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add new podcast resources
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‎content/pages/01-introduction/10-best-python-podcasts.markdown

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@@ -17,7 +17,40 @@ This page contains a list of active Python-specific and software engineering
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high-quality podcasts.
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## Favorite podcast episodes
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### Python-specific podcasts
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These podcasts are run and recorded by Python developers who focus on
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topics that are important to our field. Each podcast series has a long
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list of previously-recorded episodes that are still relevant even if they
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are several years old so you will always have some great material to
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listen and learn.
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* [Talk Python to Me](https://talkpython.fm) focuses on the
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people and organizations coding on Python. Each episode features a
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different guest interviewee to talk about his or her work.
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* [Podcast.\_\_init\_\_](http://podcastinit.com/) is another regular podcast
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that presents stories about Python and interviews "with the people who
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make it great".
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* [Python Bytes](https://pythonbytes.fm/) is a new podcast from the creators
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of the above mentioned "Talk Python to Me" and "Test and Code Podcast".
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* [Test and Code Podcast](http://pythontesting.net/test-podcast/) focuses
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on [testing](/testing.html) and related topics such as mocking and
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[code metrics](/code-metrics.html).
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* Professor Philip Guo has a video podcast called
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[PG Podcast](http://pgbovine.net/PG-Podcast.htm), typically on
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Python subjects.
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[All episodes are listed on a separate page](http://pgbovine.net/PG-Podcast-summary.htm).
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* [Import This](https://www.kennethreitz.org/import-this/) is an occasional
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podcast from [Kenneth Reitz](https://github.com/kennethreitz) and
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[Alex Gaynor](https://github.com/alex) with very in-depth interviews with
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influential [Python community](/python-community.html) members.
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### Favorite podcast episodes
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Here are a list of my favorite episodes from various Python podcasts before
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we dive into entire podcast recommendations in the next section. Dig into
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these episodes to get a feel for various personalities and styles in
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how [Python web application deployments](/deployment.html) work.
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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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## Python-specific podcasts
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* [Talk Python to Me](https://talkpython.fm) focuses on the
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people and organizations coding on Python. Each episode features a
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different guest interviewee to talk about his or her work.
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### General software development podcasts
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These podcasts are not specific to Python but cover relevant software
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engineering topics and often have episodes on Python topics. At the
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very least you will become a better general software developer by
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listening and learning from them.
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* [Podcast.\_\_init\_\_](http://podcastinit.com/) is another regular podcast
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that presents stories about Python and interviews "with the people who
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make it great".
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* [Test and Code Podcast](http://pythontesting.net/test-podcast/) focuses
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on [testing](/testing.html) and related topics such as mocking and
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[code metrics](/code-metrics.html).
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* [Python Bytes](https://pythonbytes.fm/) is a new podcast from the creators
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of the above mentioned "Talk Python to Me" and "Test and Code Podcast".
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* [Import This](https://www.kennethreitz.org/import-this/) is an occasional
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podcast from Ken Reitz and Alex Gaynor with very in-depth interviews with
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influential Python community members.
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* Professor Philip Guo has a video podcast called
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[PG Podcast](http://pgbovine.net/PG-Podcast.htm), typically on
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Python subjects.
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[All episodes are listed on a separate page](http://pgbovine.net/PG-Podcast-summary.htm).
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<div class="well see-also">If you prefer to learn 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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## General software development podcasts
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* [Software Engineering Daily](https://softwareengineeringdaily.com/)
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incredibly has a podcast every day with a different developer on a
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huge range of relevant development subjects.
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* [DataFramed](https://www.datacamp.com/community/podcast) is a data
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science podcast that often covers Python libraries and other areas of
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interest to people using Python to analyze [data](/data.html).
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* [All things Git](https://www.allthingsgit.com/) talks to developers
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using, building and working with Git with new episodes every two weeks.
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(at 1.5x speed) and it's well worth the 45 to 60 minutes spent
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listening to Ben Thompson and James Allworth go deep on a weekly topic.
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* [Test Talks](https://joecolantonio.com/testtalks/) examines a software
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testing topic each week, usually with a special guest focused on the
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area being examined.
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### Data science and analysis podcasts
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The [data](/data.html) science community does not only use Python as its
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core programming language but it plays a big role in almost every
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organization performing data analysis. The following podcasts cover
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data science broadly and often get specific into Python ecosystem tools.
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* [DataFramed](https://www.datacamp.com/community/podcast) is a data
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science podcast that often covers Python libraries and other areas of
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interest to people using Python to analyze [data](/data.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.

‎content/pages/03-data/18-numpy.markdown

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<img src="/img/logos/numpy.jpg" width="100%" alt="NumPy logo.">
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### Example NumPy code
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* [SmoothLife](https://github.com/duckythescientist/SmoothLife) is an
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implementation of [Conway's Game of Life](https://bitstorm.org/gameoflife/)
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using NumPy. The project uses a continuous space rather than the
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traditional discrete board.
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### NumPy resources
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* [From Python to NumPy](http://www.labri.fr/perso/nrougier/from-python-to-numpy/)
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is an awesome resource that shows how to use your basic

‎content/pages/05-deployment/38-serverless.markdown

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* [The (fixable) problem with serverless](https://www.iopipe.com/2016/06/the-fixable-problem-with-serverless/)
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* [Serverless architectures](http://martinfowler.com/articles/serverless.html)
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provides a fantastic overview of the subject with a balanced approach
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that includes the drawbacks seen in current serverless platforms.
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* [Why the fuss about serverless?](https://hackernoon.com/why-the-fuss-about-serverless-4370b1596da0)
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is a wide-ranging post about the history of application development and

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