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working on podcasts page. added new matplotlib resource
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content/pages/01-introduction/10-best-python-podcasts.markdown

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@@ -97,6 +97,10 @@ listening and learning from them.
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are also interviews with experienced developers building well-known
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projects.
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* [Developer on Fire](http://developeronfire.com/) interviews programmers,
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architects and testers with their stories of success, failure and
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excellence.
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* [Command_line Heroes](https://www.redhat.com/en/command-line-heroes)
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covers [operating system](/operating-systems.html)-level topics as
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well as [DevOps](/devops.html).
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* [Data Skeptic](https://dataskeptic.com/) covers data science, statistics,
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machine learning, artificial intelligence and "scientific skepticism".
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* [Data stores](http://datastori.es/) is a podcast on data visualization.
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* [Data stories](http://datastori.es/) is a podcast on data visualization.

content/pages/03-data/23-matplotlib.markdown

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* [5 Quick and Easy Data Visualizations in Python](https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f)
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shows several code examples with explanations for performing exploratory
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data analysis using Matplotlib.
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* [Introduction to Matplotlib — Data Visualization in Python](https://heartbeat.fritz.ai/introduction-to-matplotlib-data-visualization-in-python-d9143287ae39)
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explains how to install and start using Matplotlib. The post has a ton
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of detail on customizing your plots and graphs after creating the
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initial visuals.
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