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.

The RPython blog offers insights, tutorials, and updates on RPython, a subset of the Python programming language designed for writing interpreters and virtual machines. Developers can learn about RPython features, optimization techniques, and applications in building programming language implementations. Additionally, the blog covers topics such as JIT compilation, garbage collection, and static analysis using RPython, providing resources for compiler and language developers.

Real Python

A Real Python podcast episode covering the limitations of both human and automated code review, including how linters and formatters help and the challenges posed by LLM-generated code. Also covers a curated batch of Python community news: DuckDB 1.5.0 and PyPy releases, OpenAI acquiring Astral (uv/ruff/ty), creating publication-ready tables from DataFrames, choosing between Python task queues (Celery vs RQ), mastering context managers, statically checking Python dicts for completeness, and several open-source projects including InvenTree and django-tasks-db.

Episode #289: Limitations in Human and Automated Code Review – The Real Python Podcast