PythonHub

Create a Programming Language and Learn Advanced Python https://www.youtube.com/watch?v=1WpKsY9LBlY

Python can make 3M+ WebSocket keys per second This article is about optimizing a tiny bit of Python code by replacing it with its C++ counterpart. https://github.com/szabolcsdombi/optimization-demo

Python Hub Weekly Digest for 2023-07-16 https://pythonhub.dev/digest/2023-07-16/

Demystifying Text Data with the Unstructured Python Library https://saeedesmaili.com/demystifying-text-data-with-the-unstructured-python-library/

You Don’t Need __all__ Every now and then, I get a PR from a well-meaning contributor trying to add all to a Python module for whatever reason. I always decline these, they are unnecessary (at least for the way I structure my code) and I thought I’d write a short post explaining why. https://jamesturk.net/posts/you-dont-need-all/

Back end of Meta Threads is built with Python 3.10 with some interesting tweaks https://twitter.com/llanga/status/1676846870520291329

UltraChat Large-scale, Informative, and Diverse Multi-round Dialogue Data, and Models. https://github.com/thunlp/UltraChat

aider https://github.com/paul-gauthier/aider

Generating Code without Generating Technical Debt? The article also provides some tips on how to make the code generated by ChatGPT more maintainable, such as using short functions, splitting the code into smaller files, and using comments to explain the code. https://sourcery.ai/blog/chatgpt-maintainable-code/

If PEP 703 is accepted, Meta can commit three engineer-years to nogil CPython https://discuss.python.org/t/a-fast-free-threading-python/27903/99

GPT Engineer: Things Are Starting to Get Weird GPT Engineer is another nail in the coffin of software developers. In this video, I'll show you how it works. The tool is crazy powerful. Just specify what you want it to build, and then, well, it just builds it. I’ll show you how it works in today's video and share my thoughts on where this technology might lead us. https://www.youtube.com/watch?v=FPZONhA0C60

Using the AWS Parameters and Secrets Lambda Extension with Python: A Practical Example Using the AWS Parameters and Secrets Lambda Extension can speed up your Lambda code and save you money. In this practical example we will go through a full example, complete with a couple of gotchas I found that could catch you out. https://community.aws/posts/parameters-and-secrets-lambda-extension-with-python

CLI tools hidden in the Python standard library A comprehensive collection of practical tips and examples showcasing various command-line interface (CLI) tools available in the Python Standard Library, providing valuable guidance for developers looking to leverage these built-in functionalities for efficient scripting and automation. https://til.simonwillison.net/python/stdlib-cli-tools

Counting occurrences in Python with collections.Counter https://www.pythonmorsels.com/using-counter/

vlite A blazing fast, lightweight, and simple vector database written in less than 200 lines of code. https://github.com/sdan/vlite

Graphical Python Profiler https://functiontrace.com

Python in 2023 still sucks at importing modules from another folder https://stackoverflow.com/questions/714063/importing-modules-from-parent-folder/50194143#50194143

The easiest way to speed up Python with Rust If you want to speed up some existing Python code, writing a compiled extension in Rust can be ... https://pythonspeed.com/articles/easiest-rust-python/

Building a Toy Programming Language in Python - Part 1 The first installment of this series shows how to implement the lexer, parser and interpreter for a very simple version of the language that did only one thing: print numbers. https://blog.miguelgrinberg.com/post/building-a-toy-programming-language-in-python

Organizing Database Queries: Managers vs. QuerySets In this article Mariusz Felisiak introduces concepts of Django's Managers and QuerySet to organize common database queries. https://fly.io/django-beats/organizing-database-queries-managers-vs-querysets/