862,7 +770,7 @@ NoneType .. code-block:: html :linenos: - - bytearray (3.x/2.6+) + - bytearray - list - dict - set @@ -889,10 +797,8 @@ NoneType :linenos: - zip - - dict_views - NoneType -*در درس‌های بعد نیز با انواع آماده (Built-in) دیگری آشنا خواهیم شد.* | From 059b64adf9da6d82c08f825375946db39b679952 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Thu, 20 Apr 2023 20:09:42 +0330 Subject: [PATCH 32/74] edited l08 (part 1 & 2) --- .../pages/08-python-built-in-data-types-3.jpg | Bin 0 -> 130374 bytes source/_static/sitemap-index.xml | 10 +++++ .../lessons/l07-numeric-types-in-python.rst | 2 +- source/lessons/l07-string-in-python.rst | 2 +- .../lessons/l08-list-and-tuple-in-python.rst | 40 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100644 --- a/source/_static/sitemap-index.xml +++ b/source/_static/sitemap-index.xml @@ -94,6 +94,16 @@ 2021-03-17T17:10:25+00:00 0.80 + + https://python.coderz.ir/lessons/l08-list-and-tuple-in-python.html + 2023-03-17T17:10:25+00:00 + 0.80 + + + https://python.coderz.ir/lessons/l08-set-and-dict-in-python.html + 2023-03-17T17:10:25+00:00 + 0.80 + https://python.coderz.ir/lessons/l09.html 2021-03-17T17:10:25+00:00 diff --git a/source/lessons/l07-numeric-types-in-python.rst b/source/lessons/l07-numeric-types-in-python.rst index 5ed21cc..2c77cf1 100644 --- a/source/lessons/l07-numeric-types-in-python.rst +++ b/source/lessons/l07-numeric-types-in-python.rst @@ -519,7 +519,7 @@ f = Decimal("NaN") * از آنجا که نوع ممیز شناور دقیق نیست؛ این اعداد را حتما به صورت رشته به ``Decimal`` ارسال نمایید (سطر دوم). -* اعداد را می‌توان به صورت یک شی تاپل (Tuple) - ساختاری مشابه: (... ,Ο, Ο, Ο) - ارسال کرد (سطر چهارم). شیوه نماد علمی را به یاد بیاورید؛ تاپل مورد نظر باید ساختاری مشابه الگو ``(sign, digits, exponent)`` داشته باشد که در آن sign مثبت بودن (توسط عدد صفر) یا منفی بودن (توسط عدد یک) را مشخص می‌کند، digits خود تاپلی است که رقم‌های دخیل را بیان می‌کند و exponent نیز بیانگر همان توان است. +* اعداد را می‌توان به صورت یک شی توپِل (Tuple) - ساختاری مشابه: (... ,Ο, Ο, Ο) - ارسال کرد (سطر چهارم). شیوه نماد علمی را به یاد بیاورید؛ توپِل مورد نظر باید ساختاری مشابه الگو ``(sign, digits, exponent)`` داشته باشد که در آن sign مثبت بودن (توسط عدد صفر) یا منفی بودن (توسط عدد یک) را مشخص می‌کند، digits خود توپِلی است که رقم‌های دخیل را بیان می‌کند و exponent نیز بیانگر همان توان است. میزان دقت (Precision) و عمل گرد کردن (Rounding) اعداد از نوع دسیمال با استفاده از یک شی ``Context`` قابل کنترل است؛ این شی یک سری اطلاعات پیکربندی را در اختیار اشیا دسیمال قرار می‌دهد که برای دسترسی به آن باید از تابع ``()getcontext`` [`اسناد پایتون `__] درون ماژول ``decimal`` استفاده کرد. تابع ``()getcontext`` شی ``Context`` اشیا دسیمال جاری برنامه را برمی‌گرداند:: diff --git a/source/lessons/l07-string-in-python.rst b/source/lessons/l07-string-in-python.rst index ef9ebb2..fd223e6 100644 --- a/source/lessons/l07-string-in-python.rst +++ b/source/lessons/l07-string-in-python.rst @@ -119,7 +119,7 @@ رشته به عنوان دنباله‌ (Sequence) ---------------------------------- -برخی از انواع شی پایتون به مانند رشته، تاپل (tuple)، لیست (list) و... با عنوان **دنباله** (Sequence) نیز شناخته می‌شوند. دنباله ویژگی‌هایی دارد که در اینجا به کمک نوع رشته بررسی خواهیم کرد. رشته در واقع یک **دنباله** از کاراکترهاست در نتیجه می‌توان هر یک از اعضای این دنباله را با استفاده از اندیس (Index) موقعیت آن، دستیابی نمود؛ اندیس اعضا از سمت چپ با عدد صفر شروع و به سمت راست یک واحد یک واحد افزایش می‌یابد. به عنوان نمونه برای شی ``'Python Strings'`` می‌توانیم شمای اندیس‌گذاری را به صورت پایین در نظر بگیریم:: +برخی از انواع شی پایتون به مانند رشته، توپِل (tuple)، لیست (list) و... با عنوان **دنباله** (Sequence) نیز شناخته می‌شوند. دنباله ویژگی‌هایی دارد که در اینجا به کمک نوع رشته بررسی خواهیم کرد. رشته در واقع یک **دنباله** از کاراکترهاست در نتیجه می‌توان هر یک از اعضای این دنباله را با استفاده از اندیس (Index) موقعیت آن، دستیابی نمود؛ اندیس اعضا از سمت چپ با عدد صفر شروع و به سمت راست یک واحد یک واحد افزایش می‌یابد. به عنوان نمونه برای شی ``'Python Strings'`` می‌توانیم شمای اندیس‌گذاری را به صورت پایین در نظر بگیریم:: P y t h o n S t r i n g s - - - - - - - - - - - - - - diff --git a/source/lessons/l08-list-and-tuple-in-python.rst b/source/lessons/l08-list-and-tuple-in-python.rst index 9d9d191..de66a2c 100644 --- a/source/lessons/l08-list-and-tuple-in-python.rst +++ b/source/lessons/l08-list-and-tuple-in-python.rst @@ -10,18 +10,18 @@ درس ۰۸: ساختمان‌های داده در پایتون: list و tuple ==================================================================================== -.. figure:: /_static/pages/08-python-built-in-data-types-2.jpg +.. figure:: /_static/pages/08-python-built-in-data-types-3.jpg :align: center :alt: درس ۰۸: ساختمان‌های داده در پایتون: tuple و list :class: page-image - Photo by `Natalia Y `__ + Photo by `Maria Orlova `__ -از درس هفتم با انواع داده از پیش آماده در پایتون آشنا شده‌ایم و در این درس به ساختمان‌های داده در پایتون خواهیم پرداخت. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، تاپِل (tuple)، مجموعه (set) و دیکشنری (dict) +از درس هفتم با انواع داده پایه در پایتون آشنا شده‌ایم و در این درس به بررسی انواع داده دیگری خواهیم پرداخت که در زبان‌های برنامه‌نویسی عموما با عنوان ساختمان‌های داده بیان می‌شوند. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، توپِل (tuple)، مجموعه (set) و دیکشنری (dict) -به منظور جلوگیری از طولانی شدن متن درس و همینطور سادگی در مطالعه، محتوا این درس در قالب دو بخش ارایه می‌شود که بخش نخست تنها به شرح لیست (list) و تاپِل (tuple) خواهد پرداخت. +به منظور جلوگیری از طولانی شدن متن درس و همینطور سادگی در مطالعه، محتوا این درس در قالب دو بخش ارایه می‌شود که بخش نخست تنها به شرح لیست (list) و توپِل (tuple) خواهد پرداخت. @@ -40,7 +40,7 @@ لیست ------ -نوع «**لیست**» (List) انعطاف‌ پذیرترین نوع آماده در پایتون می‌باشد. این نوع همانند رشته یک «**دنباله**» (Sequence) بوده ولی برخلاف آن یک نوع «**تغییر پذیر**» (Mutable) است. شی لیست با استفاده از کروشه ``[ ]`` ایجاد می‌گردد و ترتیب اعضا را حفظ و می‌تواند عضوهایی - **از هر نوع** - داشته باشد که توسط کاما ``,`` از یکدیگر جدا می‌شوند؛ نوع لیست در واقع محلی برای نگهداری اشیا گوناگون و تغییرپذیر است:: +نوع «**لیست**» (List) یک نوع بسیار انعطاف‌پذیر در پایتون می‌باشد. این نوع همانند رشته یک «**دنباله**» (Sequence) بوده ولی برخلاف آن یک نوع «**تغییر پذیر**» (Mutable) است. شی لیست با استفاده از کروشه ``[ ]`` ایجاد می‌گردد و ترتیب اعضا را حفظ و می‌تواند عضوهایی - **از هر نوع** - داشته باشد که توسط کاما ``,`` از یکدیگر جدا می‌شوند؛ نوع لیست در واقع محلی برای نگهداری اشیا گوناگون و تغییرپذیر است:: >>> L = [1, 2, 3] >>> type(L) @@ -201,7 +201,11 @@ File "", line 1, in NameError: name 'a' is not defined -.. rubric:: انتساب چندگانه + +.. _python-unpacking: + +انتساب چندگانه +~~~~~~~~~~~~~~~~~~~~ می‌توان یک شی لیست - یا در کل یک شی دنباله - را به تعدادی نام انتساب داد و متغیرهای جداگانه‌ای ایجاد نمود؛ این عمل **Unpacking** خوانده می‌شود. در این شرایط مفسر پایتون هر عضو دنباله را با حفظ ترتیب به یکی از نام‌ها انتساب می‌دهد که در حالت عادی می‌بایست تعداد نام‌ها با عضوهای دنباله برابر باشد:: @@ -747,10 +751,10 @@ -تاپل +توپِل ------ -نوع «**تاپِل**» (Tuple) همانند نوع ``list`` است ولی با این تفاوت که تغییر پذیر **نیست** و عضوهای آن درون پرانتز ``()`` قرار داده می‌شوند:: +نوع «**توپِل**» (Tuple) همانند نوع ``list`` است تنها با این تفاوت که تغییرپذیر **نیست** (بنابراین به نسبت مقدار حافظه کمتری مصرف می‌کند) و عضوهای آن درون پرانتز ``()`` قرار داده می‌شوند:: >>> t = (1, 2, 3) >>> type(t) @@ -771,7 +775,7 @@ >>> t () -در انتهای شی تاپل تک عضوی می‌بایست یک نماد کاما قرار داد؛ به مانند: ``(,1)``. از آنجا که از پرانتز در عبارت‌ها نیز استفاده می‌شود؛ با این کار مفسر پایتون یک شی تاپل را از عبارت تشخیص می دهد:: +در انتهای شی توپِل تک عضوی می‌بایست یک نماد کاما قرار داد؛ به مانند: ``(,1)``. از آنجا که از پرانتز در عبارت‌ها نیز استفاده می‌شود؛ با این کار مفسر پایتون یک شی توپِل را از عبارت تشخیص می دهد:: >>> (4 + 1) @@ -792,7 +796,7 @@ -برای ایجاد شی تاپل حتی می‌توان از گذاردن پرانتز صرف نظر کرد و تنها اشیا (یا عبارت‌ها) را با کاما از یکدیگر جدا نمود:: +برای ایجاد شی توپِل حتی می‌توان از گذاردن پرانتز صرف نظر کرد و تنها اشیا (یا عبارت‌ها) را با کاما از یکدیگر جدا نمود:: >>> 5, (5,) @@ -816,10 +820,10 @@ .. note:: - نوع تاپل به دلیل تغییر ناپذیر بودن، نسبت به نوع لیست در مصرف حافظه بهینه‌تر می‌باشد؛ بنابراین بهتر است در مواقعی که نیاز به تغییر خاصی در داده‌ها نیست از این نوع استفاده شود. همچنین در مواقعی که نباید داده‌ها تغییر کنند، استفاده از شی تاپل به جای لیست می‌تواند از آن‌ها در برابر تغییر محافظت کند. + نوع توپِل به دلیل تغییر ناپذیر بودن، نسبت به نوع لیست در مصرف حافظه بهینه‌تر می‌باشد؛ بنابراین بهتر است در مواقعی که نیاز به تغییر خاصی در داده‌ها نیست از این نوع استفاده شود. همچنین در مواقعی که نباید داده‌ها تغییر کنند، استفاده از شی توپِل به جای لیست می‌تواند از آن‌ها در برابر تغییر محافظت کند. -به دلیل شباهت‌های بسیار شی تاپل به شی لیست از ارایه توضیحات تکراری اجتناب کرده و تنها به ذکر چند مثال در ارتباط با نوع تاپل می‌پردازیم:: +به دلیل شباهت‌های بسیار شی توپِل به شی لیست از ارایه توضیحات تکراری اجتناب کرده و تنها به ذکر چند مثال در ارتباط با نوع توپِل می‌پردازیم:: >>> ('a', 'b', 'c') + (1 , 2, 3) ('a', 'b', 'c', 1, 2, 3) @@ -890,7 +894,7 @@ >>> len(t[2]) 3 -به دلیل ساختار ارجاعی بین اشیا در پایتون که توسط تصاویر بخش لیست نیز نمایش داده شد؛ اشیا تغییر پذیر درون شی تاپل، ویژگی‌های خود را داشته و همچنان تغییر پذیر خواهند بود:: +به دلیل ساختار ارجاعی بین اشیا در پایتون که توسط تصاویر بخش لیست نیز نمایش داده شد؛ اشیا تغییر پذیر درون شی توپِل، ویژگی‌های خود را داشته و همچنان تغییر پذیر خواهند بود:: >>> t = ('p', 'y', [1, 2, 3], 5) @@ -952,7 +956,7 @@ *حتما متوجه شده‌اید که عضوهای دنباله تنها با نوع لیست به نام نشانه‌گذاری شده انتساب داده می‌شود.* -در هنگام انتساب متغیر تاپل به موضوع کپی نشدن اشیا تغییر پذیر توجه داشته باشید و در صورت نیاز از ماژول ``copy`` استفاده نمایید:: +در هنگام انتساب متغیر توپِل به موضوع کپی نشدن اشیا تغییر پذیر توجه داشته باشید و در صورت نیاز از ماژول ``copy`` استفاده نمایید:: >>> t1 = ('p', 'y', [1, 2, 3], 5) @@ -981,7 +985,7 @@ -همانند شی لیست؛ شی تاپل نیز به دو متد ``()index`` و ``()count`` دسترسی دارد - این موضوع با استفاده از تابع ``()dir`` قابل بررسی است:: +همانند شی لیست؛ شی توپِل نیز به دو متد ``()index`` و ``()count`` دسترسی دارد - این موضوع با استفاده از تابع ``()dir`` قابل بررسی است:: >>> t = ('s', 'b', 'c', 'a', 's', 'b') @@ -1024,7 +1028,7 @@ (END) -هر زمان که نیاز به اِعمال تغییر در شی تاپل باشد؛ می‌توان شی مورد نظر را به صورت موقت به یک شی لیست تبدیل کرد. در این حالت می‌توان از ویژگی و متدهای شی لیست بهره برد و تغییرات دلخواه را اعمال کرد و در نهایت با یک تبدیل نوع دیگر دوباره به شی تاپل بازگشت. برای این منظور می‌توان با استفاده از کلاس ``()list`` یک دنباله - در اینجا یک شی تاپل - را به شی لیست تبدیل کرد و در طرف دیگر توسط کلاس ``()tuple`` نیز یک دنباله - در اینجا یک شی لیست - را به شی تاپل تبدیل نمود:: +هر زمان که نیاز به اِعمال تغییر در شی توپِل باشد؛ می‌توان شی مورد نظر را به صورت موقت به یک شی لیست تبدیل کرد. در این حالت می‌توان از ویژگی و متدهای شی لیست بهره برد و تغییرات دلخواه را اعمال کرد و در نهایت با یک تبدیل نوع دیگر دوباره به شی توپِل بازگشت. برای این منظور می‌توان با استفاده از کلاس ``()list`` یک دنباله - در اینجا یک شی توپِل - را به شی لیست تبدیل کرد و در طرف دیگر توسط کلاس ``()tuple`` نیز یک دنباله - در اینجا یک شی لیست - را به شی توپِل تبدیل نمود:: >>> t = (1, 2, 3) >>> type(t) @@ -1045,7 +1049,7 @@ ('python', 1, 2, 3) -البته در مواقعی که می‌خواهید عضوهای درون یک شی تاپل را مرتب (Sort) کنید، نیازی به تبدیل نوع لیست نمی‌باشد و می‌توانید از تابع ``()sorted`` استفاده نمایید؛ این تابع مطابق آنچه که پیش از این معرفی شد یک شی تاپل را می‌گیرد و یک شی لیست با همان عضوها اما مرتب شده را برمی‌گرداند:: +البته در مواقعی که می‌خواهید عضوهای درون یک شی توپِل را مرتب (Sort) کنید، نیازی به تبدیل نوع لیست نمی‌باشد و می‌توانید از تابع ``()sorted`` استفاده نمایید؛ این تابع مطابق آنچه که پیش از این معرفی شد یک شی توپِل را می‌گیرد و یک شی لیست با همان عضوها اما مرتب شده را برمی‌گرداند:: >>> t = ('a', 'D', 'c', 'B', 'e', 'f', 'G', 'h') @@ -1053,7 +1057,7 @@ ['h', 'G', 'f', 'e', 'D', 'c', 'B', 'a'] -کلاس ``()tuple`` بدون آرگومان یک شی تاپل خالی را ایجاد می‌کند:: +کلاس ``()tuple`` بدون آرگومان یک شی توپِل خالی را ایجاد می‌کند:: >>> t = tuple() >>> t diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst index 14e5bc1..74b50d4 100644 --- a/source/lessons/l08-set-and-dict-in-python.rst +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -18,10 +18,10 @@ Photo by `Natalia Y `__ + +از درس هفتم با انواع داده پایه در پایتون آشنا شده‌ایم و در این درس به بررسی انواع داده دیگری خواهیم پرداخت که در زبان‌های برنامه‌نویسی عموما با عنوان ساختمان‌های داده بیان می‌شوند. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، توپِل (tuple)، مجموعه (set) و دیکشنری (dict) -از درس هفتم با انواع داده از پیش آماده در پایتون آشنا شده‌ایم و در این درس به ساختمان‌های داده در پایتون خواهیم پرداخت. ساختمان‌های داده یا Data Structures به اشیایی گفته می‌شود که برای نگهداری از یک مجموعه داده طراحی شده‌اند و هر یک دارای ویژگی منحصربه‌فرد خود است. برای مثال قابل تغییر بودن، امکان حفظ ترتیب اعضا، امکان نگهداری داده‌های تکراری یا تنها اجبار به نگهداری داده‌های یکتا که هر یک مناسب وضعیت خاصی در برنامه‌نویسی هستند. این درس به بررسی چهار ساختمان داده متداول در پایتون خواهد پرداخت: لیست (list)، تاپِل (tuple)، مجموعه (set) و دیکشنری (dict) - -این بخش در ادامه شرح «لیست» و «تاپل» به شرح دو نوع دیگر از ساختمان‌های داده در پایتون می‌پردازد: «مجموعه» و «دیکشنری» +این بخش در ادامه شرح «لیست» و «توپِل» به شرح دو نوع دیگر از ساختمان‌های داده در پایتون می‌پردازد: «مجموعه» و «دیکشنری» @@ -287,7 +287,7 @@ برای تبدیل دیگر اشیا به نوع دیکشنری یا در کل ایجاد شی دیکشنری از کلاس ``()dict`` [`اسناد پایتون `__] استفاده می‌شود. -برای تبدیل اشیا دنباله به مانند لیست و تاپل به دیکشنری می‌بایست از ساختار تودرتو استفاده کرد، به گونه‌ای که هر عضو این ساختمان‌ها خود شامل دو عضو باشد:: +برای تبدیل اشیا دنباله به مانند لیست و توپِل به دیکشنری می‌بایست از ساختار تودرتو استفاده کرد، به گونه‌ای که هر عضو این ساختمان‌ها خود شامل دو عضو باشد:: >>> t = ('one', 'two', 'three') >>> type(t) @@ -427,7 +427,7 @@ >>> d {'name': 'Jhon', 'age': 40, 'occupation': 'unemployed'} - متد مشابه دیگری نیز با نام ``()popitem`` [`اسناد پایتون `__] - که بدون آرگومان است - در دسترس می‌باشد؛ این متد در هر فراخوانی یک عضو از شی مورد نظر را به صورت دلخواه حذف و به شکل تاپل (key, value) برمی‌گرداند و چنانچه دیکشنری خالی باشد یک خطا ``KeyError`` گزارش می‌دهد:: + متد مشابه دیگری نیز با نام ``()popitem`` [`اسناد پایتون `__] - که بدون آرگومان است - در دسترس می‌باشد؛ این متد در هر فراخوانی یک عضو از شی مورد نظر را به صورت دلخواه حذف و به شکل توپِل (key, value) برمی‌گرداند و چنانچه دیکشنری خالی باشد یک خطا ``KeyError`` گزارش می‌دهد:: >>> d = {1:'One', 2:'Two', 3:'Three'} @@ -699,7 +699,7 @@ frozenset ~~~~~~~~~~~~~ -همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدهایش، عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی تاپل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: +همانطور که پیش از این بیان شد مجموعه یک شی «تغییر پذیر» است با عضوهای «تغییر ناپذیر» و به دلیل همین تغییر پذیری است که می‌توانیم به سادگی توسط متدهایش، عضوی به آن افزوده یا حذف نماییم. **”frozenset“** یک نوع جدید مجموعه است. همانگونه که می‌توانیم یک شی توپِل را معادل یک شی لیست تغییر ناپذیر تصویر کنیم؛ frozenset را نیز می‌توان **یک شی مجموعه تغییر ناپذیر** تصور کرد. نوع ``frozenset`` همان نوع ``set`` است، با تمام ویژگی‌های آن به غیر از تغییر پذیری که با استفاده از کلاس ``()frozenset`` ایجاد می‌گردد: :: diff --git a/source/lessons/l09.rst b/source/lessons/l09.rst index 56c87be..4a95ae4 100644 --- a/source/lessons/l09.rst +++ b/source/lessons/l09.rst @@ -508,7 +508,7 @@ 5 6 >>> -*در نمونه کد بالا، متغیر both در هر مرتبه تکرار به یک شی تاپل اشاره دارد.* +*در نمونه کد بالا، متغیر both در هر مرتبه تکرار به یک شی توپِل اشاره دارد.* :: @@ -884,7 +884,7 @@ در این بخش قصد داریم با مفهوم iterator (تکرارکننده) در پایتون آشنا شویم. برای این منظور بهتر است ابتدا مفهوم iterable (تکرارپذیر) را بدانیم. -تمام انواع دنباله یک iterable هستند؛ در واقع به اشیایی با این قابلیت که بتوان در هر لحظه یک عضو درون آن را دستیابی نمود iterable گفته می‌شود. اکثر انواع آماده شی که در پایتون می‌شناسیم یک iterable است؛ انواع شی رشته، لیست، تاپل، دیکشنری، range ،zip (یا xrange) یا یک شی فایل (file) و هر شی از کلاسی که خودتان به همراه متد‌های ویژه ``()__iter__`` یا ``()__getitem__`` تعریف نمایید یک iterable هستند. +تمام انواع دنباله یک iterable هستند؛ در واقع به اشیایی با این قابلیت که بتوان در هر لحظه یک عضو درون آن را دستیابی نمود iterable گفته می‌شود. اکثر انواع آماده شی که در پایتون می‌شناسیم یک iterable است؛ انواع شی رشته، لیست، توپِل، دیکشنری، range ،zip (یا xrange) یا یک شی فایل (file) و هر شی از کلاسی که خودتان به همراه متد‌های ویژه ``()__iter__`` یا ``()__getitem__`` تعریف نمایید یک iterable هستند. شی iterator با استفاده از تابع آماده ``()iter`` [`اسناد پایتون `__] ایجاد می‌شود؛ این تابع یک شی iterable را به عنوان آرگومان دریافت می‌کند و آن را در قالب یک شی iterator بر می‌گرداند:: diff --git a/source/lessons/l11.rst b/source/lessons/l11.rst index 3e04993..bf923ed 100644 --- a/source/lessons/l11.rst +++ b/source/lessons/l11.rst @@ -508,7 +508,7 @@ os.path -* ``(os.path.split(path``: مسیر path دریافتی را به یک تاپل (dirname, basename) تجزیه می‌کند که در آن **basename** آخرین بخش از مسیر path و **dirname** نیز هر آنچه قبل از basename باشد، خواهند بود [`اسناد پایتون `__]:: +* ``(os.path.split(path``: مسیر path دریافتی را به یک توپِل (dirname, basename) تجزیه می‌کند که در آن **basename** آخرین بخش از مسیر path و **dirname** نیز هر آنچه قبل از basename باشد، خواهند بود [`اسناد پایتون `__]:: >>> import os.path @@ -528,7 +528,7 @@ os.path >>> -* ``(os.path.basename(path``: مقداری برابر با **بخش دوم** از تاپل خروجی تابع ``(os.path.split(path`` را برمی‌گرداند [`اسناد پایتون `__]:: +* ``(os.path.basename(path``: مقداری برابر با **بخش دوم** از توپِل خروجی تابع ``(os.path.split(path`` را برمی‌گرداند [`اسناد پایتون `__]:: >>> import os.path @@ -548,7 +548,7 @@ os.path >>> -* ``(os.path.dirname(path``: مقداری برابر با **بخش یکم** از تاپل خروجی تابع ``(os.path.split(path`` را برمی‌گرداند [`اسناد پایتون `__]:: +* ``(os.path.dirname(path``: مقداری برابر با **بخش یکم** از توپِل خروجی تابع ``(os.path.split(path`` را برمی‌گرداند [`اسناد پایتون `__]:: >>> import os.path >>> @@ -568,7 +568,7 @@ os.path -* ``(os.path.splitext(path``: مشابه تابع ``(os.path.split(path`` است با این تفاوت که پسوند را از path جدا کرده و نتیجه را به شکل تاپل بر می‌گرداند [`اسناد پایتون `__]:: +* ``(os.path.splitext(path``: مشابه تابع ``(os.path.split(path`` است با این تفاوت که پسوند را از path جدا کرده و نتیجه را به شکل توپِل بر می‌گرداند [`اسناد پایتون `__]:: >>> import os.path >>> @@ -613,7 +613,7 @@ os.path >>> os.path.join(os.sep, 'one', 'two', 'three') '\\one\\two\\three' - همچنین برای ایجاد چندین مسیر به صورت همزمان، می‌توان اجزای هر مسیر را به صورت یک تاپل (یا لیست) درون یک لیست قرار داد و سپس با استفاده از حلقه ``for``، اجزای هر مسیر را جداگانه به تابع ``join`` ارسال نمود. البته باید توجه داشت که می‌بایست پارامتر مشخص شده در تعریف تابع ``join`` با یک ستاره مشخص شده باشد؛ در این حالت اجزای درون یک تاپل (یا لیست) به صورت پارامترهای جدا تابع در نظر گرفته می‌شوند، چیزی مانند نمونه کد بالا - در درس تابع دوباره به این شیوه ارسال پارامتر اشاره خواهد شد - به نمونه کد پایین توجه نمایید:: + همچنین برای ایجاد چندین مسیر به صورت همزمان، می‌توان اجزای هر مسیر را به صورت یک توپِل (یا لیست) درون یک لیست قرار داد و سپس با استفاده از حلقه ``for``، اجزای هر مسیر را جداگانه به تابع ``join`` ارسال نمود. البته باید توجه داشت که می‌بایست پارامتر مشخص شده در تعریف تابع ``join`` با یک ستاره مشخص شده باشد؛ در این حالت اجزای درون یک توپِل (یا لیست) به صورت پارامترهای جدا تابع در نظر گرفته می‌شوند، چیزی مانند نمونه کد بالا - در درس تابع دوباره به این شیوه ارسال پارامتر اشاره خواهد شد - به نمونه کد پایین توجه نمایید:: >>> import os @@ -629,7 +629,7 @@ os.path >>> .. note:: - هر مسیر می‌بایست دقیقا شامل یک کاراکتر جدا کننده دایرکتوری (``os.sep``) باشد در غیر این صورت اجزا فقط از آخرین نمونه به بعد در نظر گرفته می‌شوند. این اتفاق در تاپل سوم ``('one', 'two', '/three', 'four/')`` از نمونه کد بالا رخ داده است. + هر مسیر می‌بایست دقیقا شامل یک کاراکتر جدا کننده دایرکتوری (``os.sep``) باشد در غیر این صورت اجزا فقط از آخرین نمونه به بعد در نظر گرفته می‌شوند. این اتفاق در توپِل سوم ``('one', 'two', '/three', 'four/')`` از نمونه کد بالا رخ داده است. * ``(os.path.expanduser(path``: این تابع تنها یک پارامتر با ترکیب ``user~`` می‌پذیرد و کاراکتر ``~`` را به مسیر دایرکتوری کاربر user در سیستم عامل تبدیل می‌کند [`اسناد پایتون `__]:: diff --git a/source/lessons/l12.rst b/source/lessons/l12.rst index 7f6f189..5ead167 100644 --- a/source/lessons/l12.rst +++ b/source/lessons/l12.rst @@ -360,7 +360,7 @@ این دو از شیوه‌‌های مرسوم در زبان‌های برنامه‌نویسی هستند ولی ارسال پارامتر به صورت خاص در زبان برنامه‌نویسی پایتون چگونه است؟ در پایتون هر چیزی یک شی است و در نتیجه ارسال آرگومان‌ها در هر شرایطی به صورت **”by reference“** انجام می‌پذیرد. -و اگر سوال شود که علت تفاوت رفتار در دو مثال قبل چیست؟ باید بدانیم که علت به ماهیت اشیای آرگومان‌های ارسالی مربوط است. ارسال اشیای تغییرناپذیر (Immutable) به مانند انواع بولین، اعداد، رشته و تاپل به تابع، باعث بروز رفتاری مشابه با شیوه by value می‌شود ولی در مورد ارسال اشیای تغییرپذیر (Mutable) به مانند انواع لیست، دیکشنری و مجموعه اینگونه نخواهد بود. به تصاویر پایین توجه نمایید: +و اگر سوال شود که علت تفاوت رفتار در دو مثال قبل چیست؟ باید بدانیم که علت به ماهیت اشیای آرگومان‌های ارسالی مربوط است. ارسال اشیای تغییرناپذیر (Immutable) به مانند انواع بولین، اعداد، رشته و توپِل به تابع، باعث بروز رفتاری مشابه با شیوه by value می‌شود ولی در مورد ارسال اشیای تغییرپذیر (Mutable) به مانند انواع لیست، دیکشنری و مجموعه اینگونه نخواهد بود. به تصاویر پایین توجه نمایید: .. image:: /_static/l12-python-passing-arguments-01.png :align: center @@ -416,7 +416,7 @@ >>> Y [3, 4] -توجه داشته باشید که در این حالت دستور ``return`` تمام این اشیا را در قالب یک شی تاپل برمی‌گرداند:: +توجه داشته باشید که در این حالت دستور ``return`` تمام این اشیا را در قالب یک شی توپِل برمی‌گرداند:: >>> multiple(X, Y) (2, [3, 4]) @@ -508,7 +508,7 @@ TypeError: f() got multiple values for argument 'a' -* سینتکس ``iterable*``، در این سینتکس یک شی از نوع تکرارپذیر (iterable - درس نهم) مانند انواع رشته، تاپل، لیست و... که توسط یک کاراکتر ستاره ``*‍‍`` نشانه‌گذاری شده است، به تابع ارسال می‌گردد. در این صورت بر اساس ترتیب موقعیت، اعضای درون شی تکرارپذیر به پارامتر‌های تابع اختصاص می‌یابند:: +* سینتکس ``iterable*``، در این سینتکس یک شی از نوع تکرارپذیر (iterable - درس نهم) مانند انواع رشته، توپِل، لیست و... که توسط یک کاراکتر ستاره ``*‍‍`` نشانه‌گذاری شده است، به تابع ارسال می‌گردد. در این صورت بر اساس ترتیب موقعیت، اعضای درون شی تکرارپذیر به پارامتر‌های تابع اختصاص می‌یابند:: >>> def f(a, b, c): ... print("a= ", a) @@ -600,7 +600,7 @@ -* سینتکس ``name*``، تمام آرگومان‌های ارسالی را در قالب یه شی تاپل دریافت می‌کند - این قابلیت در مواقعی که تعداد آرگومان‌های ارسالی متغییر است کمک بزرگی می‌کند:: +* سینتکس ``name*``، تمام آرگومان‌های ارسالی را در قالب یه شی توپِل دریافت می‌کند - این قابلیت در مواقعی که تعداد آرگومان‌های ارسالی متغییر است کمک بزرگی می‌کند:: >>> def f(*name): ... print(type(name)) diff --git a/source/lessons/l13.rst b/source/lessons/l13.rst index 0a0acd5..395111e 100644 --- a/source/lessons/l13.rst +++ b/source/lessons/l13.rst @@ -373,7 +373,7 @@ Generator 4 >>> -به منظور درک بهتر عملکرد تابع Generator‌، تصور کنید از شما خواسته شده است که یک تابع شخصی مشابه با تابع ``()range`` پایتون پیاده‌سازی نمایید. راهکار شما چه خواهد بود؟ ایجاد یک شی‌ای مانند لیست (list) یا تاپل خالی و پر کردن آن با استفاده از یک حلقه؟! این راهکار شاید برای ایجاد بازه‌های کوچک پاسخگو باشد ولی برای ایجاد یک بازه صد میلیونی آیا حافظه و زمان کافی در اختیار دارید؟. این مسئله را با استفاده از تابع Generator‌ به سادگی و درستی حل خواهیم کرد:: +به منظور درک بهتر عملکرد تابع Generator‌، تصور کنید از شما خواسته شده است که یک تابع شخصی مشابه با تابع ``()range`` پایتون پیاده‌سازی نمایید. راهکار شما چه خواهد بود؟ ایجاد یک شی‌ای مانند لیست (list) یا توپِل خالی و پر کردن آن با استفاده از یک حلقه؟! این راهکار شاید برای ایجاد بازه‌های کوچک پاسخگو باشد ولی برای ایجاد یک بازه صد میلیونی آیا حافظه و زمان کافی در اختیار دارید؟. این مسئله را با استفاده از تابع Generator‌ به سادگی و درستی حل خواهیم کرد:: >>> def my_range(stop): ... number = 0 @@ -623,7 +623,7 @@ List Comprehensions [2.23606797749979, 5.0, 7.810249675906654] -توجه داشته باشید، چنانچه نتیجه اعمال List Comprehensions در هر نوبت شامل بیش از یک عضو باشد، می‌بایست مقادیر نتایج در داخل یک پرانتز قرار داده شوند (به صورت یک شی تاپل - tuple). +توجه داشته باشید، چنانچه نتیجه اعمال List Comprehensions در هر نوبت شامل بیش از یک عضو باشد، می‌بایست مقادیر نتایج در داخل یک پرانتز قرار داده شوند (به صورت یک شی توپِل - tuple). به نمونه ``[x,y) for x in a for y in b if x > 0)]`` و خروجی آن توجه نمایید. با توجه به این موضوع عبارت زیر از نظر مفسر پایتون نادرست می‌باشد:: diff --git a/source/lessons/l16.rst b/source/lessons/l16.rst index 0a6ef65..36c826f 100644 --- a/source/lessons/l16.rst +++ b/source/lessons/l16.rst @@ -117,7 +117,7 @@ * ``Match.group([group1, ...])`` [`اسناد پایتون `__] - این متد از شی ``Match``، گروه (های) تطبیق داده شده بر اساس الگو مورد نظر را برمی‌گرداند. این متد می‌تواند یک یا چند آرگومان عددی دریافت کند که معرف اندیس گروه مورد نظر می‌باشد. در حالت فراخوانی بدون آرگومان تمامی گروه‌های تطبیق داده شده به صورت یک مقدار رشته برگردانده می‌شود و در صورتی تنها یک مقدار به آن ارسال گردد، گروه تطبیق داده شده متناظر با آن اندیس (شمارش اندیس‌ها از یک است) در قالب یک شی رشته برگردانده می‌شود و در صورتی که بیش از یک اندیس به عنوان آرگومان ارسال گردد یک شی تاپل محتوی گروه‌های تطبیق داده شده برگردانده خواهد شد. چنانچه آرگومان ارسالی عددی منفی باشد یا اندیسی بالاتر از تعداد گروه‌های تطبیق داده شده باشد، یک استثنا ``IndexError`` رخ خواهد داد:: + این متد از شی ``Match``، گروه (های) تطبیق داده شده بر اساس الگو مورد نظر را برمی‌گرداند. این متد می‌تواند یک یا چند آرگومان عددی دریافت کند که معرف اندیس گروه مورد نظر می‌باشد. در حالت فراخوانی بدون آرگومان تمامی گروه‌های تطبیق داده شده به صورت یک مقدار رشته برگردانده می‌شود و در صورتی تنها یک مقدار به آن ارسال گردد، گروه تطبیق داده شده متناظر با آن اندیس (شمارش اندیس‌ها از یک است) در قالب یک شی رشته برگردانده می‌شود و در صورتی که بیش از یک اندیس به عنوان آرگومان ارسال گردد یک شی توپِل محتوی گروه‌های تطبیق داده شده برگردانده خواهد شد. چنانچه آرگومان ارسالی عددی منفی باشد یا اندیسی بالاتر از تعداد گروه‌های تطبیق داده شده باشد، یک استثنا ``IndexError`` رخ خواهد داد:: >>> match = re.search("(\w+) (\w+)", "Isaac Newton, physicist") >>> match.group() # The entire match @@ -151,7 +151,7 @@ * ``Match.groups(default=None)`` [`اسناد پایتون `__] - این متد تمام گروه‌های تطبیق داده شده بر اساس الگو مورد نظر را در قالب یک شی تاپل برمی‌گرداند. این متد می‌تواند یک آرگومان بپذیرد که معرف مقدار پیش‌فرض برای جایگذاری گروه‌هایی است که در رشته ورودی تطبیق داده نشده‌اند، در حالت عادی (بدون ارسال آرگومان) این مقدار برابر با ``None`` است:: + این متد تمام گروه‌های تطبیق داده شده بر اساس الگو مورد نظر را در قالب یک شی توپِل برمی‌گرداند. این متد می‌تواند یک آرگومان بپذیرد که معرف مقدار پیش‌فرض برای جایگذاری گروه‌هایی است که در رشته ورودی تطبیق داده نشده‌اند، در حالت عادی (بدون ارسال آرگومان) این مقدار برابر با ``None`` است:: >>> match = re.search("(\d+)\.(\d+)", "24.1632") >>> match.groups() @@ -303,7 +303,7 @@ * ``Match.span([group])`` [`اسناد پایتون `__] - این متد یک شی تاپل دوتایی از خروجی دو متد ``start`` و ``end`` را بر می‌گرداند و همانند آنها نیز یک آرگومان اختیاری دارد - نمونه خروجی: ``(m.start(group), m.end(group))``:: + این متد یک شی توپِل دوتایی از خروجی دو متد ``start`` و ``end`` را بر می‌گرداند و همانند آنها نیز یک آرگومان اختیاری دارد - نمونه خروجی: ``(m.start(group), m.end(group))``:: >>> match = re.search(r"(\d+)\.(\d+)", "24.1632") >>> match.span() @@ -489,7 +489,7 @@ >>> print(results) ['#Perl#', '#Python#', '#Ruby#'] -چنانچه الگو شامل بیش از یک گروه باشد، خروجی تابع ``findall`` برابر است با یک لیست از تاپل‌ها که هر تاپل، حاصل یک دور انطباق است:: +چنانچه الگو شامل بیش از یک گروه باشد، خروجی تابع ``findall`` برابر است با یک لیست از توپِل‌ها که هر توپِل، حاصل یک دور انطباق است:: >>> results = re.findall(r'(\w+)@(\d+)', 'Perl@1987,Python@1991,Ruby@1995') >>> print(results) @@ -700,7 +700,7 @@ ``subn(pattern, repl, string, count=0, flags=0)`` -عملکرد این تابع (``subn``) همانند تابع ``sub`` است. تنها تفاوت در خروجی آن‌هاست، تابع ``subn`` یک شی تاپل محتوی نتیجه و تعداد عملیات جایگذاری را برمی‌گرداند [`اسناد پایتون `__]:: +عملکرد این تابع (``subn``) همانند تابع ``sub`` است. تنها تفاوت در خروجی آن‌هاست، تابع ``subn`` یک شی توپِل محتوی نتیجه و تعداد عملیات جایگذاری را برمی‌گرداند [`اسناد پایتون `__]:: >>> import re # Python 3.x diff --git a/source/lessons/l18.rst b/source/lessons/l18.rst index 3558573..414b351 100644 --- a/source/lessons/l18.rst +++ b/source/lessons/l18.rst @@ -377,7 +377,7 @@ **Method Resolution Order** ، همانطوری که از نام آن نیز مشخص است، **MRO** ترتیبی که می‌بایست بر اساس آن متدها جستجو شوند را پیدا می‌کند. پایتون برای این منظور از الگوریتم C3 linearization بهره گرفته است [`ویکی‌پدیا `__] (البته از نسخه 2.3 به بعد) [`اسناد پایتون `__]. -هر کلاس پایتون یک Special Attribute به اسم ``__mro__`` دارد که حاوی یک تاپل از ترتیب کلاس‌هایی است که پایتون بر اساس آن به دنبال یک متد می‌گردد [`اسناد پایتون `__]، در واقع این مقدار حاصل تلاش MRO بر اساس محاسبه الگوریتم C3 linearization برای آن کلاس خواهد بود. برای مثال این مقدار برای کلاس ``SubClass`` ما برابر است با:: +هر کلاس پایتون یک Special Attribute به اسم ``__mro__`` دارد که حاوی یک توپِل از ترتیب کلاس‌هایی است که پایتون بر اساس آن به دنبال یک متد می‌گردد [`اسناد پایتون `__]، در واقع این مقدار حاصل تلاش MRO بر اساس محاسبه الگوریتم C3 linearization برای آن کلاس خواهد بود. برای مثال این مقدار برای کلاس ``SubClass`` ما برابر است با:: >>> SubClass.__mro__ diff --git a/source/lessons/l19.rst b/source/lessons/l19.rst index db92567..403d6b2 100644 --- a/source/lessons/l19.rst +++ b/source/lessons/l19.rst @@ -191,7 +191,7 @@ با استفاده از مثال پیش، یک کاربرد جالب و مهم از قابلیت تعریف متا کلاس در پایتون را بررسی کردیم، مثالی که شما را با روند ایجاد شی نیز بیشتر آشنا کرد. -در انتهای این بخش جا دارد با امکان تعریف یک متد از نوع Class Method به نام ``__prepare__`` [`اسناد پایتون `__] در پایتون آشنا شویم. به صورت پیش‌فرض مفسر پایتون پس از اینکه متا کلاسِ یک کلاس را تشخیص می‌دهد، بلافاصله به دنبال ``__prepare__`` در آن می‌گردد و چنانچه پیاده‌سازی شده باشد، آن را فراخوانی و آرگومان‌های «متا کلاس»، «نام کلاسی که قرار است یک شی از آن ایجاد گردد»، «یک شی تاپل حاوی فهرست superclassهای آن کلاس - با حفظ ترتیب» و «تعدادی keyword argumentهای احتمالی (آرگومان‌های نام=مقدار)» را به آن ارسال می‌کند [`PEP 3115 `__]. خروجی این متد می‌بایست یک شی دیکشنری (``dict``) باشد که در زمان ایجاد و ارزیابی کلاس، مورد استفاده قرار می‌گیرد. این متد قبل از ``__call__`` فراخوانی می‌شود و ما می‌توانیم از آن برای قرار دادن مقادیری برای استفاده در کلاس‌هایی که توسط متا کلاس ایجاد می‌گردند قرار دهیم. برای درک بهتر کاربرد این متد، به نمونه کد زیر توجه نمایید: +در انتهای این بخش جا دارد با امکان تعریف یک متد از نوع Class Method به نام ``__prepare__`` [`اسناد پایتون `__] در پایتون آشنا شویم. به صورت پیش‌فرض مفسر پایتون پس از اینکه متا کلاسِ یک کلاس را تشخیص می‌دهد، بلافاصله به دنبال ``__prepare__`` در آن می‌گردد و چنانچه پیاده‌سازی شده باشد، آن را فراخوانی و آرگومان‌های «متا کلاس»، «نام کلاسی که قرار است یک شی از آن ایجاد گردد»، «یک شی توپِل حاوی فهرست superclassهای آن کلاس - با حفظ ترتیب» و «تعدادی keyword argumentهای احتمالی (آرگومان‌های نام=مقدار)» را به آن ارسال می‌کند [`PEP 3115 `__]. خروجی این متد می‌بایست یک شی دیکشنری (``dict``) باشد که در زمان ایجاد و ارزیابی کلاس، مورد استفاده قرار می‌گیرد. این متد قبل از ``__call__`` فراخوانی می‌شود و ما می‌توانیم از آن برای قرار دادن مقادیری برای استفاده در کلاس‌هایی که توسط متا کلاس ایجاد می‌گردند قرار دهیم. برای درک بهتر کاربرد این متد، به نمونه کد زیر توجه نمایید: .. code-block:: python :linenos: diff --git a/source/lessons/l21.rst b/source/lessons/l21.rst index 4c45e5c..0603051 100644 --- a/source/lessons/l21.rst +++ b/source/lessons/l21.rst @@ -271,7 +271,7 @@ __slots__ TypeError: multiple bases have instance lay-out conflict -بهتر است superclassها حاوی یک ``__slots__`` خالی (شی تاپل خالی) باشند و هر subclass خود محتوای ``__slots__`` خود را تعریف نماید: +بهتر است superclassها حاوی یک ``__slots__`` خالی (شی توپِل خالی) باشند و هر subclass خود محتوای ``__slots__`` خود را تعریف نماید: .. code-block:: python :linenos: diff --git a/source/lessons/l22.rst b/source/lessons/l22.rst index 7ddaf51..72c05cd 100644 --- a/source/lessons/l22.rst +++ b/source/lessons/l22.rst @@ -681,7 +681,7 @@ Type Hinting تابع ``field`` و ``fields`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -تابع ``fields`` از ماژول ``dataclasses`` یک شی از دیتا کلاس یا خود دیتا کلاس را از ورودی دریافت و یک تاپل حاوی تمام فیلد‌های آن بر می‌گرداند [`اسناد پایتون `__]: +تابع ``fields`` از ماژول ``dataclasses`` یک شی از دیتا کلاس یا خود دیتا کلاس را از ورودی دریافت و یک توپِل حاوی تمام فیلد‌های آن بر می‌گرداند [`اسناد پایتون `__]: .. code-block:: python :linenos: diff --git a/source/lessons/l23.rst b/source/lessons/l23.rst index 9bcd03c..c0a7ba5 100644 --- a/source/lessons/l23.rst +++ b/source/lessons/l23.rst @@ -284,7 +284,7 @@ ZeroDivisionError: (0+8)/0 -چنانچه مکانیزم مدیریت خطای شما برای چندین نوع Exception مشخص یکسان است می‌توانید آن دستورهای ``except`` را با یکدیگر ترکیب کرد و تنها از یک دستور ``except`` استفاده نمایید. برای این منظور تنها کافی است نام تمام Exceptionهای مورد نظر خود را در قالب یک شی تاپل به دستور ``except`` بسپرید: +چنانچه مکانیزم مدیریت خطای شما برای چندین نوع Exception مشخص یکسان است می‌توانید آن دستورهای ``except`` را با یکدیگر ترکیب کرد و تنها از یک دستور ``except`` استفاده نمایید. برای این منظور تنها کافی است نام تمام Exceptionهای مورد نظر خود را در قالب یک شی توپِل به دستور ``except`` بسپرید: .. code-block:: python :linenos: diff --git a/source/log.rst b/source/log.rst index 150de57..629af2d 100644 --- a/source/log.rst +++ b/source/log.rst @@ -12,11 +12,22 @@ ============= +.. raw:: html + +

      00131 - پنج‌شنبه ۳۱ فروردین ۱۴۰۲

      + +* درس هشتم ویرایش و بروزرسانی گردید. +* جهت کاهش محتوا و آسانی در مطالعه، درس هشتم در قالب دو صفحه مجزا ارایه گردید. +* شرح شی None از درس هشتم به درس ششم منتقل گردید. + + +---- + .. raw:: html

      00130 - جمعه ۲۵ فروردین ۱۴۰۲

      -* درس هفتم مورد ویرایش قرار گرفت و بروزرسانی گردید. +* درس هفتم ویرایش و بروزرسانی گردید. * جهت کاهش محتوا و آسانی در مطالعه، درس هفتم در قالب دو صفحه مجزا ارایه گردید. From 223824302c990b60f643e2b116296faa11339a2c Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 22 Apr 2023 12:30:30 +0330 Subject: [PATCH 33/74] Create .readthedocs.yaml --- .readthedocs.yaml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 .readthedocs.yaml diff --git a/.readthedocs.yaml b/.readthedocs.yaml new file mode 100644 index 0000000..1a41226 --- /dev/null +++ b/.readthedocs.yaml @@ -0,0 +1,20 @@ +# .readthedocs.yaml +# Read the Docs configuration file +# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details + +version: 2 + +build: + os: ubuntu-22.04 + tools: + python: "3.11" + +python: + install: + - requirements: requirements.txt + - method: pip + +sphinx: + builder: html + configuration: source/conf.py + fail_on_warning: true From 4e4a0c31497522c7844c44c96662ce1eae9ae96d Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 22 Apr 2023 12:47:41 +0330 Subject: [PATCH 34/74] Update .readthedocs.yaml --- .readthedocs.yaml | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/.readthedocs.yaml b/.readthedocs.yaml index 1a41226..c39b742 100644 --- a/.readthedocs.yaml +++ b/.readthedocs.yaml @@ -10,11 +10,10 @@ build: python: "3.11" python: - install: - - requirements: requirements.txt - - method: pip + install: + - requirements: requirements.txt sphinx: - builder: html - configuration: source/conf.py - fail_on_warning: true + builder: html + configuration: source/conf.py + fail_on_warning: true From bdb09976aae79b07f78392905996d27d00063018 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 22 Apr 2023 18:46:25 +0330 Subject: [PATCH 35/74] improved l07.2 --- source/_static/sitemap-index.xml | 2 +- source/index.rst | 4 +- source/lessons/l06-python-syntax.rst | 8 ++- ...rst => l07-string-and-bytes-in-python.rst} | 65 ++++++++++--------- source/lessons/l08-set-and-dict-in-python.rst | 21 +++++- source/log.rst | 10 +++ 6 files changed, 75 insertions(+), 35 deletions(-) rename source/lessons/{l07-string-in-python.rst => l07-string-and-bytes-in-python.rst} (95%) diff --git a/source/_static/sitemap-index.xml b/source/_static/sitemap-index.xml index ce5a31e..e937572 100644 --- a/source/_static/sitemap-index.xml +++ b/source/_static/sitemap-index.xml @@ -85,7 +85,7 @@ 0.80

      00129 - پنجشنبه ۲۴ فروردین ۱۴۰۲

      - https://python.coderz.ir/lessons/l07-string-in-python.html + https://python.coderz.ir/lessons/l07-string-and-bytes-in-python.html 2023-03-17T17:10:25+00:00 0.80 diff --git a/source/index.rst b/source/index.rst index 94beadf..9af4ecc 100644 --- a/source/index.rst +++ b/source/index.rst @@ -35,7 +35,7 @@ lessons/l05-object-oriented-programming lessons/l06-python-syntax lessons/l07-numeric-types-in-python - lessons/l07-string-in-python + lessons/l07-string-and-bytes-in-python lessons/l08-list-and-tuple-in-python lessons/l08-set-and-dict-in-python lessons/l09 @@ -69,7 +69,7 @@ :scale: 60 % :alt: بروز شده با نسخه 3.11 -**شروع:** فروردین ۱۳۹۴ **و** **آخرین بروزرسانی:** فروردین ۱۴۰۲ [`گزارش توسعه `__] - **در حال بروزرسانی با نسخه ۳.۱۱ پایتون** +**شروع:** فروردین ۱۳۹۴ **و** **آخرین بروزرسانی:** اردیبهشت ۱۴۰۲ [`گزارش توسعه `__] - **در حال بروزرسانی با نسخه ۳.۱۱ پایتون** diff --git a/source/lessons/l06-python-syntax.rst b/source/lessons/l06-python-syntax.rst index 50e8ba6..e5e9d48 100644 --- a/source/lessons/l06-python-syntax.rst +++ b/source/lessons/l06-python-syntax.rst @@ -18,7 +18,7 @@ Photo by `Tim J `__ -در این درس به معرفی اجزای پایه در زبان برنامه‌نویسی پایتون پرداخته شده و اینکه چه هستند، چه گرامری دارند، چه کاری انجام می‌دهند یا... مورد بررسی قرار گرفته است. همچنین در موارد بسیاری نکته‌هایی از شیوه استاندارد پایتون‌نویسی که توسط سند `PEP 8 `__ به برنامه‌نویسان پایتون پیشنهاد می‌شود نیز آورده شده است؛ رعایت این اصول به یکدستی کدهای جامعه پایتون کمک می‌کند. +در این درس به معرفی اجزای پایه در زبان برنامه‌نویسی پایتون پرداخته شده و اینکه چه هستند، چه گرامری دارند، چه کاری انجام می‌دهند یا... مورد بررسی قرار گرفته است. همچنین در موارد بسیاری نکته‌هایی از شیوه استاندارد پایتون‌نویسی که توسط سند `PEP 8 `__ به برنامه‌نویسان پایتون پیشنهاد می‌شود نیز آورده شده است؛ رعایت این اصول به یکدستی کدهای جامعه پایتون کمک می‌کند. [#f1]_ سینتکس (`Syntax `_) مجموعه‌ای از قواعد است که چگونگی برنامه‌نویسی به یک زبان مشخص را تعریف می‌کند؛ برای نمونه اینکه یک متن چطور نوشته شود که توسط مفسر پایتون به عنوان توضیح در نظر گرفته شود یا یک شی رشته، به رعایت سینتکس تعریف شده در پایتون بستگی دارد و چنانچه مفسر نتواند متن را با هیچ قاعده‌ تعریف شده‌ای مطابقت دهد یک استثنا گزارش خواهد شد. سینتکس پایتون تنها محدود به این درس نیست و موارد بسیار دیگری به مانند چگونگی تعریف اشیا گوناگون را در طی درس‌های آتی مشاهده خواهید کرد. @@ -945,6 +945,12 @@ NoneType True +.. _lesson-06-footer: + +پی‌نوشت +-------- + +.. [#f1] پروژه‌ای متن‌باز به منظور ترجمه PEP8 به فارسی نیز راه‌اندازی شده است. برای مطالعه می‌توانید به نشانی [`شیوه‌نامه نگارش پایتون (PEP 8 فارسی) `_] مراجعه نمایید. | diff --git a/source/lessons/l07-string-in-python.rst b/source/lessons/l07-string-and-bytes-in-python.rst similarity index 95% rename from source/lessons/l07-string-in-python.rst rename to source/lessons/l07-string-and-bytes-in-python.rst index fd223e6..56c640a 100644 --- a/source/lessons/l07-string-in-python.rst +++ b/source/lessons/l07-string-and-bytes-in-python.rst @@ -1,13 +1,13 @@ .. role:: emoji-size .. meta:: - :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هفتم: انواع داده در پایتون، رشته + :description: پایتون به پارسی - کتاب آنلاین و آزاد آموزش زبان برنامه‌نویسی پایتون - درس هفتم: انواع داده در پایتون، str و bytes :keywords: آموزش نوع داده رشته یا string در پایتون (str)، آموزش پایتون, آموزش برنامه نویسی, پایتون, انواع شی, انواع داده, انواع شی در پایتون, انواع داده در پایتون, رشته‌ها در پایتون, قالب بندی رشته, توابع رشته در پایتون .. _lesson-07.2: -درس ۰۷: انواع داده در پایتون: رشته +درس ۰۷: انواع داده در پایتون: str و bytes =========================================================== .. figure:: /_static/pages/07-python-built-in-data-types-1.jpg @@ -20,7 +20,7 @@ پایتون هر «نوع داده» (Data Type) را توسط یک کلاس ارایه می‌دهد؛ بنابراین هر داده یک نمونه یا یک شی از کلاسی مشخص است. هر چند برنامه‌نویس نیز می‌تواند با تعریف کلاس، نوع دلخواه خود را داشته باشد ولی در این درس می‌خواهیم درباره آن بخشی از انواع داده یا انواع شی‌ای که به شکل آماده (Built-in) در اختیار مفسر زبان پایتون قرار داده شده است صحبت کنیم. -در ادامه شرح «انواع عددی» در پایتون، این بخش به بررسی نوع «رشته» (String) در پایتون خواهد پرداخت. +در ادامه شرح «انواع عددی» در پایتون، این بخش به بررسی کامل نوع داده «رشته» (String) و همچنین نوع داده باینری (Binary) در پایتون خواهد پرداخت. با اینکه تلاش شده است جزییات کامل باشند ولی در برخی بخش‌ها مطالعه اسناد رسمی پایتون می‌تواند اطلاعات کامل‌تری را در اختیار شما قرار دهد. در مواقع بسیاری از تابع‌های آماده پایتون استفاده خواهد شد که ممکن است جزییاتی بیشتر از آنچه در این درس بیان می‌شود را داشته باشند؛ به همین دلیل لینک تعریف آن‌ها در اسناد پایتون نیز ارایه گشته است. نکته مهم در مطالعه این درس بررسی نمونه کدهاست که گاهی درک توضیحی که داده شده است بدون دقت در این نمونه کدها ناممکن خواهد بود. @@ -37,8 +37,8 @@ .. _python-string: -نوع رشته ------------ +نوع رشته (str) +--------------- نوع «رشته» (String) در پایتون با قرار گرفتن دنباله‌ای از کاراکترها درون یک جفت نماد نقل قول (Quotation) تکی ``' '`` یا دو تایی ``" "`` ایجاد می‌شود؛ به مانند ``"Python Strings"`` یا ``'Python Strings'`` که تفاوتی با یکدیگر از نظر نوع ندارند:: @@ -117,7 +117,7 @@ .. _python-string-sequence: رشته به عنوان دنباله‌ (Sequence) ----------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~`` برخی از انواع شی پایتون به مانند رشته، توپِل (tuple)، لیست (list) و... با عنوان **دنباله** (Sequence) نیز شناخته می‌شوند. دنباله ویژگی‌هایی دارد که در اینجا به کمک نوع رشته بررسی خواهیم کرد. رشته در واقع یک **دنباله** از کاراکترهاست در نتیجه می‌توان هر یک از اعضای این دنباله را با استفاده از اندیس (Index) موقعیت آن، دستیابی نمود؛ اندیس اعضا از سمت چپ با عدد صفر شروع و به سمت راست یک واحد یک واحد افزایش می‌یابد. به عنوان نمونه برای شی ``'Python Strings'`` می‌توانیم شمای اندیس‌گذاری را به صورت پایین در نظر بگیریم:: @@ -198,7 +198,7 @@ .. _python-string-operators: عملگرها برای رشته ------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~ با رشته‌ها نیز می‌توان از عملگرهای ``+`` (برای پیوند رشته‌ها) و ``*`` (برای تکرار رشته‌ها) بهره برد:: @@ -250,7 +250,7 @@ .. _python-escape-characters: کاراکترهای Escape ---------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~ به صورت پیش‌فرض تعدادی کاراکتر خاص تعریف شده است که می‌توان آن‌ها را درون رشته‌ها بکار برد. تمام این کاراکترها با یک ``\`` آغاز می‌شوند به همین دلیل گاهی نیز به نام Backslash Characters خوانده می‌شوند [`ویکی‌پدیا `__]. در واقع این کاراکترها امکانی برای درج برخی دیگر از کاراکترها هستند که نمی‌توان آن‌ها را به سادگی توسط صفحه‌کلید وارد کرد. برای نمونه یکی از کاراکترهای Escape رایج ``n\`` است که بیانگر کاراکتری با کد اسکی 10 (LF) به نام newline می‌باشد؛ ``n\`` در هر جایی از رشته (یا متن) که درج گردد در هنگام چاپ سطر جاری را پایان می‌دهد و ادامه رشته (یا متن) از سطر جدید آغاز می‌‌شود:: @@ -295,7 +295,7 @@ .. _python-character-code: تبدیل کد به کاراکتر و برعکس ------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ می‌دانیم برای اینکه کامپیوتر بتواند کاراکتر‌ها را درک کند نیاز به سیستم‌هایی است که آن‌ها را برای تبدیل به کدهای پایه دو کدگذاری کند؛ به مانند سیستم اَسکی (ASCII) یا سیستم‌های جامع‌تری مانند UTF-8 که تحت استاندارد یونیکد (Unicode) در دسترس است. گاهی نیاز است به این کدها دسترسی داشته باشیم و با کاراکترها بر اساس آن‌ها کار کنیم؛ برای این منظور در پایتون می‌توان از دو تابع ``()ord`` (تبدیل کد به کاراکتر) [`اسناد پایتون `__] و ``()chr`` (تبدیل کاراکتر به کد) [`اسناد پایتون `__] استفاده کرد. تابع ``()ord`` یک رشته تک کاراکتری را گرفته و یک عدد (در پایه ده) که بیانگر کد کاراکتر مورد نظر می‌باشد را برمی‌گرداند. تابع ``()chr`` نیز کد کاراکتری (که می‌بایست عددی در پایه ده باشد) را گرفته و کاراکتر مربوط به آن را برمی‌گرداند:: @@ -322,7 +322,7 @@ .. _python-convert-to-string: تبدیل به نوع رشته ------------------------ +~~~~~~~~~~~~~~~~~~~~~ برای تبدیل اشیایی از نوع دیگر به نوع رشته؛ کلاس ``()str`` [`اسناد پایتون `__] و تابع ``()repr`` [`اسناد پایتون `__] وجود دارد. کلاس ``()str`` یک نمونه غیر رسمی (informal) از نوع شی رشته را برمی‌گرداند؛ غیر رسمی از این جهت که توسط آن جزییات شی رشته پنهان می‌شود. اما تابع ``()repr`` یک نمونه رسمی (official) از نوع رشته پایتون را برمی‌گرداند. کمی قبل‌تر راجب تفاوت خروجی ``print`` و حالت تعاملی صحبت کردیم؛ در واقع خروجی ``()str`` مناسب برای چاپ است و همانند ``print`` جزییات این نوع شی را ارایه نمی‌دهد در حالی که ``()repr`` به مانند حالت تعاملی یک ارايه (representation) کامل از شی رشته را برمی‌گرداند:: @@ -360,15 +360,20 @@ .. _python-string-formatting: قالب‌بندی رشته‌ (String Formatting) ------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ قالب‌بندی امکانی برای جایگزین کردن یک یا چند مقدار (به بیان بهتر: شی) - گاهی همراه با اعمال تغییر دلخواه - درون یک رشته است که به چند روش در پایتون پیاده‌سازی می‌گردد: +* روش قدیمی و با استفاده از الگوی ``(s..." % (values%..."`` +* فراخوانی متد ``()format`` - با الگو ``(format(values."...{}..."`` +* f-string + + .. _python-string-formatting-old: -با الگو ``(s..." % (values%..."`` -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +قالب‌بندی به روش قدیم +~~~~~~~~~~~~~~~~~~~~~~~~ از دو بخش تشکیل شده است؛ بخش سمت چپ عملگر ``%``، رشته‌ای را مشخص می‌کند که شامل یک یا چند کد جایگذاری شی می‌باشد - کدهای جایگذاری همگی با یک کاراکتر ``%`` شروع می‌شوند؛ مانند: ``s%`` - و در سمت راست آن شی‌هایی برای جایگزین شدن در رشته، داخل پرانتز قرار دارد؛ این اشیا به ترتیب از سمت چپ درون رشته جایگذاری می‌گردند:: @@ -523,8 +528,8 @@ .. _python-string-formatting-new: -فراخوانی متد ``()format`` - با الگو ``(format(values."...{}..."`` -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +قالب‌بندی با متد format +~~~~~~~~~~~~~~~~~~~~~~~ در این قالب اشیا، آرگومان‌های یک متد مشخص هستند و با استفاده اندیس موقعیت‌ یا نام آن‌ها داخل ``{}`` در رشته جایگذاری می‌گردند:: @@ -659,8 +664,8 @@ .. _python-fstring: -f-string -~~~~~~~~~~ +قالب‌بندی به روش f-string +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ از نسخه پایتون 3.6 یک امکان جدید و بسیار جالب در بحث قالب‌بندی رشته‌ها ارايه شده است که با عنوان ``f-string`` شناخته می‌شود [`PEP 498 `__]. @@ -761,7 +766,7 @@ f-string .. _python-string-methods: برخی از متدهای کاربردی یک شی رشته ------------------------------------------------ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * ``()capitalize`` [`اسناد پایتون `__] - یک کپی از رشته که نخستین حرف آن به صورت بزرگ (Capital) نوشته شده است را برمی‌گرداند:: @@ -972,12 +977,14 @@ f-string >>> "3.4".isdigit() False -.. _python-string-types: +.. _python-bytes: -انواع رشته ------------------ +نوع داده باینری (bytes) +------------------------ -رشته در پایتون توسط سه نوع ارایه می‌گردد. :: +نوع داده دیگری که در پایتون فراهم آمده است، ``bytes`` بوده که معرف یک دنباله از بایت‌ها می‌باشد. از این نوع داده برای تعریف تمامی داده‌های باینری در پایتون استفاده می‌شود. داده‌هایی مانند یک فایل تصویر یا داده‌هایی که بر روی لایه شبکه (Network) تبادل می‌شوند، همگی در پایتون با این نوع داده قابل پردازش هستند. + +ساده‌ترین راه برای ارایه مثال، تبدیل نوع متنی یا همان ``str`` پایتون به نوع ``bytes`` است:: >>> a = "python" >>> type(a) @@ -987,11 +994,6 @@ f-string >>> type(a) - -* رشته‌های معمولی (حاوی کاراکترهای اَسکی و یونیکد) که تا این لحظه با آن‌ها کار می‌کردیم همگی توسط نوع ``str`` در پایتون معرفی شده‌اند. در واقع یک شی از کلاس ``str`` در پایتون هستند. -* داده‌های باینری: ``bytes`` - تمامی داده‌ها قابل چاپ نیستند، همانند داده‌های یک تصویر یا صوت. گاهی لازم است داده‌ها در همان شکل باینری مورد پردازش قرار بگیرند. نوع ``bytes`` در پایتون یک قابلیت برای ذخیره این دست داده‌ها می‌باشد که هر چند محدودیتی در کاربرد ندارد. -* نوع تغییر پذیر (Mutable) برای داده‌های باینری: ``bytearray`` - این نوع در واقع یک دنباله تغییر پذیر از نوع ``bytes`` است. - در پایتون برای ایجاد نوع ``bytes`` می‌توان از حرف ``b`` در ابتدای رشته یا از کلاس ``()bytes`` [`اسناد پایتون `__] استفاده کرد. در استفاده از کلاس، لازم است که سیستم کدگذاری آن را نیز مشخص نماییم و بهتر است داده‌های عددی را نیز به شکل یک شی لیست ارسال نماییم:: @@ -1026,8 +1028,6 @@ f-string همانند کلاس ``()bytes`` این بار برای ایجاد نوع ``bytearray`` از کلاس ``()bytearray`` [`اسناد پایتون `__] استفاده می‌شود:: - >>> # Python 3.x - >>> b = bytearray("python", "utf-8") >>> b @@ -1046,6 +1046,13 @@ f-string 'jython' +بنابراین به صورت کلی در پایتون: + + +* رشته‌های معمولی (حاوی کاراکترهای اَسکی و یونیکد) که تا این لحظه با آن‌ها کار می‌کردیم همگی توسط نوع ``str`` در پایتون معرفی شده‌اند. در واقع یک شی از کلاس ``str`` در پایتون هستند. +* تمامی داده‌ها قابل چاپ نیستند، همانند داده‌های یک تصویر یا صوت. گاهی لازم است داده‌ها در همان شکل باینری مورد پردازش قرار بگیرند. نوع ``bytes`` در پایتون یک قابلیت برای معرفی این دست داده‌ها می‌باشد که هر چند محدودیتی در کاربرد ندارد. +* نوع تغییرپذیر (Mutable) برای داده‌های باینری، ``bytearray`` است. این نوع در واقع یک دنباله تغییرپذیر از نوع ``bytes`` را تعریف می‌کند. + | diff --git a/source/lessons/l08-set-and-dict-in-python.rst b/source/lessons/l08-set-and-dict-in-python.rst index 74b50d4..06870e8 100644 --- a/source/lessons/l08-set-and-dict-in-python.rst +++ b/source/lessons/l08-set-and-dict-in-python.rst @@ -719,6 +719,8 @@ frozenset ['__and__', '__class__', '__contains__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__or__', '__rand__', '__reduce__', '__reduce_ex__', '__repr__', '__ror__', '__rsub__', '__rxor__', '__setattr__', '__sizeof__', '__str__', '__sub__', '__subclasshook__', '__xor__', 'copy', 'difference', 'intersection', 'isdisjoint', 'issubset', 'issuperset', 'symmetric_difference', 'union'] +.. _python-type-categories: + دسته‌بندی ----------- @@ -737,6 +739,21 @@ frozenset - Fraction - bool +* انواع متنی (Text Types): + + .. code-block:: html + :linenos: + + - str + +* انواع باینری (Binary Types): + + .. code-block:: html + :linenos: + + - bytes + - bytearray + * انواع دنباله (Sequence Types): .. code-block:: html @@ -748,7 +765,7 @@ frozenset - tuple - list -* انواع تغییر ناپذیر (Immutable Types): +* انواع تغییرناپذیر (Immutable Types): .. code-block:: html :linenos: @@ -765,7 +782,7 @@ frozenset - frozenset -* انواع تغییر پذیر (Mutable Types): +* انواع تغییرپذیر (Mutable Types): .. code-block:: html :linenos: diff --git a/source/log.rst b/source/log.rst index 629af2d..9a5e7d5 100644 --- a/source/log.rst +++ b/source/log.rst @@ -12,6 +12,16 @@ ============= +.. raw:: html + +

      00132 - شنبه ۲ اردیبهشت ۱۴۰۲

      + +* نام فایل «درس هفتم/بخش دوم» تغییر داده شد. +* توضیحات نوع bytes در درس هفتم ویرایش و بهبود داده شد. +* در درس ششم به پروژه pep8.ir یک ارجاع ایجاد گردید. + +---- + .. raw:: html

      00131 - پنج‌شنبه ۳۱ فروردین ۱۴۰۲

      From cce6de204f74ac034a1637906a10ac39efbe5543 Mon Sep 17 00:00:00 2001 From: Saeid Darvish Date: Sat, 22 Apr 2023 22:22:37 +0330 Subject: [PATCH 36/74] created support page --- .github/FUNDING.yml | 2 +- .../_static/cryptocurrency/saeiddrv-btc.jpg | Bin 0 -> 43865 bytes .../_static/cryptocurrency/saeiddrv-doge.jpg | Bin 0 -> 44263 bytes .../_static/cryptocurrency/saeiddrv-eth.jpg | Bin 0 -> 46300 bytes .../_static/cryptocurrency/saeiddrv-ltc.jpg | Bin 0 -> 45039 bytes .../sphinx_minoo_theme/includes/bottom.html | 4 +- .../sphinx_minoo_theme/includes/header.html | 2 +- .../sphinx_minoo_theme/includes/top.html | 4 +- .../_templates/sphinx_minoo_theme/layout.html | 2 +- .../{minoo-20230401.js => minoo-20230422.js} | 3 + source/{log.rst => changelog.rst} | 8 ++ source/index.rst | 5 +- .../{donate-report.rst => support-report.rst} | 5 +- source/support.rst | 102 ++++++++++++++++++ 14 files changed, 126 insertions(+), 11 deletions(-) create mode 100644 source/_static/cryptocurrency/saeiddrv-btc.jpg create mode 100644 source/_static/cryptocurrency/saeiddrv-doge.jpg create mode 100644 source/_static/cryptocurrency/saeiddrv-eth.jpg create mode 100644 source/_static/cryptocurrency/saeiddrv-ltc.jpg rename source/_templates/sphinx_minoo_theme/static/{minoo-20230401.js => minoo-20230422.js} (97%) rename source/{log.rst => changelog.rst} (98%) rename source/{donate-report.rst => support-report.rst} (98%) create mode 100644 source/support.rst diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml index 0b044a9..a00aaa6 100644 --- a/.github/FUNDING.yml +++ b/.github/FUNDING.yml @@ -1 +1 @@ -custom: ['https://payping.ir/@saeiddrv'] \ No newline at end of file +custom: ['https://python.coderz.ir/support.html'] \ No newline at end of file diff --git a/source/_static/cryptocurrency/saeiddrv-btc.jpg b/source/_static/cryptocurrency/saeiddrv-btc.jpg new file mode 100644 index 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