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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/

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surya Accurate line-level text detection and recognition (OCR) in any language. https://github.com/VikParuchuri/surya

microsoft / LLMLingua To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. https://github.com/microsoft/LLMLingua

Python Hub @ Whatsapp Join Python Hub Whatsapp Channel https://whatsapp.com/channel/0029VaJrpbhKWEKiXQ2tOT0q

Python-Redlines Docx tracked change redlines for the Python ecosystem. https://github.com/JSv4/Python-Redlines

How We Executed a Critical Supply Chain Attack on PyTorch https://johnstawinski.com/2024/01/11/playing-with-fire-how-we-executed-a-critical-supply-chain-attack-on-pytorch/

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

Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging https://chriswarrick.com/blog/2024/01/15/python-packaging-one-year-later/

friuns2 / Leaked-GPTs Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription. https://github.com/friuns2/Leaked-GPTs

Running Python on air-gapped systems How to reproducibly run python code on a system with no internet access. https://iahmed.me/post/python-air-gapped/

phidata Build Autonomous Assistants using LLM function calling. https://github.com/phidatahq/phidata

The curious case of Pydantic and the 1970s timestamps https://dev.arie.bovenberg.net/blog/pydantic-timestamps/

7 Python Memory Optimization Tricks To Enhance Your Code’s Efficiency https://medium.com/techtofreedom/7-python-memory-optimization-tricks-to-enhance-your-codes-efficiency-5ef65bf415e7?sk=df088bcfb5315fe1fca54d22dc57a1bb

Performance Analysis of Python's Dict() and {} https://madebyme.today/blog/python-dict-vs-curly-brackets/

Memory Optimization Techniques for Python Developers https://www.reddit.com/r/Python/comments/19789aq/memory_optimization_techniques_for_python/

DataMapPlot Creating beautiful plots of data maps. https://github.com/TutteInstitute/datamapplot

apple / ml-ferret https://github.com/apple/ml-ferret

Synchronized in Python In Java, you can make a variable thread safe by just adding the synchronized keyword. Is there anything that can achieve the same results in Python? https://thiagowfx.github.io/2024/01/synchronized-in-python/

Introduction to Polars The article provides an overview of the Polars DataFrame library, highlighting its goal to offer a lightning-fast DataFrame library that optimizes queries, handles large datasets, and maintains a consistent and predictable API. It compares Polars to other solutions and introduces its design choices, making it a compelling option for high-performance data manipulation and analysis in Python. https://pbpython.com/polars-intro.html