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News & links about Python programming.
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4 Tips for Building a Production-Ready FastAPI Backend

This video talks about 4 things that you typically won’t find in most FastAPI tutorials online. These tips are really useful, especially if you want to create a backend that’s used in a production setting.

https://www.youtube.com/watch?v=XlnmN4BfCxw
Type information for faster Python C extensions

PyPy is an alternative implementation of the Python language. PyPy’s C API compatibility layer has some performance issues. Carl Friedrich Bolz-Tereick and I are working on a way to make PyPy’s C API interactions much faster. It’s looking very promising. Here’s a sketch of how it works.

https://bernsteinbear.com/blog/typed-c-extensions/
How well-structured should your data code be?

The post explores the tradeoff between speed and system reliability, particularly in the context of data science. It delves into the challenges faced by those who prototype ML models, discussing the pressure to move quickly and the decision-making process between handing off work or taking on the role of a Machine Learning Engineer in production.

https://blog.dagworks.io/p/how-well-structured-should-your-data