The Python Show

<p>In this episode, we have special guest Paul Everitt on the show to talk about the new <a target="_blank" 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 “Python oldster”.</p><p>We chat about Python - the documentary, Paul’s start in programming as well as with Python, and much, much more!</p><p>Links</p><p>* <a target="_blank" href="https://www.youtube.com/watch?v=GfH4QL4VqJ0">Python: The Documentary</a></p><p>* Paul’s <a target="_blank" href="https://github.com/pauleveritt">GitHub page</a></p><p>* Paul’s <a target="_blank" href="https://x.com/paulweveritt">X account</a></p><p>* <a target="_blank" href="https://thenewstack.io/how-python-grew-from-a-language-to-a-community/"><strong>How Python Grew From a Language to a Community</strong></a><strong> - The New Stack</strong></p><p></p> <br/><br/>Get full access to The Python Show at <a href="https://www.pythonshow.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_4">www.pythonshow.com/subscribe</a>

<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’s history with Python, his work on <a target="_blank" href="https://glumpy.github.io/">Glumpy </a>and <a target="_blank" href="https://github.com/vispy/vispy">VisPy</a>, and much, much more!</p><p>Links</p><p>* <a target="_blank" href="https://github.com/rougier">Nicolas’s GitHub page</a> </p><p>* <a target="_blank" href="https://github.com/rougier/scientific-visualization-book"><strong>Scientific Visualization: Python & Matplotlib</strong></a>, an open access book on scientific visualization.</p><p>* <a target="_blank" href="https://www.labri.fr/perso/nrougier/from-python-to-numpy/"><strong>From Python to Numpy</strong></a>, an open access book on numerical computing</p><p>* <a target="_blank" href="https://github.com/rougier/braincraft">Braincraft</a></p><p>* <a target="_blank" href="https://github.com/rougier/numpy-100"><strong>100 Numpy Exercises</strong></a> is a collection of 100 numpy exercises, from easy to hard.</p> <br/><br/>Get full access to The Python Show at <a href="https://www.pythonshow.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_4">www.pythonshow.com/subscribe</a>

<p>In this episode, Mike Driscoll talks about his latest book, <a target="_blank" 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><p>* <a target="_blank" href="https://www.amazon.com/dp/B0FGDNC3H6">Amazon</a> (Kindle and Paperback)</p><p>* <a target="_blank" href="https://leanpub.com/textual/">Leanpub</a> (eBook)</p><p>* <a target="_blank" href="https://driscollis.gumroad.com/l/textual">Gumroad</a> (eBook)</p> <br/><br/>Get full access to The Python Show at <a href="https://www.pythonshow.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_4">www.pythonshow.com/subscribe</a>

<p>In today’s podcast, we welcome Daniel Voigt Godoy to the show. Daniel is the author of <a target="_blank" href="https://pytorchstepbystep.com/">Deep Learning with PyTorch Step-by-Step</a> among other books.</p><p>We chatted about the following topics:</p><p>* Favorite Python packages</p><p>* PyTorch</p><p>* Book writing</p><p>* and so much more!</p><p>Be sure to check out the links section to learn more about Daniel!</p><p>Links</p><p>* The binary cross-entropy post: <a target="_blank" 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><p>* The PyTorch post: <a target="_blank" 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><p>* Daniel’s new LLM book: <a target="_blank" href="https://leanpub.com/finetuning">https://leanpub.com/finetuning</a></p><p>* Daniel’s books on <a target="_blank" href="https://www.amazon.com/stores/Daniel-Voigt-Godoy/author/B09SQ2P4JY">Amazon</a></p> <br/><br/>Get full access to The Python Show at <a href="https://www.pythonshow.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_4">www.pythonshow.com/subscribe</a>

<p>In this episode, we have special guest, Jason McDonald, the author of <a target="_blank" href="https://nostarch.com/dead-simple-python">Dead Simple Python</a> from No Starch Press.</p><p>We chatted about the following topics:</p><p>* Python packages</p><p>* Packaging in general</p><p>* Python concurrency vs parallelism</p><p>* Book writing</p><p>* What’s coming in the 2nd edition of his Python book</p><p>* and much more!</p><p>Links</p><p>Check out the following links from the show:</p><p>* Get <a target="_blank" href="https://nostarch.com/dead-simple-python">Dead Simple Python</a> from No Starch</p><p>* Check out Jason’s <a target="_blank" href="https://codemouse92.com/">website</a></p><p>* You can find Jason’s <a target="_blank" href="https://ajcharlesonpublishing.com/books">fiction books here</a></p><p><p>The Python Show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.</p></p><p></p> <br/><br/>Get full access to The Python Show at <a href="https://www.pythonshow.com/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_4">www.pythonshow.com/subscribe</a>