Python Trending Weekly #114: Python performance myths and fairy tales

Aug 09, 2025

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link : https://www.patreon.com/posts/136063032

Here are the title summaries for this issue:

🦄Articles & Tutorials

① How JIT builds of CPython actually work

② Why I'm interested in Litestar

③ You might not need a Python class

④ Rust, Python, and TypeScript: the new trifecta

⑤ Python performance myths and fairy tales

⑥ Ways to have an atomic counter in Django

⑦ Don't call dunder methods

⑧ Render your Jupyter notebooks in OpenGist

⑨ Updating Python

⑩ Conda Ecosystem Explained

⑪ What's the deal with setuptools & setup.py

⑫ Everything I know about good system design

🐿️Projects & Resources

① zotero-arxiv-daily: Recommend new arxiv papers of your interest daily according to your Zotero library

② Office-PowerPoint-MCP-Server: A MCP (Model Context Protocol) server for PowerPoint manipulation using python-pptx

③ pipecat: Open Source framework for voice and multimodal conversational AI

④ sniffly: Claude Code Analytics Dashboard

⑤ FastVideo: A unified inference and post-training framework for accelerated video generation

⑥ judgeval: The open source post-building layer for agents

⑦ viser: Web-based 3D visualization + Python

⑧ stock: A powerful stock analysis tool

⑨ langmem: Long-term memory for AI agents

⑩ Auto-Gmail-Creator: Bulk Auto Gmail Creator

⑪ nvda: Free and open source Screen Reader

⑫ sshsync: a tool for synchronizing commands on remote servers

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