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News & links about Python programming.
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Python Type Hints: pyastgrep case study

The author shares their experience adding type hints to Python code in their tool pyastgrep. They discuss the challenges and benefits of using static type checking and interactive programming help to catch errors and improve code readability.

https://lukeplant.me.uk/blog/posts/python-type-hints-pyastgrep-case-study/
The Elegance of Modular Data Processing with Python’s Pipeline Approach

Diving into the intricacies of data processing can often feel like navigating an intricate labyrinth. We build these elaborate processes, only to leave them untouched for fear of breaking them. But what if we could improve it? Here's my perspective on crafting a more maintainable, modular data processing workflow in Python which leans into the "pipe and filter" architectural pattern.

https://github.com/dkraczkowski/dkraczkowski.github.io/tree/main/articles/crafting-data-processing-pipeline
genai-stack

This GenAI application stack will get you started building your own GenAI application in no time. The demo applications can serve as inspiration or as a starting point.

https://github.com/docker/genai-stack
Gsplat: CUDA accelerated rasterization of gaussians with Python bindings

https://docs.gsplat.studio/