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With the mountains of Python code that it's possible to generate now, how's your code review going? What are the limitations of human review, and where does machine review excel? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
👉 Links from the show:
We discuss a recent piece from Glyph titled, "What Is Code Review For?" We dig into the limitations of human review and where software tools like linters and formatters can help you. We cover the challenges developers and open-source maintainers face with the rise of LLM-generated code and pull requests.
We also share other articles and projects from the Python community, including a collection of recent releases and announcements, creating publication-ready tables from DataFrames, choosing the right Python task queue, mastering context managers, statically checking Python dicts for completeness, an open source inventory management system, and an ORM-based backend for Django tasks.
This episode is sponsored by SerpApi.
Topics:
- 00:00:00 -- Introduction
- 00:02:32 -- DuckDB 1.5.0 Released
- 00:03:11 -- PyPy v7.3.21 Released
- 00:03:30 -- Sunsetting Jazzband
- 00:04:08 -- Thoughts on OpenAI acquiring Astral and uv/ruff/ty
- 00:05:19 -- Great Tables: Publication-Ready Tables From DataFrames
- 00:10:24 -- Comparing PDF Table Extraction Tools
- 00:11:53 -- Sponsor: SerpApi
- 00:12:55 -- Choosing the Right Python Task Queue
- 00:16:57 -- Mastering Python Context Man
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2026/03/27
youtube
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