For 30 years, Python was overseen by Guido van Rossum since he created and released it around in 1990. When he retired in 2018 he left the creation of the new governing body up to the core developers. After a few stressful months, they concept of the steering council became the way forward.
Full details »
The world of AI is changing fast. And the AI / ML space is a bit out of the ordinary for software developers. Typically in software, we can prove that given a certain situations, the code will always behave the same. We can point to where and why a decision is made.
ML isn't like that. We set it up and then it takes on a life of its own.
Do we talk about running Python in production enough? I can tell you that the Talk Python infrastructure (courses, podcasts, APIs, etc.) get a fair amount of traffic, but they look nothing like what Google, or Instagram, or insert [BIG TECH NAME] here's deployments do. Yet, mostly, we hear about interesting feats of engineering at massive scale that is impressive but often is also outside of the world most Python devs need for their companies and services.
Two frameworks that have taken the Python world by storm are FastAPI and Pydantic. Once you already have your data exchange modeled in Pydantic, you might want to use that code for storing it in the database. And, if you have DB models you might want to somehow use them to power and document the APIs built with FastAPI.
But the popular ORMs, such as SQLAlchemy and others, far predate Pydantic. But could they be put together?
When you think about the power of Python, the clean language or powerful standard library may come to mind. You might certainly point to the external packages too. But what about the relative ease of picking up new libraries or even parts of the standard library? Documentation plays an important role there. And the tools in the Python space for building solid documentation and even publishing articles and books involving live code are huge assets.
Just subscribeOne of the few programming podcasts that I enjoy every week. There's always one package or tip that's helpful to know. Thank you guys!
Best Python podcast!Thank you Michael - listen to each show - your professional editing and style is something a lot of podcasts should emulate.
Fun and informativeThis podcast has been my starting point and is my frequent return point in my Python adventures. It’s informative and fun... what more do you need?
Talk Python to Me is a weekly podcast hosted by
The show covers a wide array of Python topics as well as
many related topics.
The format is a casual 1-hour conversation with industry experts.
Have feedback for the show? Send it to email@example.com. We'd love to hear from you.
We are always on the look out for exciting topics to bring
to you on Talk Python To Me. We could use your help!
Do you have a great idea for a show? Do know a dynamic Python personality who we should be speaking to? Send us an email!