#476: Unified Python packaging with uv

#476: Unified Python packaging with uv

A couple of weeks ago, Charlie Marsh and the folks at Astral made another big splash with a major release of uv called "uv: Unified Python packaging" which has many far reaching features. We had to have Charlie on the show to give us the inside look into this development. Let's get to it.

Avsnitt(517)

#446: Python in Excel

#446: Python in Excel

Why is Python so popular? There is plenty of room for debate on this but one solid reason is it's easy to adopt, easy to use, and caters to people who are not quite developers/data scientists but need to do some computing. Do you know where there largest untapped set of that group hang out? Excel. That's why it's super exciting that Python is now going to be built directly into Excel. Just go into a cell and type =PY and you're off writing full Python 3 code that is backed by a lite Anaconda distribution of Python. And we have Dr. Sarah Kaiser here to give us the rundown on Python in Excel.

26 Jan 202448min

#445: Inside Azure Data Centers with Mark Russinovich

#445: Inside Azure Data Centers with Mark Russinovich

When you run your code in the cloud, how much do you know about where it runs? I mean, the hardware it runs on and the data center it runs in? There are just a couple of hyper-scale cloud providers in the world. This episode is a very unique chance to get a deep look inside one of them: Microsoft Azure. Azure is comprised of over 200 physical data centers, each with 100,000s of servers. A look into how code runs on them is fascinating. Our guide for this journey will be Mark Russinovich. Mark is the CTO of Microsoft Azure and a Technical Fellow, Microsoft's senior-most technical position. He's also a bit of a programming hero of mine. Even if you don't host your code in the cloud, I think you'll enjoy this conversation. Let's dive in.

19 Jan 202442min

#444: The Young Coder's Blueprint to Success

#444: The Young Coder's Blueprint to Success

Are you early in your software dev or data science career? Maybe it hasn't even really started yet and you're still in school. On this episode we have Sydney Runkle who has had a ton of success in the Python space and she hasn't even graduated yet. We sit down to talk about what she's done and might do differently again to achieve that success. It's "The Young Coder's Blueprint to Success" on episode 444 of Talk Python To Me.

2 Jan 202454min

#443: Python Bytes Crossover 2023

#443: Python Bytes Crossover 2023

Special crossover episode of Python Bytes to wrap up 2023. Topics include: **Michael #1** : [Hatch v1.8](https://hatch.pypa.io/latest/blog/2023/12/11/hatch-v180/) **Brian #2:** [svcs : A Flexible Service Locator for Python](https://svcs.hynek.me/en/stable/) **Michael #3:** [Steering Council 2024 Term Election Results](https://discuss.python.org/t/steering-council- election-results-2024-term/40851) **Brian #4:** [Python protocols. When to use them in your projects to abstract and decoupling](https://typethepipe.com/post/python-protocols-when-to-use) ExtrasJoke: **Joke:** [The dream is dead?](https://mastodon.social/@tveskov/111289358585305218)

29 Dec 202335min

#442: Ultra High Speed Message Parsing with msgspec

#442: Ultra High Speed Message Parsing with msgspec

If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framework, mspspec.

14 Dec 20231h

#441: Python = Syntactic Sugar?

#441: Python = Syntactic Sugar?

You've probably heard the term "syntactic sugar", that is, syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use. It turns out Brett Cannon has spent 2 years diving into and writing about Python's sweet language features and how they really work down inside CPython. He joins me on the show today to dive into a few of the more relevant posts he's written about it.

6 Dec 20231h 7min

#440: Talking to Notebooks with Jupyter AI

#440: Talking to Notebooks with Jupyter AI

We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user- friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and models to get just the help you're looking for. And it does way more than just a chat pane in the UI. Listen to find out.

30 Nov 202358min

#439: Pixi, A Fast Package Manager

#439: Pixi, A Fast Package Manager

On this episode we have Wolf Vollprecht and Ruben Arts from the pixi project here to talk about pixi, a high performance package manager for Python and other languages that actually manages Python itself too. They have a lot of interesting ideas on where Python packaging should go and are putting their time and effort behind them. Will pixi become your next package manager? Listen in to find out.

22 Nov 202359min

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