How do you create automated tests to check your code for degraded performance as data sizes increase? What are the new features in pandas 3.0? 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

This podcast episode covers testing Python code for performance degradation as data scales (Big-O testing), explores new features in pandas 3.0 including dedicated string dtype and Copy-on-Write behavior, and discusses various Python community updates including Python 3.15 alpha releases, Django bugfix releases, new PEPs, profiling tools, UUID versions, and several open-source projects for geocoding and CLI generation.

Episode #282: Testing Python Code for Scalability & What's New in pandas 3.0 – The Real Python Podcast