Updates for January 25, 2022 Course

Includes changes to the NLP content. TextBlob has deprecated its language translation feature so I added some new snippets using the deep_translator open source module.

Author: pdeitel

StartHere.ipynb

@@ -41,27 +41,45 @@
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
-    }
+    },
+    "tags": []
    },
    "source": [
     "# My Upcoming O'Reilly Live Training Courses\n",
     "https://deitel.com/LearnWithDeitel\n",
     "\n",
-    "* **January 18**—Python Full Throttle   \n",
-    "* **January 25**—Python Data Science Full Throttle \n",
     "* **February 8**—Java Full Throttle   \n",
     "* **February 15**—Python Full Throttle   \n",
     "* **February 28**—Python Data Science Full Throttle \n",
-    "* March schedule coming soon\n",
-    "\n",
-    "My Python courses run every 4-5 weeks and my Java course runs every 7-9 weeks. \n",
+    "* **March 15**—Python Full Throttle   \n",
+    "* **March 22**—Python Data Science Full Throttle \n",
+    "* April schedule coming soon\n",
     "\n",
+    "My Python courses run every 4-5 weeks and my Java course runs every 7-9 weeks. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<hr style=\"height:2px; border:none; color:#000; background-color:#000;\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
     "# Other Courses and Content Under Development\n",
-    "* **C++20 Full Throttle** (at least one course, maybe two)\n",
-    "* **Java How to Program, 12/e** and **Java for Programmers** based on **Java 17** (LTS)\n",
-    "* **Java Fundamentals LiveLessons** based on **Java 17** (LTS)\n",
-    "* **C Fundamentals LiveLessons** \n",
-    "* **C Full Throttle** webinar"
+    "* **C++20 Full Throttle: Core Language** (Q2)\n",
+    "* **C++20 Full Throttle: Standard Library** (Q3)\n",
+    "* **Updated Java books, LiveLessons videos and Full Throttles** based on **Java 17** (LTS) and higher\n",
+    "* **Updated Python books, LiveLessons videos and Full Throttles** based on **Python 3.10+** and latest library versions\n",
+    "* (If time) **C Fundamentals LiveLessons** \n",
+    "* (If time) **C Full Throttle** webinar"
    ]
   },
   {
@@ -79,7 +97,9 @@
     }
    },
    "source": [
-    "# Early Access on O'Reilly:<br/>**C++20 LiveLessons** Sneak Peek and<br/>**C++20 for Programmers** Rough Cut E-Book<br/>https://deitel.com/LearnWithDeitel\n",
+    "# Going to Publication Next Week: **C++20 for Programmers** \n",
+    "Early Access on O'Reilly to our **C++20 LiveLessons** Sneak Peek and E-Book: https://deitel.com/LearnWithDeitel\n",
+    "\n",
     "<a href=\"https://learning.oreilly.com/videos/c20-fundamentals/9780136875185\"><img alt=\"C++ Fundamentals LiveLessons cover\" src=\"./images/cpp20ll.jpg\" width=\"200px\" border=\"1\"/></a>&nbsp;&nbsp;&nbsp;<a href=\"https://learning.oreilly.com/library/view/c20-for-programmers/9780136905776/\"><img alt=\"C++20 for Programmers cover\" src=\"./images/c-plus-plus-20-for-programmers.jpg\"  width=\"184px\" border=\"1\"/></a>\n"
    ]
   },
@@ -94,8 +114,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# C How to Program, 9/e:< with Application Programming and Systems Programming Case Studies\n",
-    "**E-mail **paul@deitel.com** with questions.\n",
+    "# C How to Program, 9/e: with Application Programming and Systems Programming Case Studies\n",
+    "**E-mail paul@deitel.com** with questions.\n",
     "\n",
     "<a style=\"float: left; padding-right:30px\" href=\"https://deitel.com/c-how-to-program-9-e/\"><img alt=\"C How to Program, 9/e\" src=\"https://deitel.com/wp-content/uploads/2021/02/c-how-to-program-9-e.jpg\" width=\"200px\" border=\"1\"/></a>\n",
     "\n",
@@ -394,27 +414,45 @@
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
-    }
+    },
+    "tags": []
    },
    "source": [
     "# My Upcoming O'Reilly Live Training Courses\n",
     "https://deitel.com/LearnWithDeitel\n",
     "\n",
-    "* **January 18**&mdash;Python Full Throttle   \n",
-    "* **January 25**&mdash;Python Data Science Full Throttle \n",
     "* **February 8**&mdash;Java Full Throttle   \n",
     "* **February 15**&mdash;Python Full Throttle   \n",
     "* **February 28**&mdash;Python Data Science Full Throttle \n",
-    "* March schedule coming soon\n",
-    "\n",
-    "My Python courses run every 4-5 weeks and my Java course runs every 7-9 weeks. \n",
+    "* **March 15**&mdash;Python Full Throttle   \n",
+    "* **March 22**&mdash;Python Data Science Full Throttle \n",
+    "* April schedule coming soon\n",
     "\n",
+    "My Python courses run every 4-5 weeks and my Java course runs every 7-9 weeks. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<hr style=\"height:2px; border:none; color:#000; background-color:#000;\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
     "# Other Courses and Content Under Development\n",
-    "* **C++20 Full Throttle** (at least one course, maybe two)\n",
-    "* **Java How to Program, 12/e** and **Java for Programmers** based on **Java 17** (LTS)\n",
-    "* **Java Fundamentals LiveLessons** based on **Java 17** (LTS)\n",
-    "* **C Fundamentals LiveLessons** \n",
-    "* **C Full Throttle** webinar"
+    "* **C++20 Full Throttle: Core Language** (Q2)\n",
+    "* **C++20 Full Throttle: Standard Library** (Q3)\n",
+    "* **Updated Java books, LiveLessons videos and Full Throttles** based on **Java 17** (LTS) and higher\n",
+    "* **Updated Python books, LiveLessons videos and Full Throttles** based on **Python 3.10+** and latest library versions\n",
+    "* (If time) **C Fundamentals LiveLessons** \n",
+    "* (If time) **C Full Throttle** webinar"
    ]
   },
   {
@@ -453,7 +491,8 @@
     }
    },
    "source": [
-    "# Early Access on O'Reilly:<br/>**C++20 LiveLessons** Sneak Peek and<br/>**C++20 for Programmers** Rough Cut E-Book<br/>https://deitel.com/LearnWithDeitel\n",
+    "# **C++20 for Programmers** and **C++20 Fundamentals LiveLessons videos** https://deitel.com/LearnWithDeitel\n",
+    "\n",
     "<a style=\"float:left; padding-right:10px; width: 200px;\" href=\"https://learning.oreilly.com/videos/c20-fundamentals/9780136875185\"><img alt=\"C++ Fundamentals LiveLessons cover\" src=\"./images/cpp20ll.jpg\" border=\"1\"/></a>\n",
     "\n",
     "<a style=\"float:left; padding-right:10px; width:184px;\" href=\"https://learning.oreilly.com/library/view/c20-for-programmers/9780136905776/\"><img alt=\"C++20 for Programmers cover\" src=\"./images/c-plus-plus-20-for-programmers.jpg\" border=\"1\"/></a>\n"

ch11/Ch11.ipynb

@@ -188,8 +188,7 @@
    "metadata": {},
    "source": [
     "## 11.2.3 Parts-of-Speech (POS) Tagging\n",
-    "* `TextBlob` uses [**pattern library**](https://github.com/clips/pattern) to determine **parts-of-speech**\n",
-    "    * Pattern's [63 parts-of-speech tags](https://www.clips.uantwerpen.be/pages/MBSP-tags)"
+    "* `nltk` [**parts-of-speech** tags](https://www.guru99.com/pos-tagging-chunking-nltk.html)"
    ]
   },
   {
@@ -366,12 +365,12 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "spanish = blob.translate(to='es')  # translate to target language Spanish ('es') "
+    "**NOTE:** TextBlob translate method is now deprecated. Instead, you can install https://deep-translator.readthedocs.io/en/latest/\n",
+    "\n",
+    "> `pip install -U deep_translator`\n"
    ]
   },
   {
@@ -380,7 +379,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "spanish"
+    "from deep_translator import GoogleTranslator"
    ]
   },
   {
@@ -389,7 +388,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chinese = blob.translate(to='zh')  # translate to Simplified Chinese ('zh') "
+    "GoogleTranslator.get_supported_languages(as_dict=True) # dictionary of supported languages"
    ]
   },
   {
@@ -398,22 +397,26 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chinese  "
+    "# autodetect source language and translate to Spanish\n",
+    "spanish = GoogleTranslator(source='auto', target='es').translate(blob.string)  "
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "<hr style=\"height:2px; border:none; color:#000; background-color:#000;\">"
+    "# spanish = blob.translate(to='es')  # translate to target language Spanish ('es') "
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## 11.2.7 Language Detection and Translation (3 of 3)\n",
-    "* Notice **differences** in the **text translated back to English** from Spanish and Chinese "
+    "spanish"
    ]
   },
   {
@@ -422,7 +425,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "blob"
+    "# autodetect source language and translate to Spanish\n",
+    "chinese = GoogleTranslator(source='auto', target='zh-CN').translate(blob.string)"
    ]
   },
   {
@@ -431,16 +435,33 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "spanish = TextBlob('Ayer fue un hermoso día. Mañana parece mal tiempo.')"
+    "chinese  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<hr style=\"height:2px; border:none; color:#000; background-color:#000;\">"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 11.2.7 Language Detection and Translation (3 of 3)\n",
+    "* Notice **differences** in the **text translated back to English** from Spanish and Chinese "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "spanish.translate()  # autodetect source language; translates to English by default"
+    "blob"
    ]
   },
   {
@@ -449,7 +470,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chinese = TextBlob('昨天是美好的一天。明天看起来天气不好。')"
+    "# autodetect source language and translate to English\n",
+    "GoogleTranslator(source='auto', target='en').translate(spanish)  "
    ]
   },
   {
@@ -460,7 +482,8 @@
    },
    "outputs": [],
    "source": [
-    "chinese.translate()"
+    "# autodetect source language and translate to English\n",
+    "GoogleTranslator(source='auto', target='en').translate(chinese)  "
    ]
   },
   {

ch12/Ch12.ipynb

@@ -709,7 +709,7 @@
     "### Automatic Paging\n",
     "* To **get up to 200 followers at a time**, create the `Cursor` with the **`count`** keyword argument\n",
     ">```python\n",
-    "cursor = tweepy.Cursor(api.followers, screen_name='nasa', count=200)\n",
+    "cursor = tweepy.Cursor(api.get_followers, screen_name='nasa', count=200)\n",
     "```\n",
     "* Calling `Cursor` method **`items`** with no argument attempts to get **all followers**\n",
     "    * Could **take significant time** due to **rate limits**"
@@ -1249,7 +1249,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [

ch13/Ch13.ipynb

@@ -9,7 +9,10 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
+    "tags": []
+   },
    "source": [
     "# 13. IBM Watson and Cognitive Computing"
    ]
@@ -130,6 +133,12 @@
     "pip install pydub \n",
     "```\n",
     "\n",
+    "These are also installable now with conda, which will auto install `portaudio` if necessary:\n",
+    "```\n",
+    "conda install pyaudio  \n",
+    "conda install pydub \n",
+    "```\n",
+    "\n",
     "**Mac users** might first need to execute\n",
     ">`conda install -c conda-forge portaudio`\n"
    ]

ch14/Ch14.ipynb

@@ -1008,7 +1008,7 @@
    "source": [
     "estimators = {\n",
     "    'KNeighborsClassifier': knn, \n",
-    "    'SVC': SVC(gamma='scale'),\n",
+    "    'SVC': SVC(),\n",
     "    'GaussianNB': GaussianNB()}"
    ]
   },
@@ -1112,7 +1112,8 @@
    "metadata": {},
    "source": [
     "# 14.4 Case Study: Time Series and Simple Linear Regression \n",
-    "\\[**Note:** I no longer cover this case study in this webinar due to lack of time. See the full presentation in my [**Python Fundamentals** videos (8 videos in this case study)](https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson14_23)\\]\n",
+    "**Note:** I no longer cover this case study in this webinar due to lack of time. See the full presentation in my [**Python Fundamentals** videos (8 videos in this case study)](https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson14_23)\n",
+    "\n",
     "* **Simple linear regression** is the **simplest** regression algorithm\n",
     "* Given a collection of numeric values representing an **independent variable** and a **dependent variable**, simple linear regression **describes the relationship between these variables with a straight line**, known as the **regression line**\n",
     "* Using a **time series** of average New York City January high-temperature data for 1895 through 2018, we'll\n",
@@ -1134,7 +1135,8 @@
    "metadata": {},
    "source": [
     "# 14.5 Case Study: Multiple Linear Regression with the California Housing Dataset\n",
-    "\\[**Note:** I no longer cover this case study in this webinar due to lack of time. See the full presentation in my [**Python Fundamentals** videos (10 videos in this case study)](https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson14_31)\\]\n",
+    "**Note:** I no longer cover this case study in this webinar due to lack of time. See the full presentation in my [**Python Fundamentals** videos (10 videos in this case study)](https://learning.oreilly.com/videos/python-fundamentals/9780135917411/9780135917411-PFLL_Lesson14_31)\n",
+    "\n",
     "* [**California Housing dataset**](http://lib.stat.cmu.edu/datasets) bundled with scikit-learn \n",
     "* **Larger real-world dataset** \n",
     "    **20,640 samples**, each with **eight numerical features**\n",
@@ -1280,7 +1282,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "tsne = TSNE(n_components=2, random_state=11)"
+    "tsne = TSNE(n_components=2, random_state=11) "
    ]
   },
   {
@@ -1464,7 +1466,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
@@ -1911,6 +1912,15 @@
     "print(kmeans.labels_[100:150])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "kmeans.cluster_centers_"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},