Skip to content
TrackPodcasts
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 episodes

Free 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.

Using NumPy and Linear Algebra for Faster Python Code

The Real Python Podcast

0:00
1:08:37

More episodes

More from The Real Python Podcast

View all episodes →