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Python Trend Weekly #99: How to run Python in a production environment? (summary)

Popularity:91 ℃/2025-04-26 11:44:51

This weekly magazine is produced by Python Cat. It carefully screens 250+ information sources at home and abroad, and selects the most worthy of sharing articles, tutorials, open source projects, software tools, podcasts and videos, popular topics and other content for you. Vision: Help all readers improve Python technology and increase their income from careers and side jobs.

Shared 12 articles, 12 open source projects, 2 audio and video, 2 hot topics

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Here is a summary of this issue:

🦄Articles & Tutorials

① How to run Python in a production environment?

② Browser Use Principle Analysis-Why can a small project raise 17 million US dollars?

③ 2025 Django Admin theme summary

④ 15,000 lines of verified cryptography code have been incorporated into Python

⑤ Not in line with the rules__init__usage

⑥ A sneak peek: Python's brand new ASN.1 API

⑦ Use Python regular expressions cleverly

⑧ The next major event in Python

⑨ Use copy to quickly initialize Python projects

⑩ ProcessThreadPoolExecutor: When I/O becomes CPU intensive

⑪ Novice tutorial: LLM agent is actually a picture

⑫ Long text article: In-depth conversations with 50 Google executives, revealing Google's "AI catching up"

🐿️Projects & Resources

①dia: TTS model that generates hyperrealistic dialogue

② ai-agents-for-beginners: 10 lessons for introductory development of AI agents

③ juv: Create/manage/run Jupyter notebook with dependencies

④ fastapi-forge: FastAPI project generation tool with UI

⑤ py-xiaozhi: Python version of Xiaozhi AI

⑥ Enhance Python service observability in all aspects: Taking FastAPI and Grafana Stack as examples

⑦ django-ledger: double accounting system and financial analysis engine

⑧ Cooragent: AI agent collaboration community

⑨ Tutorial-Codebase-Knowledge: Converting the code base into a simple tutorial

⑩ pyspur: Accelerate agent development at 10 times faster

⑪ WatermarkRemover-AI: AI watermark de-marking tool based on Florence-2 and LaMA models

⑫ index: browser agent, independently perform complex tasks

🐢Podcasts & Videos

① Core developers talk about garbage collection

② Podcast conversation with MCP creators

🥂Discussions & Questions

① Python group assignments, what is good to do?

② What technical tool stack should be used to develop mini programs now?

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