<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0"><channel><title><![CDATA[The Python Show]]></title><description><![CDATA[A Python Podcast about programming, content creation, and much more!]]></description><link>https://www.pythonshow.com</link><image><url>https://substackcdn.com/image/fetch/$s_!XcxA!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbef497a0-6f07-42bc-be61-7eea5f3fc01e_1280x1280.png</url><title>The Python Show</title><link>https://www.pythonshow.com</link></image><generator>Substack</generator><lastBuildDate>Tue, 28 Apr 2026 14:41:35 GMT</lastBuildDate><atom:link href="https://www.pythonshow.com/feed" rel="self" type="application/rss+xml"/><copyright><![CDATA[Mike Driscoll]]></copyright><language><![CDATA[en]]></language><webMaster><![CDATA[mike@pythonshow.com]]></webMaster><itunes:owner><itunes:email><![CDATA[mike@pythonshow.com]]></itunes:email><itunes:name><![CDATA[Mike Driscoll]]></itunes:name></itunes:owner><itunes:author><![CDATA[Mike Driscoll]]></itunes:author><googleplay:owner><![CDATA[mike@pythonshow.com]]></googleplay:owner><googleplay:email><![CDATA[mike@pythonshow.com]]></googleplay:email><googleplay:author><![CDATA[Mike Driscoll]]></googleplay:author><itunes:block><![CDATA[Yes]]></itunes:block><item><title><![CDATA[56 - Python Illustrated]]></title><description><![CDATA[In this episode, we hear from two sisters who put together a beginner's book about Python.]]></description><link>https://www.pythonshow.com/p/56-python-illustrated</link><guid isPermaLink="false">https://www.pythonshow.com/p/56-python-illustrated</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Fri, 13 Mar 2026 02:13:03 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/190720713/99046c65ec0ae89a471a13a015312ca6.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we hear from two sisters who put together a beginner's book about Python. The unique hook for their book is that one sister wrote the text while the other did the illustrations. Listen in as we learn about these incredible sisters and how they got into software programming, writing, and technical education.</p><p>You can check out their book, Python Illustrated, on <a href="https://www.packtpub.com/en-at/product/python-illustrated-9781836646327">Packt</a> or <a href="https://amzn.to/4do0JXY">Amazon</a>.</p><p>Maaike is an <a href="https://www.udemy.com/user/maaikevanputtencapgeminicom/">Udemy instructor</a>, and she also has courses on <a href="https://www.pluralsight.com/authors/maaike-vanputten">Pluralsight</a>.</p><p></p>]]></content:encoded></item><item><title><![CDATA[55 - The Python Documentary with Paul Everitt]]></title><description><![CDATA[In this episode, we have special guest Paul Everitt on the show to talk about the new Python Documentary that came our last week.]]></description><link>https://www.pythonshow.com/p/55-the-python-documentary-with-paul</link><guid isPermaLink="false">https://www.pythonshow.com/p/55-the-python-documentary-with-paul</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 03 Sep 2025 12:31:27 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/172087492/649e68a21124cbbae3100aa27a3dce5f.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we have special guest Paul Everitt on the show to talk about the new <a href="https://www.youtube.com/watch?v=pqBqdNIPrbo">Python Documentary</a> that came our last week. Paul is the head of developer advocacy at JetBrains and a &#8220;Python oldster&#8221;.</p><p>We chat about Python - the documentary, Paul&#8217;s start in programming as well as with Python, and much, much more!</p><h2>Links</h2><ul><li><p><a href="https://www.youtube.com/watch?v=GfH4QL4VqJ0">Python: The Documentary</a></p></li><li><p>Paul&#8217;s <a href="https://github.com/pauleveritt">GitHub page</a></p></li><li><p>Paul&#8217;s <a href="https://x.com/paulweveritt">X account</a></p></li><li><p><strong><a href="https://thenewstack.io/how-python-grew-from-a-language-to-a-community/">How Python Grew From a Language to a Community</a> - The New Stack</strong></p></li></ul><p></p>]]></content:encoded></item><item><title><![CDATA[54 - Neural Networks and Data Visualization with Nicolas Rougier]]></title><description><![CDATA[In this episode, we have the honor of having Nicolas Rougier on our show.]]></description><link>https://www.pythonshow.com/p/neural-networks-and-data-visualization</link><guid isPermaLink="false">https://www.pythonshow.com/p/neural-networks-and-data-visualization</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 27 Aug 2025 13:24:26 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/172009050/d04fba0afe2683c126e5bba0ee3e56d8.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we have the honor of having Nicolas Rougier on our show. Nicolas is a researcher and team leader at the Institute of Neurodegenerative Diseases (Bordeaux, France).</p><p>We discuss how Nicolas utilizes computational models and neural networks in his research on the brain. We also talk about Nicolas&#8217;s history with Python, his work on <a href="https://glumpy.github.io/">Glumpy </a>and <a href="https://github.com/vispy/vispy">VisPy</a>, and much, much more!</p><h2>Links</h2><ul><li><p><a href="https://github.com/rougier">Nicolas&#8217;s GitHub page</a> </p></li><li><p><strong><a href="https://github.com/rougier/scientific-visualization-book">Scientific Visualization: Python &amp; Matplotlib</a></strong>, an open access book on scientific visualization.</p></li><li><p><strong><a href="https://www.labri.fr/perso/nrougier/from-python-to-numpy/">From Python to Numpy</a></strong>, an open access book on numerical computing</p></li><li><p><a href="https://github.com/rougier/braincraft">Braincraft</a></p></li><li><p><strong><a href="https://github.com/rougier/numpy-100">100 Numpy Exercises</a></strong> is a collection of 100 numpy exercises, from easy to hard.</p></li></ul>]]></content:encoded></item><item><title><![CDATA[Writing Creating TUI Applications with Textual and Python]]></title><description><![CDATA[In this episode, Mike Driscoll talks about his latest book, Creating TUI Applications with Textual and Python.]]></description><link>https://www.pythonshow.com/p/writing-creating-tui-applications</link><guid isPermaLink="false">https://www.pythonshow.com/p/writing-creating-tui-applications</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 24 Jul 2025 20:31:50 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/169172335/7c5aca36751639d9fe680b49e055d62d.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, Mike Driscoll talks about his latest book, <a href="https://www.blog.pythonlibrary.org/2025/07/15/creating-tuis-with-textual-and-python-is-released/">Creating TUI Applications with Textual and Python</a>.</p><p>Learn about how and why the book came about, what were some pain points in writing the book and how much fun Textual is. You will also learn about some of the current problems in self-publishing tech books.</p><p>You can purchase <strong>Creating TUI Applications with Textual and Python</strong> on the following websites:</p><ul><li><p><a href="https://www.amazon.com/dp/B0FGDNC3H6">Amazon</a> (Kindle and Paperback)</p></li><li><p><a href="https://leanpub.com/textual/">Leanpub</a> (eBook)</p></li><li><p><a href="https://driscollis.gumroad.com/l/textual">Gumroad</a> (eBook)</p></li></ul>]]></content:encoded></item><item><title><![CDATA[52 - PyTorch and LLMs with Daniel Voigt Godoy]]></title><description><![CDATA[In today&#8217;s podcast, we welcome Daniel Voigt Godoy to the show.]]></description><link>https://www.pythonshow.com/p/52-pytorch-and-llms-with-daniel-voigt</link><guid isPermaLink="false">https://www.pythonshow.com/p/52-pytorch-and-llms-with-daniel-voigt</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 15 Jan 2025 17:23:13 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/154832663/5f31300636960753294bb4b80fd3e623.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In today&#8217;s podcast, we welcome Daniel Voigt Godoy to the show. Daniel is the author of <a href="https://pytorchstepbystep.com/">Deep Learning with PyTorch Step-by-Step</a> among other books.</p><p>We chatted about the following topics:</p><ul><li><p>Favorite Python packages</p></li><li><p>PyTorch</p></li><li><p>Book writing</p></li><li><p>and so much more!</p></li></ul><p>Be sure to check out the links section to learn more about Daniel!</p><h2>Links</h2><ul><li><p>The binary cross-entropy post: <a href="https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a">https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a</a></p></li><li><p>The PyTorch post: <a href="https://medium.com/towards-data-science/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e">https://medium.com/towards-data-science/understanding-pytorch-with-an-example-a-step-by-step-tutorial-81fc5f8c4e8e</a></p></li><li><p>Daniel&#8217;s new LLM book: <a href="https://leanpub.com/finetuning">https://leanpub.com/finetuning</a></p></li><li><p>Daniel&#8217;s books on <a href="https://www.amazon.com/stores/Daniel-Voigt-Godoy/author/B09SQ2P4JY">Amazon</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[51 - Dead Simple Python with Jason McDonald]]></title><description><![CDATA[In this episode, we have special guest, Jason McDonald, the author of Dead Simple Python from No Starch Press.]]></description><link>https://www.pythonshow.com/p/51-dead-simple-python-with-jason</link><guid isPermaLink="false">https://www.pythonshow.com/p/51-dead-simple-python-with-jason</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 09 Jan 2025 21:35:53 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/154508547/4e0c8bdd8d10e455828d23c3c8b350da.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we have special guest, Jason McDonald, the author of <a href="https://nostarch.com/dead-simple-python">Dead Simple Python</a> from No Starch Press.</p><p>We chatted about the following topics:</p><ul><li><p>Python packages</p></li><li><p>Packaging in general</p></li><li><p>Python concurrency vs parallelism</p></li><li><p>Book writing</p></li><li><p>What&#8217;s coming in the 2nd edition of his Python book</p></li><li><p>and much more!</p></li></ul><h2>Links</h2><p>Check out the following links from the show:</p><ul><li><p>Get <a href="https://nostarch.com/dead-simple-python">Dead Simple Python</a> from No Starch</p></li><li><p>Check out Jason&#8217;s <a href="https://codemouse92.com/">website</a></p></li><li><p>You can find Jason&#8217;s <a href="https://ajcharlesonpublishing.com/books">fiction books here</a></p></li></ul><div class="subscription-widget-wrap-editor" data-attrs="{&quot;url&quot;:&quot;https://www.pythonshow.com/subscribe?&quot;,&quot;text&quot;:&quot;Subscribe&quot;,&quot;language&quot;:&quot;en&quot;}" data-component-name="SubscribeWidgetToDOM"><div class="subscription-widget show-subscribe"><div class="preamble"><p class="cta-caption">The Python Show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.</p></div><form class="subscription-widget-subscribe"><input type="email" class="email-input" name="email" placeholder="Type your email&#8230;" tabindex="-1"><input type="submit" class="button primary" value="Subscribe"><div class="fake-input-wrapper"><div class="fake-input"></div><div class="fake-button"></div></div></form></div></div><p></p>]]></content:encoded></item><item><title><![CDATA[50 - Imposter Syndrome]]></title><description><![CDATA[Imposter syndrome is a topic that some engineers and developers struggle with.]]></description><link>https://www.pythonshow.com/p/50-imposter-syndrome</link><guid isPermaLink="false">https://www.pythonshow.com/p/50-imposter-syndrome</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 19 Dec 2024 15:54:18 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/153369753/d9bbd8099998b2fb3ceb58b345900f50.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>Imposter syndrome is a topic that some engineers and developers struggle with. It&#8217;s basically a type of self-doubt. <a href="https://www.webmd.com/balance/what-is-imposter-syndrome">WebMD</a> has a good description and some good ideas for fighting self-doubt.</p><p>Ways to combat imposter syndrome:</p><ul><li><p>List out your accomplishments on a regular basis (keep it in a Google doc)</p></li><li><p>Review the list</p></li><li><p>If you receive compliments, record them (make a copy, write it down, take a screenshot) and store those too</p></li><li><p>Reminder: you will never stop learning. Embrace it!</p></li></ul><h2>Sponsor</h2><p>&#128680; Python devs, this one&#8217;s for you. If you&#8217;re tired of struggling with context-unaware coding tools, let me introduce you to a game-changer I&#8217;ve been exploring: <strong>Zencoder.</strong></p><p>Here&#8217;s why it&#8217;s caught my attention:</p><p>1&#65039;&#8419; <strong>Python-friendly to its core.</strong> Whether you&#8217;re building web apps, analyzing data, or automating tasks, Zencoder delivers <strong>context-aware suggestions</strong> that actually understand your project. No more &#8220;guessing&#8221; code completions. But don't worry it supports other programming languages as well!</p><p>2&#65039;&#8419; <strong>Custom AI agents</strong> you can create and tweak. Imagine having a bot that automates your repetitive Python tasks&#8212;refactoring, testing, debugging&#8212;leaving you free to tackle the fun parts.</p><p>3&#65039;&#8419; <strong>Natural language to code</strong> magic. Want to build a quick game for fun or a Python script in seconds? Just describe it in plain English, and Zencoder makes it happen. (Yes, it&#8217;s <em>that</em> good.)</p><p>I&#8217;ve also been loving how it seamlessly supports <strong>unit testing</strong> and <strong>bug fixing</strong>&#8212;a massive time-saver for clean code lovers like me.</p><p>Check out Zencoder if you&#8217;re looking for an AI assistant that actually gets Python devs:</p><p class="button-wrapper" data-attrs="{&quot;url&quot;:&quot;https://hubs.la/Q02__SV00&quot;,&quot;text&quot;:&quot;Zencoder&quot;,&quot;action&quot;:null,&quot;class&quot;:null}" data-component-name="ButtonCreateButton"><a class="button primary" href="https://hubs.la/Q02__SV00"><span>Zencoder</span></a></p><p></p>]]></content:encoded></item><item><title><![CDATA[49 - EdgeDB and Python with Yury Selivanov]]></title><description><![CDATA[In this episode of The Python Show Podcast, we welcome Yury Selivanov as our guest.]]></description><link>https://www.pythonshow.com/p/49-edgedb-and-python-with-yury-selivanov</link><guid isPermaLink="false">https://www.pythonshow.com/p/49-edgedb-and-python-with-yury-selivanov</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 30 Oct 2024 17:31:15 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/150948232/b8d4149d56f4cbb86c9de623f2898f7b.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode of The Python Show Podcast, we welcome Yury Selivanov as our guest. Yury is a core CPython developer and co-founder of EdgeDB and MagicStack.</p><p>We chatted about many different topics, including the following:</p><ul><li><p>Core Python development</p></li><li><p>EdgeDB and how it differs from relational databases</p></li><li><p>Python without the GIL</p></li><li><p>Python subinterpreters</p></li><li><p>Memhive</p></li><li><p>and more!</p></li></ul><h2>Links</h2><p>Learn more about our guest and the topics we talked about with the following links:</p><ul><li><p>Yury&#8217;s <a href="https://github.com/1st1">GitHub page</a></p></li><li><p>EdgeDB on <a href="https://github.com/edgedb">GitHub</a></p></li><li><p>EdgeDB&#8217;s <a href="https://www.edgedb.com/">website</a></p></li><li><p>PyCon 2024 - <a href="https://www.youtube.com/watch?v=fwRMdncVOnA">Yury Selivanov: Overcoming GIL with subinterpreters and immutability</a></p></li><li><p>An article about <a href="https://lwn.net/Articles/987238/">Memhive</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[48 - Writing About Python with David Mertz]]></title><description><![CDATA[In this episode of the Python Show Podcast, David Mertz is our guest.]]></description><link>https://www.pythonshow.com/p/48-writing-about-python-with-david</link><guid isPermaLink="false">https://www.pythonshow.com/p/48-writing-about-python-with-david</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 23 Oct 2024 14:24:40 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/150613904/5ef4c854f430abf6322c223e45a00ceb.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode of the Python Show Podcast, David Mertz is our guest. David is a prolific writer about the Python programming language. From his extremely popular IPM Developerworks articles to his multiple books on the Python language, David has been a part of the Python community for decades.</p><p>We ended up chatting about:</p><ul><li><p>The history of Python</p></li><li><p>Book writing</p></li><li><p>Conference speaking</p></li><li><p>The PSF</p></li><li><p>and more!</p></li></ul><h2>Show Links</h2><ul><li><p>David Mertz&#8217;s <a href="https://gnosis.cx/publish/">website</a></p></li><li><p>PyDev of the Week: David Mertz on <a href="https://www.blog.pythonlibrary.org/2016/11/21/pydev-of-the-week-david-mertz/">Mouse vs Python</a></p></li><li><p>David Mertz on <a href="https://www.informit.com/authors/bio/B7E5477C-FB54-492B-8E33-4D080C3A96D5">InformIT / Pearson</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[47 - Python Projects of 2024]]></title><description><![CDATA[I&#8217;ve been working on lots of projects this year.]]></description><link>https://www.pythonshow.com/p/47-python-projects-of-2024</link><guid isPermaLink="false">https://www.pythonshow.com/p/47-python-projects-of-2024</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 19 Sep 2024 00:37:37 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/149080420/9de153e5dcfd938bff5353624d6a8e34.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>I&#8217;ve been working on lots of projects this year. Here are the ones I highlighted in this episode:</p><ul><li><p><a href="https://pythonloggingbook.com/">Python Logging Book</a></p></li><li><p><a href="https://driscollis.gumroad.com/l/python_logging_course">Python Logging Video Course</a></p></li><li><p><a href="https://pypi.org/project/ObjectListView3/">ObjectListView3</a></p></li><li><p><a href="https://www.kickstarter.com/projects/driscollis/jupyterlab-101-learn-the-latest-jupyter-notebook">JupyterLab 101 Book</a> on Kickstarter</p></li><li><p>A book on Textual</p></li><li><p>Updates for my <a href="https://leanpub.com/reportlab">ReportLab</a> and <a href="https://driscollis.gumroad.com/l/wxgui">wxPython</a> books</p></li><li><p><a href="https://www.pythonpapers.com/">Python Papers Newsletter</a></p></li></ul><div class="subscription-widget-wrap-editor" data-attrs="{&quot;url&quot;:&quot;https://www.pythonshow.com/subscribe?&quot;,&quot;text&quot;:&quot;Subscribe&quot;,&quot;language&quot;:&quot;en&quot;}" data-component-name="SubscribeWidgetToDOM"><div class="subscription-widget show-subscribe"><div class="preamble"><p class="cta-caption">The Python Show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.</p></div><form class="subscription-widget-subscribe"><input type="email" class="email-input" name="email" placeholder="Type your email&#8230;" tabindex="-1"><input type="submit" class="button primary" value="Subscribe"><div class="fake-input-wrapper"><div class="fake-input"></div><div class="fake-button"></div></div></form></div></div><p></p>]]></content:encoded></item><item><title><![CDATA[Dashboards in Python with Streamlit]]></title><description><![CDATA[Special Guest: Channin Nantasenamat]]></description><link>https://www.pythonshow.com/p/dashboards-in-python-with-streamlit</link><guid isPermaLink="false">https://www.pythonshow.com/p/dashboards-in-python-with-streamlit</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Fri, 05 Jul 2024 01:20:10 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/146262369/0d3f8dddc35a7af12089604cca19ad89.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>This week, I chatted with Channin Nantasenamat about Python and the Streamlit web framework.</p><p>Specifically, we chatted about the following topics:</p><ul><li><p>Python packages</p></li><li><p>Streamlit</p></li><li><p>Teaching bioinformatics</p></li><li><p>Differences in data science disciplines</p></li><li><p>Being a YouTuber</p></li><li><p>and much more!</p></li></ul><h2>Links</h2><ul><li><p>Data Professor <a href="https://www.youtube.com/dataprofessor">YouTube Channel</a></p></li><li><p>Follow Channin on <a href="https://x.com/thedataprof">X / Twitter</a></p></li><li><p><a href="https://streamlit.io/">Streamlit</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[45 - Computer Vision and Data Science with Python]]></title><description><![CDATA[Special Guest: Kyle Stratis]]></description><link>https://www.pythonshow.com/p/45-computer-vision-and-data-science</link><guid isPermaLink="false">https://www.pythonshow.com/p/45-computer-vision-and-data-science</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 20 Jun 2024 22:11:32 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/145848014/cbe8f54f2eaf792e66235d748210c38b.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we welcome Kyle Stratis from Real Python to the show to chat with us about computer vision and Python.</p><p>We chatted about several different topics including:</p><ul><li><p>Writing about Python on <a href="https://realpython.com/face-recognition-with-python/">Real Python</a></p></li><li><p>Data science</p></li><li><p>Artificial intelligence</p></li><li><p>Python packaging</p></li><li><p>and much more!</p></li></ul><h2>Links</h2><ul><li><p><a href="https://www.gradio.app/">https://www.gradio.app/</a></p></li><li><p><a href="https://docs.aws.amazon.com/cdk/v2/guide/work-with-cdk-python.html">https://docs.aws.amazon.com/cdk/v2/guide/work-with-cdk-python.html</a>&nbsp;</p></li><li><p><a href="https://pynamodb.readthedocs.io/en/stable/">https://pynamodb.readthedocs.io/en/stable/</a>&nbsp;</p></li><li><p><a href="https://kylestratis.com">https://kylestratis.com</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[44 - Django with Will Vincent]]></title><description><![CDATA[In this episode, we welcome Will Vincent to the Python Show Podcast.]]></description><link>https://www.pythonshow.com/p/44-django-with-will-vincent</link><guid isPermaLink="false">https://www.pythonshow.com/p/44-django-with-will-vincent</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 13 Jun 2024 01:59:25 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/140567719/8985ad77679dba01876f76e3f841ebb1.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we welcome Will Vincent to the Python Show Podcast. Will has written several books on Django.</p><p>We chatted about all things Django and Python. Specifically, we covered the following topics:</p><ul><li><p>Favorite Python packages</p></li><li><p>Podcasts</p></li><li><p>Content creation</p></li><li><p>Book writing</p></li><li><p>Why Django versus another web framework</p></li><li><p>AI and writing</p></li><li><p>and more!</p></li></ul><h2>Links</h2><ul><li><p>Follow Will on <a href="https://fosstodon.org/@wsvincent">Mastodon</a></p></li><li><p>Check out Will&#8217;s work on <a href="https://github.com/wsvincent/">GitHub</a></p></li><li><p><a href="https://learndjango.com">Learn Django</a> with Will</p></li><li><p>Will Vincent&#8217;s <a href="https://wsvincent.com">personal website</a></p></li><li><p><a href="https://django-news.com">Django News </a>newsletter</p></li><li><p><a href="https://djangochat.com">Django Chat</a> podcast</p></li><li><p><a href="https://github.com/wsvincent/django-microframework">django-microframework</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[43 - Python Image Processing with Pillow]]></title><description><![CDATA[Special Guest: Alex Clark]]></description><link>https://www.pythonshow.com/p/43-python-image-processing-with-pillow</link><guid isPermaLink="false">https://www.pythonshow.com/p/43-python-image-processing-with-pillow</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 06 Jun 2024 13:46:44 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/145354724/65dc34fff461861ad8333014b9e0ad81.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, Mike has Alex Clark on the show. Alex is the leading developer of the fork of the Python Imaging Library (PIL), known as Pillow.</p><p>We chatted about the following topics:</p><ul><li><p>The origins of Pillow</p></li><li><p>Lessons learned in open source development</p></li><li><p>Surprising use cases for Pillow</p></li><li><p>AI and Pillow</p></li><li><p>and much more!</p></li></ul><h2>Show Links</h2><ul><li><p>Django - <a href="https://www.djangoproject.com/">https://www.djangoproject.com/ </a></p></li><li><p>Wagtail - <a href="https://wagtail.org/">https://wagtail.org/</a></p></li><li><p>Faker - <a href="https://github.com/joke2k/faker">https://github.com/joke2k/faker</a></p></li><li><p>django-allauth - <a href="https://allauth.org/">https://allauth.org/</a></p></li><li><p>django-extensions - <a href="https://github.com/django-extensions/django-extensions">https://github.com/django-extensions/django-extensions</a></p></li><li><p>django-sql-explorer - <a href="https://www.sqlexplorer.io/">https://www.sqlexplorer.io/</a></p></li><li><p>logfire - <a href="https://pydantic.dev/logfire">https://pydantic.dev/logfire</a></p></li><li><p>Pillow demo - <a href="https://github.com/python-pillow/pillow-demo">https://github.com/python-pillow/pillow-demo</a></p></li><li><p><a href="https://www.jeremykun.com/2012/01/01/random-psychedelic-art/">https://www.jeremykun.com/2012/01/01/random-psychedelic-art/</a></p></li><li><p><a href="https://github.com/python-pillow/Pillow/issues/1888">python-pillow/Pillow#1888</a></p></li><li><p><a href="https://github.com/readme/featured/nasa-ingenuity-helicopter">https://github.com/readme/featured/nasa-ingenuity-helicopter</a></p></li><li><p>Alex&#8217;s band - <a href="https://headstraight4life.com/">https://headstraight4life.com/</a> </p></li></ul>]]></content:encoded></item><item><title><![CDATA[42 - Harlequin - The SQL IDE for Your Terminal]]></title><description><![CDATA[Special Guest: Ted Conbeer]]></description><link>https://www.pythonshow.com/p/42-harlequin-the-sql-ide-for-your</link><guid isPermaLink="false">https://www.pythonshow.com/p/42-harlequin-the-sql-ide-for-your</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 29 May 2024 14:14:44 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/145093721/3011ff66c4e54db3024b97726b9b94a4.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>This episode focuses on the Harlequin application, a Python SQL IDE for your terminal written using the amazing <a href="https://textual.textualize.io/">Textual</a> package.</p><p>I was honored to have Ted Conbeer, the creator of Harlequin, on the show to discuss his creation and the other things he does with Python.</p><p>Specifically, we focused on the following topics:</p><ul><li><p>Favorite Python packages</p></li><li><p>Origins of Harlequin</p></li><li><p>Why program for the terminal versus a GUI</p></li><li><p>Lessons learned in creating the tool</p></li><li><p>Asyncio</p></li><li><p>and more!</p></li></ul><h2>Links</h2><ul><li><p><a href="https://harlequin.sh/docs/getting-started">Harlequin</a></p></li><li><p><a href="https://textual.textualize.io/">Textual</a> </p></li><li><p><a href="https://bbc.github.io/cloudfit-public-docs/asyncio/asyncio-part-1.html">BBC article on asyncio</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[41 - Python Packaging and FOSS with Armin Ronacher]]></title><description><![CDATA[In this episode, I chatted with Armin Ronacher about his many amazing Python packages, such as pygments, flask, Jinja, Rye, and Click!]]></description><link>https://www.pythonshow.com/p/41-python-packaging-and-foss-with</link><guid isPermaLink="false">https://www.pythonshow.com/p/41-python-packaging-and-foss-with</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 22 May 2024 13:37:59 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/144802760/44c7c1c6c1bd7a6299756be40b312a26.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, I chatted with Armin Ronacher about his many amazing Python packages, such as pygments, flask, Jinja, Rye, and Click!</p><p>Specifically, we talked about the following:</p><ul><li><p>How Flask came about</p></li><li><p>Favorite Python packages</p></li><li><p>Python packaging</p></li><li><p>and much more!</p></li></ul><h2>Links</h2><ul><li><p><a href="https://sentry.io/welcome/">Sentry</a></p></li><li><p><a href="https://rye-up.com/">Rye</a></p></li><li><p><a href="https://flask.palletsprojects.com/en/3.0.x/">Flask</a></p></li><li><p><a href="https://pygments.org/">pygments</a></p></li><li><p><a href="https://jinja.palletsprojects.com/en/3.1.x/">Jinja</a></p></li><li><p><a href="https://click.palletsprojects.com/en/8.1.x/">Click</a></p></li><li><p><a href="https://astral.sh/blog/uv">uv</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[40 - Open Source Development with Antonio Cuni]]></title><description><![CDATA[In this episode, we discuss working on several different open-source Python packages.]]></description><link>https://www.pythonshow.com/p/40-open-source-development-with-antonio</link><guid isPermaLink="false">https://www.pythonshow.com/p/40-open-source-development-with-antonio</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Wed, 08 May 2024 14:28:35 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/144246792/297f4aa444a8d6cebc9de07fc13174c8.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we discuss working on several different open-source Python packages. Antonio Cuni is our guest, and he chats about his work on PyScript, pdb++, pypy, HPy, and SPy.</p><p>Listen in as we chat about Python, packages, open source, and so much more!</p><h2>Show Links</h2><p>Here are some of the projects we talked about in the show:</p><ul><li><p>The <a href="https://inventframework.org/">Invent Framework</a></p></li><li><p><a href="https://pyscript.net/">PyScript</a></p></li><li><p><a href="https://github.com/pdbpp/pdbpp">pdb++</a> - A drop-in replacement for pdb</p></li><li><p><a href="https://www.pypy.org/">pypy</a> - The fast, compliant, alternative Python implementation</p></li><li><p><a href="https://hpyproject.org/">HPy</a> - A better C API for Python</p></li><li><p><a href="https://github.com/spylang/spy">SPy</a> - Static Python</p></li></ul>]]></content:encoded></item><item><title><![CDATA[39 - Buttondown - A Python SaaS with Justin Duke]]></title><description><![CDATA[In this episode, we invite the founder of Buttondown, a Python-based Software as a Service (SaaS) application for creating and managing newsletters.]]></description><link>https://www.pythonshow.com/p/39-buttondown-a-python-saas-with</link><guid isPermaLink="false">https://www.pythonshow.com/p/39-buttondown-a-python-saas-with</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 02 May 2024 02:07:27 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/144225725/3c8908a0f3f3de94e3ce046a0ce6fff6.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>In this episode, we invite the founder of <a href="https://buttondown.email/">Buttondown</a>, a Python-based Software as a Service (SaaS) application for creating and managing newsletters.</p><p>Mike Driscoll, the host of the show, chats with Justin about the following topics:</p><ul><li><p>Why he created a SaaS with Python</p></li><li><p>Favorite Python packages or modules</p></li><li><p>Python web frameworks</p></li><li><p>Entrepreneurship</p></li><li><p>AI and programming</p></li><li><p>and more!</p></li></ul>]]></content:encoded></item><item><title><![CDATA[38 - Technical Training in Python with Trey Hunner]]></title><description><![CDATA[This week&#8217;s episode is all about Python technical training with special guest Trey Hunner!]]></description><link>https://www.pythonshow.com/p/38-technical-training-in-python-with</link><guid isPermaLink="false">https://www.pythonshow.com/p/38-technical-training-in-python-with</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 25 Apr 2024 16:12:19 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/143997309/54716a1bd58b652ca4972adac256d7b4.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>This week&#8217;s episode is all about Python technical training with special guest Trey Hunner! Trey not only does technical training, but he is also a content creator and author.</p><p>In this episode, we discuss the following topics:</p><ul><li><p>Technical training</p></li><li><p>Great Python modules</p></li><li><p>Life improvements with Python</p></li><li><p>Automated testing with Python</p></li><li><p>Learning strategies</p></li><li><p>and much more!</p></li></ul><p>Tune in today and listen in!</p><h2>Links</h2><ul><li><p><a href="https://www.pythonmorsels.com/newsletter/">Weekly Python Tip Newsletter</a></p></li><li><p><a href="https://www.pythonmorsels.com/">Python Morsels</a></p></li><li><p>Follow Trey on <a href="https://twitter.com/treyhunner">X / Twitter</a></p></li></ul>]]></content:encoded></item><item><title><![CDATA[37 - SQLAlchemy, Databases and Python]]></title><description><![CDATA[Special Guest: Mike Bayer]]></description><link>https://www.pythonshow.com/p/37-sqlalchemy-datasbases-and-python</link><guid isPermaLink="false">https://www.pythonshow.com/p/37-sqlalchemy-datasbases-and-python</guid><dc:creator><![CDATA[Mike Driscoll]]></dc:creator><pubDate>Thu, 11 Apr 2024 02:21:05 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/143470511/83029a9d0fe06ca5df98cc97ea11485f.mp3" length="0" type="audio/mpeg"/><content:encoded><![CDATA[<p>Episode 37 of The Python Show Podcast has special guest Mike Bayer, the creator of <a href="https://www.sqlalchemy.org/">SQLAlchemy</a>, <a href="https://www.makotemplates.org/">Mako</a>, and <a href="https://alembic.sqlalchemy.org/en/latest/">Alembic</a>.</p><p>In this episode, we discuss the following topics:</p><ul><li><p>Python packages</p></li><li><p>The origin of SQLAlchemy and Mako</p></li><li><p>How databases have changed over the years</p></li><li><p>ORMs in Python and other languages</p></li><li><p>and much more!</p></li></ul><h2>Additional Info</h2><p>Want to learn more about our guest, Mike Bayer? Check out the links below:</p><ul><li><p>Bayer&#8217;s <a href="https://techspot.zzzeek.org/">website</a></p></li><li><p>Bayer on <a href="https://github.com/zzzeek">GitHub</a></p></li><li><p>Bayer on <a href="https://www.linkedin.com/in/mike-bayer-6199322/">LinkedIn</a></p></li><li><p>Bayer on <a href="https://twitter.com/zzzeek">Twitter / X</a></p></li><li><p>Mouse vs Python - <a href="https://www.blog.pythonlibrary.org/2016/02/15/pydev-of-the-week-mike-bayer/">PyDev of the Week: Mike Bayer</a></p></li></ul><div class="subscription-widget-wrap-editor" data-attrs="{&quot;url&quot;:&quot;https://www.pythonshow.com/subscribe?&quot;,&quot;text&quot;:&quot;Subscribe&quot;,&quot;language&quot;:&quot;en&quot;}" data-component-name="SubscribeWidgetToDOM"><div class="subscription-widget show-subscribe"><div class="preamble"><p class="cta-caption">The Python Show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.</p></div><form class="subscription-widget-subscribe"><input type="email" class="email-input" name="email" placeholder="Type your email&#8230;" tabindex="-1"><input type="submit" class="button primary" value="Subscribe"><div class="fake-input-wrapper"><div class="fake-input"></div><div class="fake-button"></div></div></form></div></div><p></p>]]></content:encoded></item></channel></rss>