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Python Trends Weekly #64: Are Python's function calls still slow? (Abstract)

Popularity:879 ℃/2024-08-10 16:01:19

This weekly newsletter is produced by PythonCat, which carefully selects the most worthwhile articles, tutorials, open source projects, software tools, podcasts and videos, hot topics, and other content from 250+ domestic and international sources. Vision: To help all readers refine their Python skills and grow their professional and side income.

Shared 11 articles, 13 open source projects, 1 audio/video, 2000 words.

Below is a summary of this issue:

🦄 Articles & Tutorials

① Are function calls in CPython still slow?

② Log Context Propagation in Python ASGI Applications

③ PyCon US 2024 recap and video are up!

④ In-depth tutorial on Python API integration

⑤ Python Monthly Hot Topics Collection (Japanese)

⑥ Quickly find the right date-time format code

⑦ django-http-debug, a new Django application

⑧ PyTorch Lightning: A Comprehensive Hands-On Tutorial

⑨ Python extensions should be lazy

⑩ Don't DRY your code too soon!

⑪Programming articles that have triggered a lot of thinking in me

🐿️ projects&resources

① zato: ESB, SOA, REST, API and Cloud Integration in Python

② segment-anything-2: Meta SAM 2 model inference code

③ alive-progress: cool animated progress bar in terminal

④ Ingram: Webcam Vulnerability Scanning Tool

⑤ Deep-Live-Cam: real-time face swap and one-click video deepfake

⑥ annotated_deep_learning_paper_implementations: 60 deep learning paper implementations/tutorials with annotations

⑦ table-transformer: extracting tables from unstructured documents (PDFs and images)

⑧ wsgidav: a generic and extensible WSGI-based WebDAV server.

⑨ silero-vad: a pre-trained enterprise-grade speech activity detector

⑩ textual-serve: turn textual applications into web applications locally

⑪ geopandas: Python tool for processing geographic data

⑫ IMS-Toucan: Multi-language and controlled text-to-speech toolkit

⑬ beancount: double-entry bookkeeping with text files

🐢 Podcasts & Videos

Ep 48. Interview with Gao Tian: I Became a Python Core Developer to Become a B-station Uploader


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