Another month, another set of invaluable conversations on the SuperDataScience Podcast I host. ICYMI, today's episode highlights the most fascinating moments from September.
The specific conversation highlights included in today's episode are:
Posit PBC engineering manager Dr. Julia Silge explains why Positron, the next-generation IDE she's leading development of, is better-suited to data scientists than any existing IDE.
PyTorch expert Luka Anicin provides his top tips for training more accurate and compute-efficient ML models.
Exceptional open-source developer Marco Gorelli on why Polars is anywhere from 10 to 100x faster than Pandas, the incumbent Python library for working with DataFrames.
Microsoft's Marck Vaisman on what companies hiring data scientists should be looking for... as opposed to what the typically (and mistakenly!) look for today.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.