31 episodes

Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

Talk Python To Me Michael Kennedy (@mkennedy)

    • Technology
    • 4.9 • 473 Ratings

Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

    #315 Awesome FastAPI extensions and add ons

    #315 Awesome FastAPI extensions and add ons

    Have you heard that FastAPI is awesome? We have Michael Herman back on the show to help us make it even more awesome with his FastAPI awesome list. He's categorized many extensions and other libraries working with FastAPI to help you be even more efficient with this framework.

    #314 Ask us about modern Python projects and tools

    #314 Ask us about modern Python projects and tools

    Here's an episode that I did not see coming! Sebastian Witowski and I put together a live stream ask me anything (AMA) as a follow up to some of the ideas around his recent course, Modern Python Projects. We dove deep in comparisons of Poetry vs. pip vs pyenv and answered questions like do you need to use Docker? When should you? and so on.

    #313 Automate your data exchange with PyDantic

    #313 Automate your data exchange with PyDantic

    Data validation and conversion is one of the truly tricky part of getting external data into your app. This might come from a REST API, a file on disk, or somewhere else. This includes checking for required fields, correct data types, converting from compatible types (for example, strings to numbers), and much more. Pydantic is one of the best ways to do this in modern Python using dataclass-like constructs and type annotations to make it all seamless and automatic.

    #312 Python Apps that Scale to Billions of Users

    #312 Python Apps that Scale to Billions of Users

    How do you build Python applications that can handling literally billions of requests. I has certainly been done to great success with places like YouTube (handling 1M requests / sec) and Instagram as well as internal pricing APIs at places like PayPal and other banks.

    #311 Get inside the .git folder

    #311 Get inside the .git folder

    These days Git is synonymous with source control itself. Rare are the current debates of whether to use git vs SVN vs some fossil like SourceSafe vs you name it. But do you know how Git works? What about it's internals? I'm sure you've seen a .git folder in your project's root. But to most folks, it's a black box.

    #310 AMA (Ask Me Anything) with Michael

    #310 AMA (Ask Me Anything) with Michael

    The tables have turned and this time I'm the guest and you all are the hosts. I get a ton of questions over email and twitter asking me about my thoughts on various trends, tools, and behind the scenes questions around Talk Python. So I've enlisted two listeners who are up for hosting a conversation and taking questions from you all.

Customer Reviews

4.9 out of 5
473 Ratings

473 Ratings

Clarisse Gomez ,

Awesome Podcast!!!

Michael, host of the Talk Python To M‪e‬ podcast, highlights all aspects of technology, software development and more in this can’t miss podcast! The host and expert guests offer insightful advice and information that is helpful to anyone that listens!

The Ignorant 1 ,

Great podcast

>>>print(‘I like it a lot’)

“””If you think you know Python, listen to this podcast. This language is ever evolving and there’s always a nugget or more for any listener. I really appreciate the show notes! There’s so much content in a single episode, and having the chronological notes and links are an added bonus.”””

>>>quit()

Imaurer ,

Interesting conversation across a range of Python topics

Michael does a great job interviewing folks from the Python community. He keeps the conversation at a good level of detail to still be useful without getting too far into the weeds. Not an easy task in an audio only format.

He also brings to the conversations a broad level of expertise but is still able to ask questions that are relevant to people first encountering a topic.

Ian (@imaurer on Twitter/GitHub, TP Guest #154)

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