#472: State of Flask and Pallets in 2024
Talk Python To Me26 Heinä 2024

#472: State of Flask and Pallets in 2024

This episode turned out to be a seminal one for me. After speaking with David about the Flask ecosystem, it finally convinced me to get moving and convert [talkpython.fm](https://talkpython.fm) to Quart. You can read all about the journey in a detailed write up I did at [Talk Python rewritten in Quart (async Flask)](https://talkpython.fm/blog/posts/talk-python-rewritten-in-quart-async- flask/). With this episode, I hope you’re ready for an inside look at the latest happenings in Flask, one of Python’s most popular web frameworks. David Lord, Flask’s lead maintainer, takes us behind the scenes of recent performance boosts (like a 50% speedup in Werkzeug), the future of async support via Quart, and how the broader Pallets ecosystem is evolving under one umbrella. You’ll also hear about Pallets Eco, which aims to streamline and revive critical Flask extensions, and learn how you can contribute to this massive open-source effort. If you use Flask, want to keep your Python apps on the cutting edge, or just love data-driven insights from top maintainers, this episode is for you. **Flask** and its sister libraries are faster, leaner, and more maintainable than ever. The **pallets-eco** initiative aims to keep the Flask extension ecosystem thriving. David and the Pallets team welcome new contributors, especially folks interested in type annotations, extension maintenance, or community support. Check out the Pallets Discord to get involved!

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#28: Making Python Fast: Profiling Python Code

#28: Making Python Fast: Profiling Python Code

Is that Python code of yours running a little slow? Are you thinking of rewriting the algorithm or maybe even in another language? Well, before you do, you'll want to listen to what Davis Silverman has to say about speeding up Python code using Profiling.

6 Loka 201550min

#27: Four Years of Python for High Schoolers

#27: Four Years of Python for High Schoolers

Often people complain about the lack of developer skills in western countries like the United States and that problem is amplified when you consider typically under represented groups such as women and minorities. This week you'll meet Laura Blankenship who is doing more than her share to widen the appeal of programming in general and Python in particular.

29 Syys 201544min

#26: Deploying Python Web Applications (Updated)

#26: Deploying Python Web Applications (Updated)

So, you've build an amazing Python web app and now what? You want to put it online of course but that's a whole different skill set. You're in luck, because Matthew Makai is here to tell us all about deploy Python applications on this episode of Talk Python To Me.

22 Syys 20151h 13min

#25: Effective Python

#25: Effective Python

What if you could bottle up all the wisdom and hard-fought experience of many expert Python developers and power up your own skills? That's what Brett Slatkin did and he put it in his book Effective Python.

15 Syys 201554min

#24: Fluent Python

#24: Fluent Python

Are you fluent in Python or do you speak the language with an accent? Maybe you have a hint of C++ in your for-in loop or even a little C# coming through in your function names.

8 Syys 20151h 8min

#23: 3D Printing with Python at Authentise

#23: 3D Printing with Python at Authentise

You've heard of the full-stack developer and full-stack Python, but this week Authentise is taking it to a new level with Python all the way from the cloud to the client to the printer.

1 Syys 20150s

#22: CPython Internals and Learning Python with pythontutor.com

#22: CPython Internals and Learning Python with pythontutor.com

It's time to look deep within the machine and understand what *really* happens when your Python code executes. We're code-walking through the CPython code and visualizing it at pythontutor.com.

25 Elo 20151h 2min

#21: PyPy - The JIT Compiled Python Implementation

#21: PyPy - The JIT Compiled Python Implementation

Is your Python code running a little slow? Did you know that the PyPy runtime could make it run up to 10x faster? Seriously! Maciej Fijalkowski is here to tell us all about it. This episode is all about the alternative, JIT compiled, garbage collection Python implementation PyPy.

18 Elo 201553min