diff --git a/days/01-03-datetimes/code/bites.ipynb b/days/01-03-datetimes/code/bites.ipynb new file mode 100644 index 00000000..5a7aa350 --- /dev/null +++ b/days/01-03-datetimes/code/bites.ipynb @@ -0,0 +1,258 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f18aa4c5", + "metadata": {}, + "source": [ + "### First" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "461ee5b5", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "import os\n", + "import urllib.request\n", + "\n", + "SHUTDOWN_EVENT = 'Shutdown initiated'\n", + "\n", + "# prep: read in the logfile\n", + "tmp = os.getenv(\"TMP\", \"/tmp\")\n", + "logfile = os.path.join(tmp, 'log')\n", + "urllib.request.urlretrieve(\n", + " 'https://bites-data.s3.us-east-2.amazonaws.com/messages.log',\n", + " logfile\n", + ")\n", + "\n", + "with open(logfile) as f:\n", + " loglines = f.readlines()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0bc03c7", + "metadata": {}, + "outputs": [], + "source": [ + "def convert_to_datetime(line):\n", + " \"\"\"TODO 1:\n", + " Extract timestamp from logline and convert it to a datetime object.\n", + " For example calling the function with:\n", + " INFO 2014-07-03T23:27:51 supybot Shutdown complete.\n", + " returns:\n", + " datetime(2014, 7, 3, 23, 27, 51)\n", + " \"\"\"\n", + " datetime_str = line.split(\" \")[1]\n", + " date_str, time_str = datetime_str.split('T')\n", + " \n", + " year, month, day = date_str.split('-')\n", + " year, month, day = int(year), int(month), int(day)\n", + " \n", + " hours, mins, secs = time_str.split(':')\n", + " hours, mins, secs = int(hours), int(mins), int(secs)\n", + " \n", + " return datetime(year, month, day, hours, mins, secs)\n", + "\n", + "\n", + "def time_between_shutdowns(loglines):\n", + " \"\"\"TODO 2:\n", + " Extract shutdown events (\"Shutdown initiated\") from loglines and\n", + " calculate the timedelta between the first and last one.\n", + " Return this datetime.timedelta object.\n", + " \"\"\"\n", + " shutdown_lines = [line for line in loglines if 'Shutdown' in line]\n", + " first_dt = convert_to_datetime(shutdown_lines[0])\n", + " last_dt = convert_to_datetime(shutdown_lines[-1])\n", + " return last_dt - first_dt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0c32a9b7", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime, timedelta\n", + "\n", + "def test_convert_to_datetime():\n", + " line1 = 'ERROR 2014-07-03T23:24:31 supybot Invalid user dictionary file'\n", + " line2 = 'INFO 2015-10-03T10:12:51 supybot Shutdown initiated.'\n", + " line3 = 'INFO 2016-09-03T02:11:22 supybot Shutdown complete.'\n", + " assert convert_to_datetime(line1) == datetime(2014, 7, 3, 23, 24, 31)\n", + " assert convert_to_datetime(line2) == datetime(2015, 10, 3, 10, 12, 51)\n", + " assert convert_to_datetime(line3) == datetime(2016, 9, 3, 2, 11, 22)\n", + "\n", + "\n", + "def test_time_between_events():\n", + " diff = time_between_shutdowns(loglines)\n", + " assert type(diff) == timedelta\n", + " assert str(diff) == '0:03:31'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae623c96", + "metadata": {}, + "outputs": [], + "source": [ + "test_convert_to_datetime()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cdb31174", + "metadata": {}, + "outputs": [], + "source": [ + "test_time_between_events()" + ] + }, + { + "cell_type": "markdown", + "id": "6ba67da6", + "metadata": {}, + "source": [ + "### Second" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60d0ec22", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import date, timedelta\n", + "\n", + "start_100days = date(2017, 3, 30)\n", + "pybites_founded = date(2016, 12, 19)\n", + "pycon_date = date(2018, 5, 8)\n", + "\n", + "\n", + "def get_hundred_days_end_date():\n", + " \"\"\"Return a string of yyyy-mm-dd\"\"\"\n", + " op = start_100days + timedelta(days=100)\n", + " return f\"{op.year}-{op.month:02d}-{op.day:02d}\"\n", + "\n", + "\n", + "def get_days_between_pb_start_first_joint_pycon():\n", + " \"\"\"Return the int number of days\"\"\"\n", + " return (pycon_date - pybites_founded).days" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a87330d", + "metadata": {}, + "outputs": [], + "source": [ + "get_hundred_days_end_date()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "edc1f5ba", + "metadata": {}, + "outputs": [], + "source": [ + "get_days_between_pb_start_first_joint_pycon()" + ] + }, + { + "cell_type": "markdown", + "id": "57f0e1c9", + "metadata": {}, + "source": [ + "### Third" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c34b3de5", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "\n", + "THIS_YEAR = 2018\n", + "\n", + "def years_ago(date):\n", + " date_obj = datetime.strptime(date, '%d %b, %Y')\n", + " year = date_obj.year\n", + " diff = THIS_YEAR - year\n", + " \n", + " return diff\n", + "\n", + "from datetime import datetime\n", + "\n", + "def convert_eu_to_us_date(date):\n", + " eu_date_obj = datetime.strptime(date, '%d/%m/%Y')\n", + " us_date_str = eu_date_obj.strftime('%m/%d/%Y')\n", + " return us_date_str" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9fa2fe0", + "metadata": {}, + "outputs": [], + "source": [ + "result = years_ago(\"8 Aug, 2015\")\n", + "result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c14faba", + "metadata": {}, + "outputs": [], + "source": [ + "us_date = convert_eu_to_us_date(\"11/03/2002\")\n", + "us_date" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "30a32b4d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/days/01-03-datetimes/code/datetime_date.ipynb b/days/01-03-datetimes/code/datetime_date.ipynb new file mode 100644 index 00000000..188b783a --- /dev/null +++ b/days/01-03-datetimes/code/datetime_date.ipynb @@ -0,0 +1,265 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "5eff9d23", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import date, datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5307a497", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime(2023, 11, 5, 14, 33, 53, 373719)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today = datetime.today()\n", + "today" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d5e2ae34", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(today)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6c1fb68d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.date(2023, 11, 5)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today_date = date.today()\n", + "today_date" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "18572bb9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.date" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(today_date)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2854058c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today_date.day" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "943b7c00", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today_date.month" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d31c25c3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2023" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today_date.year" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "50684af4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.date(2023, 12, 25)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "christmas = date(today_date.year, 12, 25)\n", + "christmas" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bea745a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.timedelta(days=50)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "diff = (christmas - today_date)\n", + "diff" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "57b99c9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sorry there are still 50 until Christmas!!!\n" + ] + } + ], + "source": [ + "if christmas != today_date:\n", + " print(f\"Sorry there are still {diff.days} until Christmas!!!\")\n", + "else:\n", + " print(\"Yay it's Christmas\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "580de2af", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50b86814", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/days/01-03-datetimes/code/datetime_timedelta.ipynb b/days/01-03-datetimes/code/datetime_timedelta.ipynb new file mode 100644 index 00000000..c541d31c --- /dev/null +++ b/days/01-03-datetimes/code/datetime_timedelta.ipynb @@ -0,0 +1,202 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "4a1ee416", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime, timedelta" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "947b16e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.timedelta(days=4, seconds=36000)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t = timedelta(days=4, hours=10)\n", + "t" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5d6c978a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t.days" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "8f1cd263", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "36000" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t.seconds" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b067a25f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10.0" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t.seconds / 3600" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "de3bf208", + "metadata": {}, + "outputs": [], + "source": [ + "eta = timedelta(hours=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "64137fcc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime(2023, 11, 5, 14, 36, 8, 13675)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today = datetime.today()\n", + "today" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bef6b7eb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime(2023, 11, 5, 20, 36, 8, 13675)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "today + eta" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b59b5013", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2023-11-05 20:36:08.013675'" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "str(today + eta)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "93960182", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/days/04-06-collections/collections.ipynb b/days/04-06-collections/collections.ipynb index 6d76035f..71c71ed3 100644 --- a/days/04-06-collections/collections.ipynb +++ b/days/04-06-collections/collections.ipynb @@ -791,7 +791,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -805,7 +805,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.8.13" } }, "nbformat": 4, diff --git a/days/04-06-collections/day4.ipynb b/days/04-06-collections/day4.ipynb new file mode 100644 index 00000000..6a742553 --- /dev/null +++ b/days/04-06-collections/day4.ipynb @@ -0,0 +1,491 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5d34db15", + "metadata": {}, + "source": [ + "### Namedtuple" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d41f1511", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import namedtuple" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f84e519b", + "metadata": {}, + "outputs": [], + "source": [ + "user = ('bob', 'coder')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "79450ddb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'bob is a coder'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f'{user[0]} is a {user[1]}'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "98900a1d", + "metadata": {}, + "outputs": [], + "source": [ + "User = namedtuple('User', ['name', 'role'])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0de0c654", + "metadata": {}, + "outputs": [], + "source": [ + "user = User(name='bob', role='coder')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "42f3c90d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "User(name='bob', role='coder')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "user" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "83b0be03", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'bob is a coder'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f'{user.name} is a {user.role}'" + ] + }, + { + "cell_type": "markdown", + "id": "55ff26a9", + "metadata": {}, + "source": [ + "### Defaultdict" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1853bd1c", + "metadata": {}, + "outputs": [], + "source": [ + "users = {'bob': 'coder'}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "699569ef", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'julian'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m users[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbob\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 2\u001b[0m \u001b[43musers\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mjulian\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n", + "\u001b[0;31mKeyError\u001b[0m: 'julian'" + ] + } + ], + "source": [ + "users['bob']\n", + "users['julian']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "0663c1f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'coder'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.get('bob')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "586acc6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "users.get('julian') is None" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e6fc07fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('mike', 10),\n", + " ('julian', 7),\n", + " ('bob', 5),\n", + " ('mike', 11),\n", + " ('julian', 8),\n", + " ('bob', 6)]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "challenges_done = [('mike', 10), ('julian', 7), ('bob', 5),\n", + " ('mike', 11), ('julian', 8), ('bob', 6)]\n", + "challenges_done" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "25d3411c", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "'mike'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m challenges \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name, challenge \u001b[38;5;129;01min\u001b[39;00m challenges_done:\n\u001b[0;32m----> 3\u001b[0m \u001b[43mchallenges\u001b[49m\u001b[43m[\u001b[49m\u001b[43mname\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mappend(challenge)\n", + "\u001b[0;31mKeyError\u001b[0m: 'mike'" + ] + } + ], + "source": [ + "challenges = {}\n", + "for name, challenge in challenges_done:\n", + " challenges[name].append(challenge)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "675604df", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "978d3b7e", + "metadata": {}, + "outputs": [], + "source": [ + "challenges = defaultdict(list)\n", + "for name, challenge in challenges_done:\n", + " challenges[name].append(challenge)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e876dcfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "defaultdict(list, {'mike': [10, 11], 'julian': [7, 8], 'bob': [5, 6]})" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "challenges" + ] + }, + { + "cell_type": "markdown", + "id": "aecc74bb", + "metadata": {}, + "source": [ + "### Counter" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c6ae6a2f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Lorem', 'Ipsum', 'is', 'simply', 'dummy']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "words = \"\"\"Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been \n", + "the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and \n", + "scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into \n", + "electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of\n", + "Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus\n", + "PageMaker including versions of Lorem Ipsum\"\"\".split()\n", + "words[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3556d860", + "metadata": {}, + "outputs": [], + "source": [ + "common_words = defaultdict(int)\n", + "\n", + "for word in words:\n", + " common_words[word] += 1" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "2fba8597", + "metadata": {}, + "outputs": [], + "source": [ + "most_common = dict(sorted(common_words.items(), key=lambda x: x[1], reverse=True)[:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "0f108c8a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'the': 6, 'Lorem': 4, 'Ipsum': 4, 'of': 4, 'and': 3}" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "most_common" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "d3e39b35", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import Counter" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "962d6673", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('the', 6), ('Lorem', 4), ('Ipsum', 4), ('of', 4), ('and', 3)]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Counter(words).most_common(5)" + ] + }, + { + "cell_type": "markdown", + "id": "9e0aab4d", + "metadata": {}, + "source": [ + "### Deque\n", + "\n", + "Pronounced as deck " + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "f860f37b", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import deque\n", + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "501fe20c", + "metadata": {}, + "outputs": [], + "source": [ + "lst = list(range(10000000))\n", + "deq = deque(range(10000000))" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "6e5f984c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "139 ms ± 33.6 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n", + "24.2 µs ± 5.01 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n" + ] + } + ], + "source": [ + "def insert_and_delete(ds):\n", + " for _ in range(10):\n", + " index = random.choice(range(100))\n", + " ds.remove(index)\n", + " ds.insert(index, index)\n", + "\n", + "%timeit insert_and_delete(lst)\n", + "\n", + "%timeit insert_and_delete(deq)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a4d2099", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + 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