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new company and podcast resources
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content/pages/01-introduction/07-companies.markdown

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@@ -22,6 +22,10 @@ to [build web apps](/web-development.html), [analyze data](/data.html),
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[Part two](https://eng.uber.com/tech-stack-part-two/) explains the higher
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levels of the marketplace and user interfaces.
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* [Netflix uses Python](https://talkpython.fm/episodes/show/16/python-at-netflix)
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throughout their organization to run chaos engineering tests and generally
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glue together the code from their high-functioning polyglot teams.
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* [Facebook and Instagram use Python 3](https://thenewstack.io/instagram-makes-smooth-move-python-3/)
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at scale. They've been very vocal about successfully making the migration
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from the [Python 2 world into Python 3](/python-2-or-3.html).

content/pages/01-introduction/10-best-python-podcasts.markdown

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@@ -9,9 +9,9 @@ meta: Find out the best Python podcasts as well as general software development
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# Best Python Podcasts
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The [Python community](/python-community.html) has an embarrassment of riches
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when it comes to free and low cost resources for both new and experienced
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software developers. These great resources include several Python podcasts
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that are released on regular schedules.
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when it comes to [free and low cost resources](/best-python-resources.html)
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for both new and experienced software developers. These great resources
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include several Python podcasts that are released on regular schedules.
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This page contains a list of active Python-specific and software engineering
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high-quality podcasts.
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*Spoiler alert*: this is the episode I was on Talk Python to Me explaining
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how [Python web application deployments](/deployment.html) work.
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* Python Bytes talked extensively about
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[object-relational mappers (ORMs)](/object-relational-mappers-orms.html)
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on
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[episode #39](https://pythonbytes.fm/episodes/show/39/the-new-pypi) where
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a lot of the discussion was based on the
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[Full Stack Python ORMs](/object-relational-mappers-orms.html) page.
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Thanks guys, it was great to hear the feedback about what worked and what
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didn't work for you about the explanations!
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* The
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[Python at Netflix](https://talkpython.fm/episodes/show/16/python-at-netflix)
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episode of Talk Python to Me provided an awesome view inside the largest
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internet site by bandwidth and how Python fits into their polyglot
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organization.
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* Another great Talk Python to Me episode,
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[Python in Finance](https://talkpython.fm/episodes/show/120/python-in-finance),
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explains how Python is used in the broad finance industry for stock trading,
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quantitative analysis and data analytics. Check this one out if you have
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wondered how opaque private companies like hedge funds use Python to make
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(a lot of) money.
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<div class="well see-also">If you prefer to learn Python by reading check out the <a href="/best-python-resources.html">best Python resources page</a> or <a href="/table-of-contents.html">view all topics</a>.</div>
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machine learning, artificial intelligence and "scientific skepticism".
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* [Data stories](http://datastori.es/) is a podcast on data visualization.
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* [Partially Derivative](http://partiallyderivative.com/) was a podcast for
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machine learning, artificial intelligence and the data community. They
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finished their last episode in late 2017 but the
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[episodes list](http://partiallyderivative.com/podcast/) contains
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a slew of existing content.

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