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index.html

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<!DOCTYPE html>
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<html lang="en-us">
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<head>
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<meta charset="UTF-8">
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<title>Python tutorials by mGalarnyk</title>
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" type="text/css" href="stylesheets/normalize.css" media="screen">
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<link href='https://fonts.googleapis.com/css?family=Open+Sans:400,700' rel='stylesheet' type='text/css'>
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<link rel="stylesheet" type="text/css" href="stylesheets/stylesheet.css" media="screen">
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<link rel="stylesheet" type="text/css" href="stylesheets/github-light.css" media="screen">
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</head>
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<body>
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<section class="page-header">
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<h1 class="project-name">Python tutorials</h1>
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<h2 class="project-tagline">Python tutorials in both Jupyter Notebook and youtube format. </h2>
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<a href="https://github.com/mGalarnyk/Python_Tutorials" class="btn">View on GitHub</a>
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<a href="https://github.com/mGalarnyk/Python_Tutorials/zipball/master" class="btn">Download .zip</a>
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<a href="https://github.com/mGalarnyk/Python_Tutorials/tarball/master" class="btn">Download .tar.gz</a>
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</section>
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<section class="main-content">
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<h1>
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<a id="python-tutorials" class="anchor" href="#python-tutorials" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Python Tutorials</h1>
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<h2>
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<a id="time-series" class="anchor" href="#time-series" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Time Series</h2>
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<h3>
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<a id="youtube" class="anchor" href="#youtube" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Youtube</h3>
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<p><a href="https://www.youtube.com/watch?v=OwnaUVt6VVE" title="Time Series Data Basics with Pandas part 1">Time Series Data Basics with Pandas Part 1</a></p>
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<p><a href="https://www.youtube.com/watch?v=1S5UKLqe-gg" title="Time Series Data Basics with Pandas part 2">Time Series Data Basics with Pandas Part 2</a></p>
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<h3>
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<a id="jupyter-notebook" class="anchor" href="#jupyter-notebook" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Jupyter Notebook</h3>
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<p><a href="https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part1_Time_Series_Data_BasicPlotting.ipynb" title="Time Series Data Basics with Pandas Part 1">Time Series Data Basics with Pandas Part 1</a></p>
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<p><a href="https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part2_Time_Series_Data_Price_Variation_ShiftingGroupBy.ipynb" title="Time Series Data Basics with Pandas Part 2">Time Series Data Basics with Pandas Part 2</a></p>
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<h2>
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<a id="pyspark-tutorials" class="anchor" href="#pyspark-tutorials" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>PySpark Tutorials</h2>
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<h3>
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<a id="youtube-1" class="anchor" href="#youtube-1" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Youtube</h3>
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<p><a href="https://www.youtube.com/watch?v=jg7Z8ctKpEs" title="Filtering and Word Count using PySpark on Pride and Prejudice">Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen</a></p>
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<h3>
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<a id="jupyter-notebook-1" class="anchor" href="#jupyter-notebook-1" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Jupyter Notebook</h3>
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<p><a href="https://github.com/mGalarnyk/Python_for_Finance_GUI_Regression_Etc/blob/master/PySpark_Basics/PySpark_Part1_Word_Count_Removing_Punctuation_Pride_Prejudice.ipynb" title="Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen">Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen</a></p>
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<h2>
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<a id="python-basics" class="anchor" href="#python-basics" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Python Basics</h2>
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<h3>
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<a id="youtube-2" class="anchor" href="#youtube-2" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Youtube</h3>
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<p><a href="https://www.youtube.com/watch?v=dSYJVbj4Eew" title="Linear Regression Python (sklearn, numpy, pandas)">Linear Regression Python (sklearn, numpy, pandas)</a></p>
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<p><a href="https://www.youtube.com/watch?v=AqIrdW2-K6k" title="Solving System of Equations">Solving System of Equations</a></p>
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<h3>
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<a id="jupyter-notebook-2" class="anchor" href="#jupyter-notebook-2" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Jupyter Notebook</h3>
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<p><a href="https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Linear_Regression/Linear_Regression_Python.ipynb" title="Linear Regression Python (sklearn, numpy, pandas)">Linear Regression Python (sklearn, numpy, pandas)</a></p>
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<p><a href="https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Solving_Systems_Equations/Solving%20System%20of%20Linear%20Equations%20using%20Python.ipynb" title="Solving System of Equations">Solving System of Equations</a></p>
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<h3>
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<a id="other-python-resources" class="anchor" href="#other-python-resources" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Other Python Resources</h3>
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<p><a href="https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Informatics/README.md" title="Python for Informatics">Python for Informatics</a></p>
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<p><a href="https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows" title="Python Installations">Python Installations</a></p>
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<p><a href="https://www.youtube.com/watch?v=WbNYvYCs9BY" title="Convert Jupyter Notebook to PDF">Convert Jupyter Notebook to PDF</a></p>
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<footer class="site-footer">
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<span class="site-footer-owner"><a href="https://github.com/mGalarnyk/Python_Tutorials">Python tutorials</a> is maintained by <a href="https://github.com/mGalarnyk">mGalarnyk</a>.</span>
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<span class="site-footer-credits">This page was generated by <a href="https://pages.github.com">GitHub Pages</a> using the <a href="https://github.com/jasonlong/cayman-theme">Cayman theme</a> by <a href="https://twitter.com/jasonlong">Jason Long</a>.</span>
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</footer>
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</section>
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</body>
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</html>

params.json

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{
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"name": "Python tutorials",
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"tagline": "Python tutorials in both Jupyter Notebook and youtube format. ",
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"body": "# Python Tutorials\r\n\r\n## Time Series\r\n\r\n### Youtube\r\n[Time Series Data Basics with Pandas Part 1](https://www.youtube.com/watch?v=OwnaUVt6VVE \"Time Series Data Basics with Pandas part 1\")\r\n\r\n[Time Series Data Basics with Pandas Part 2](https://www.youtube.com/watch?v=1S5UKLqe-gg \"Time Series Data Basics with Pandas part 2\")\r\n\r\n### Jupyter Notebook\r\n[Time Series Data Basics with Pandas Part 1](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part1_Time_Series_Data_BasicPlotting.ipynb \"Time Series Data Basics with Pandas Part 1\")\r\n\r\n[Time Series Data Basics with Pandas Part 2](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part2_Time_Series_Data_Price_Variation_ShiftingGroupBy.ipynb \"Time Series Data Basics with Pandas Part 2\")\r\n\r\n## PySpark Tutorials \r\n\r\n### Youtube\r\n[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://www.youtube.com/watch?v=jg7Z8ctKpEs \"Filtering and Word Count using PySpark on Pride and Prejudice\")\r\n\r\n### Jupyter Notebook\r\n[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://github.com/mGalarnyk/Python_for_Finance_GUI_Regression_Etc/blob/master/PySpark_Basics/PySpark_Part1_Word_Count_Removing_Punctuation_Pride_Prejudice.ipynb \"Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen\")\r\n\r\n## Python Basics \r\n\r\n### Youtube\r\n[Linear Regression Python (sklearn, numpy, pandas)](https://www.youtube.com/watch?v=dSYJVbj4Eew \"Linear Regression Python (sklearn, numpy, pandas)\")\r\n\r\n[Solving System of Equations](https://www.youtube.com/watch?v=AqIrdW2-K6k \"Solving System of Equations\")\r\n\r\n### Jupyter Notebook\r\n[Linear Regression Python (sklearn, numpy, pandas)](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Linear_Regression/Linear_Regression_Python.ipynb \"Linear Regression Python (sklearn, numpy, pandas)\")\r\n\r\n[Solving System of Equations](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Solving_Systems_Equations/Solving%20System%20of%20Linear%20Equations%20using%20Python.ipynb \"Solving System of Equations\")\r\n\r\n### Other Python Resources\r\n[Python for Informatics](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Informatics/README.md \"Python for Informatics\")\r\n\r\n[Python Installations](https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows \"Python Installations\")\r\n\r\n[Convert Jupyter Notebook to PDF](https://www.youtube.com/watch?v=WbNYvYCs9BY \"Convert Jupyter Notebook to PDF\")\r\n\r\n",
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"note": "Don't delete this file! It's used internally to help with page regeneration."
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}

stylesheets/github-light.css

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The MIT License (MIT)
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Copyright (c) 2016 GitHub, Inc.
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in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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