#388: Python 3.11 is here and it's fast

If there has ever been a time in history that journalism is needed to shine a light on what's happening in the world, it's now. Would it surprise you to hear that Python and machine learning are playing an increasingly important role in discovering and bringing us the news? On this episode, you'll meet Carolyn Stansky, a journalist and developer who's been researching this intersection.

5 Sep 202055min

Python is quick and easy to learn. And yet, there is a massive gap between knowing the common aspects of the language (loops, variables, functions, and so on) and how to write a well-factored application using modern tools and libraries. That's where learning Python is a never-ending journey.

29 Aug 20201h 1min

If there is one message I've been pushing across all of the Talk Python episodes, it's that programming is a superpower. Rather than all of us abandoning what we're interested in and becoming CS majors, we can take our passion or expertise and 10x it with a little programming skill.

21 Aug 20201h 5min

We recently covered 10 tips that every Flask developer should know. But we left out a pretty big group in the Python web space: Django developers! And this one is for you. I invited Bob Belderbos, who's been running his SaaS business on Python and Django for several years now, to share his tips and tricks.

10 Aug 20201h 11min

We're back with another GeekOut episode. Richard Campbell, a developer and podcaster who also dives deep into science and tech topics, is back for our second GeekOut episode. Last time we geeked out about the real science and progress around a moon base. This time it's why is there life on Earth, where could it be or have been in the solar system, and beyond.

6 Aug 20201h 14min

Do you obsess about writing your code just the right way before you get started? Maybe you have some ugly code on your hands and you need to make it better. Either way, refactoring could be your ticket to happier days! On this episode, we'll talk through a powerful example of iteratively refactoring some code until we eventually turn our ugly duckling into a Pythonic beauty.

1 Aug 202055min

Do you write data science code? Do you struggle loading large amounts of data or wonder what parts of your code use the maximum amount of memory? Maybe you just want to require smaller compute resources (servers, RAM, and so on).

24 Jul 202058min

Everyone in the Python space is familiar with Notebooks these days. One of the original notebook environments was SageMath. Created by William Stein, and collaborators, it began as an open-source, Python-based, computational environment focused on mathematicians.

18 Jul 202055min