
technologyFeb 24, 20231:08:37pending
Using NumPy and Linear Algebra for Faster Python Code
About this episode
Are you still using loops and lists to process your data in Python? Have you heard of a Python library with optimized data structures and built-in operations that can speed up your data science code? This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, returns to share secrets for harnessing linear algebra and NumPy for your projects.
Get every episode summarized
Each time The Real Python Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Real Python Podcast

Performance Engineering: Profiling and Making Apps Fast by Default
The Real Python Podcast
Sep 4, 20261:16:40pending

Exploring Complex Systems & Maintainable Data Science Pipelines
The Real Python Podcast
Aug 28, 202641:04pending

Navigating Silent Failures in AI: Strategies for Effective Oversight
The Real Python Podcast
Aug 21, 20261:09:39pending

Improving NumPy Performance on Free-Threaded Python
The Real Python Podcast
Aug 14, 202646:12pending