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‎README.md‎

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🚀 [Homepage](https://prodigiouspython.github.io/PythonWorkshop/)
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📖 [PDF](https://drive.google.com/file/d/1DF1IhLzjnLSzSlNO3PE1hcuv_Cgx6bAS/view?usp=sharing)
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Welcome to Python Workshop 🐍
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Idea of Python Workshop is to be different from the traditional books.

‎docs/CODE_OF_CONDUCT.html‎

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<ul class="nav bd-sidenav">
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<li class="toctree-l1">
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<a class="reference internal" href="intro.html">
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Welcome to Python Workshop. 🐍
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Python Workshop
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</ul>

‎docs/README.html‎

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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>&lt;no title&gt; &#8212; Python Workshop 🐍</title>
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<title>Python Workshop &#8212; Python Workshop 🐍</title>
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<link href="_static/css/index.c5995385ac14fb8791e8eb36b4908be2.css" rel="stylesheet" />
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<ul class="nav bd-sidenav">
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<a class="reference internal" href="intro.html">
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Welcome to Python Workshop. 🐍
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Python Workshop
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<!-- ipynb file if we had a myst markdown file -->
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<a class="dropdown-buttons" href="_sources/README.rst"><button type="button"
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class="btn btn-secondary topbarbtn" title="Download source file" data-toggle="tooltip"
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data-placement="left">.rst</button></a>
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data-placement="left">.md</button></a>
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<!-- Download PDF via print -->
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<i class="fas fa-list"></i> Contents
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<nav id="bd-toc-nav">
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<ul class="simple visible nav section-nav flex-column">
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h1 nav-item toc-entry">
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<a class="reference internal nav-link" href="#">
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Python Workshop
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</a>
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</li>
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<li class="toc-h1 nav-item toc-entry">
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<a class="reference internal nav-link" href="#development-setup">
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Development setup
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</a>
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</li>
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<li class="toc-h1 nav-item toc-entry">
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<a class="reference internal nav-link" href="#made-with">
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Made with ❤️
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</a>
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</li>
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</ul>
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<div class="section" id="python-workshop">
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<h1>Python Workshop<a class="headerlink" href="#python-workshop" title="Permalink to this headline"></a></h1>
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<p>🚀 <a class="reference external" href="https://prodigiouspython.github.io/PythonWorkshop/">Homepage</a></p>
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<p>📖 <a class="reference external" href="https://drive.google.com/file/d/1DF1IhLzjnLSzSlNO3PE1hcuv_Cgx6bAS/view?usp=sharing">PDF</a></p>
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<p>Welcome to Python Workshop 🐍</p>
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<p>Idea of Python Workshop is to be different from the traditional books.</p>
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<p>We wanted Python Workshop to be:</p>
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<ul class="simple">
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<li><p>Fun 🎉</p></li>
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<li><p>Executable 🤖</p></li>
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<li><p>Publishable via static web pages and PDF ⚙️</p></li>
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</ul>
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</div>
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<div class="section" id="development-setup">
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<h1>Development setup<a class="headerlink" href="#development-setup" title="Permalink to this headline"></a></h1>
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<p>First things first, We need to clone our repo</p>
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<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>git clone https://github.com/ProdigiousPython/PythonWorkshop.git
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</pre></div>
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</div>
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<p>We use <a class="reference external" href="https://python-poetry.org/">Poetry</a> for the dependency mangement.</p>
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<p>Let’s install the packages required using the below command:</p>
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<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>poetry install
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</pre></div>
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</div>
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<p>To run the jupyter-lab:</p>
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<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>poetry run jupyter-lab
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</pre></div>
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</div>
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<p>To convert the notebooks to html</p>
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<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>poetry run jb build .
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</pre></div>
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</div>
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<p>To convert the notebooks to pdf</p>
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<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>poetry run jb build --builder<span class="o">=</span>pdfhtml .
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</pre></div>
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</div>
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<p>The generated files would be present in <code class="docutils literal notranslate"><span class="pre">_build</span></code> folder.</p>
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</div>
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<div class="section" id="made-with">
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<h1>Made with ❤️<a class="headerlink" href="#made-with" title="Permalink to this headline"></a></h1>
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</div>
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{
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requestKernel: true,

‎docs/_sources/README.md‎

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# Python Workshop
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🚀 [Homepage](https://prodigiouspython.github.io/PythonWorkshop/)
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📖 [PDF](https://drive.google.com/file/d/1DF1IhLzjnLSzSlNO3PE1hcuv_Cgx6bAS/view?usp=sharing)
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Welcome to Python Workshop 🐍
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Idea of Python Workshop is to be different from the traditional books.
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We wanted Python Workshop to be:
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* Fun 🎉
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* Executable 🤖
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* Publishable via static web pages and PDF ⚙️
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# Development setup
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First things first, We need to clone our repo
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```shell
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git clone https://github.com/ProdigiousPython/PythonWorkshop.git
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```
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We use [Poetry](https://python-poetry.org/) for the dependency mangement.
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Let's install the packages required using the below command:
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```shell
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poetry install
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```
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To run the jupyter-lab:
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```shell
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poetry run jupyter-lab
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```
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To convert the notebooks to html
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```shell
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poetry run jb build .
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```
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To convert the notebooks to pdf
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```shell
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poetry run jb build --builder=pdfhtml .
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```
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The generated files would be present in `_build` folder.
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# Made with ❤️

‎docs/_sources/README.rst‎

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‎docs/_sources/intro.md‎

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# Welcome to Python Workshop. 🐍
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# Python Workshop
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Hello Pythoneer! Want to learn Python 🐍 with having fun? You have come to the right place ❤️.
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🚀 [Homepage](https://prodigiouspython.github.io/PythonWorkshop/)
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📖 [PDF](https://drive.google.com/file/d/1DF1IhLzjnLSzSlNO3PE1hcuv_Cgx6bAS/view?usp=sharing)
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Made with ❤️.
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Welcome to Python Workshop 🐍
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Idea of Python Workshop is to be different from the traditional books.
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We wanted Python Workshop to be:
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* Fun 🎉
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* Executable 🤖
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* Publishable via static web pages and PDF ⚙️
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# Development setup
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First things first, We need to clone our repo
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```shell
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git clone https://github.com/ProdigiousPython/PythonWorkshop.git
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```
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We use [Poetry](https://python-poetry.org/) for the dependency mangement.
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Let's install the packages required using the below command:
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```shell
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poetry install
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```
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To run the jupyter-lab:
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```shell
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poetry run jupyter-lab
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```
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To convert the notebooks to html
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```shell
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poetry run jb build .
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```
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To convert the notebooks to pdf
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```shell
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poetry run jb build --builder=pdfhtml .
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```
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The generated files would be present in `_build` folder.
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# Made with ❤️

‎docs/_sources/pythonworkshop/Chapter_1/1_Getting_Started_With_Python_Language.ipynb‎

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"It's pretty easy to start with Python Language 🐍.\n",
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"We would be using Python >= 3.9 in this [Repository](https://github.com/ProdigiousPython/PythonWorkshop) as of now 🙂\n",
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"1. [Download Python](https://www.python.org/)\n",
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"2. Pull the docker image [naveen8/pythonworkshop](https://hub.docker.com/r/naveen8/pythonworkshop) or build a Docker image by using the Dockerfile present in our [Repository](https://github.com/ProdigiousPython/PythonWorkshop) and run the container out of it which comes bundled with everything to run the code present in our repository 🚀."

‎docs/_sources/pythonworkshop/Chapter_5/1_Keywords.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "bb089e16-a64e-41c4-a01d-7654f6bfdf65",
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"metadata": {},
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"source": [
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"# Keywords"
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]
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},
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{
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"cell_type": "code",
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"id": "76702d74-72e3-4621-ac3a-465baa8e282e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import keyword"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3592919c-be3a-4428-a32d-5d19b7e397d1",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(*keyword.kwlist, sep=\"\\n\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎docs/_sources/pythonworkshop/Chapter_5/2_Keyword_explanation.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "3e8c13df-dac2-423b-a680-b28e47177412",
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"metadata": {
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"tags": []
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},
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"source": [
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"# Dive into each Keyword"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bd1579b5-1716-44cf-8c9f-95220a23d6f3",
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"metadata": {},
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"source": [
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"## False"
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]
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},
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{
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"cell_type": "markdown",
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"id": "634b6f6e-cf42-487e-bd54-12b406545ea0",
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"metadata": {},
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"source": [
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"As we have already discussed about False in our earlier lessons 😅, still, lets have a recap! The name does self describes itself. False in a constant boolean value whose integer equivalent is 0. "
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]
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},
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{
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"cell_type": "code",
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"id": "82f78323-98d8-457e-9ae6-902cb4194e63",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(int(False))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "689b976b-6d17-4e64-bd82-fbdd85bb8938",
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"metadata": {},
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"source": [
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"We do get "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎docs/_static/documentation_options.js‎

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VERSION: '',
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BUILDER: 'singlehtml',
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LINK_SUFFIX: '.html',
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HAS_SOURCE: true,

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