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add matplot lib starter page
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title: Matplotlib
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category: page
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slug: matplotlib
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sortorder: 0925
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toc: False
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sidebartitle: Matplotlib
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meta: Matplotlib is a data visualization plotting library that builds visuals in Python for output in Jupyter Notebooks and web apps.
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# Matplotlib
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Matplotlib is a data visualization plotting library where a developer can
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code visuals in Python and output them as part of
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[Jupyter Notebooks](/jupyter-notebook.html),
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[web applications](/web-development.html) and graphical user interface (GUI)
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toolkits.
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<img src="/img/logos/matplotlib.png" width="100%" alt="Matplotlib logo." class="shot">
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### Matplotlib resources
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* [Effectively using Matplotlib](http://pbpython.com/effective-matplotlib.html)
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is an awesome getting started tutorial that breaks through the confusing
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beginner steps so you can quick start using the plotting library.
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* [Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Web Data Insights](http://www.scrapingauthority.com/python-scrapy-mysql-and-matplotlib-to-gain-web-data-insights/)
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is a long and comprehensive tutorial that walks through obtaining,
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cleaning and visualizing data.
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* The
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[Python cheat sheet for Matplotlib on GitHub](https://github.com/juliangaal/python-cheat-sheet/blob/master/Matplotlib/Matplotlib.md)
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has a slew of example code blocks for generating plots.
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* [Matplotlib Cheat Sheet: Plotting in Python](https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet)
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contains some handy snippets of code to perform common plotting operations
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in Matplotlib.
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<h3>What else would you like to learn about data with Python?</h3>
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<div class="row">
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<div class="c4">
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<div class="well select-next">
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{% include "choices/buttons/databases.html" %}
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</div>
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</div>
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<div class="c4">
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<div class="well select-next">
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{% include "choices/buttons/no-sql-datastore.html" %}
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</div>
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</div>
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<div class="c4">
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<div class="well select-next">
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{% include "choices/buttons/why-use-python.html" %}
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</div>
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</div>
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</div>

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