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

Avsnitt(517)

#44: Project Jupyter and IPython

#44: Project Jupyter and IPython

One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.

2 Feb 20161h

#43: Monitoring high performance Python apps at Opbeat

#43: Monitoring high performance Python apps at Opbeat

What does it take to track detailed analytics and errors from literally thousands of web applications all at once? Could you build such a system entirely in Python?

26 Jan 201639min

#42: Python in Startups and Investing

#42: Python in Startups and Investing

Have you ever dreamt of creating a startup that will change the world? You and your two best friends leave the dull world of writing internal business apps and go heads-down for three months to launch something amazing?

19 Jan 201654min

#41: Getting your first dev job as a Python developer (part 2)

#41: Getting your first dev job as a Python developer (part 2)

How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big job. Maybe they want to know what they should be doing right now.

12 Jan 201652min

#40: Top 10 Data Science Stories from 2015

#40: Top 10 Data Science Stories from 2015

It's the end of the year and many of you are probably kicking and taking it easy without a TPS report to be seen. So we'll keep this fun and lighthearted this week. We've teamed up with the Partially Derivative podcast and we're running down the top 10 data science stories of 2015 in this joint episode.

29 Dec 201559min

#39: Getting your first dev job as a Python developer (part 1)

#39: Getting your first dev job as a Python developer (part 1)

How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big job. Maybe they want to know what they should be doing right now.

22 Dec 201550min

#38: Continuous Integration and Delivery at Codeship

#38: Continuous Integration and Delivery at Codeship

Have you heard about the works on my machine certification program? It's a really awesome certification for developers. It was created by Joseph Cooney and enhanced by Jeff Atwood (of stackoverflow fame). Here's how it works:

15 Dec 20151h 2min

#37: Python Cybersecurity and Penetration Testing

#37: Python Cybersecurity and Penetration Testing

How secure is your application? Do you know the main vulnerabilities that most apps suffer from? How would you even start answer these questions? On this episode of Talk Python To Me, Justin Seitz is here to tell us all about it.

8 Dec 20151h 4min

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