• Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
  • Menu

Jon Krohn

  • Home
  • Fresh Content
  • Courses
  • Resources
  • Podcast
  • Talks
  • Publications
  • Sponsorship
  • Testimonials
  • Contact
Jon Krohn

Polars: Past, Present and Future, with Polars Creator Ritchie Vink

Added on October 15, 2024 by Jon Krohn.

Because of it's stunningly fast speed, Polars is an extremely popular open-source library for DataFrame operations in Python. Kinda unreal to have Ritchie Vink, Polars' creator, as today's guest!

Ritchie:

• Is CEO and Co-Founder of Polars, Inc., a startup that has raised $4m in seed funding to support his Polars open-source project.

• Previously worked as an ML Engineer, Data Scientist and Data Engineer at companies like adidas and KLM Royal Dutch Airlines.

• Holds a Master’s in Structural Engineering and worked as a civil engineer prior to catching the data-science bug.

Today’s episode will appeal most to hands-on practitioners like data scientists and ML engineers. In it, Ritchie details:

• How Polars regularly achieves 5-20x (sometimes 100x!) speed improvements over Pandas for most DataFrame operations.

• The Eager and Lazy execution APIs Polars offers and when you should use one or the other.

• Ritchie's vision for scaling Polars to handle massive distributed datasets.

• How we can continue to make data-processing efficiency gains even as Moore's Law slows down.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

In Data Science, Podcast, SuperDataScience, YouTube Tags superdatascience, python, polars, pandas, dataframes, opensource
← Newer: Are “Citizen Data Scientists” A Myth? With Keith McCormick Older: In Case You Missed It in September 2024 →
Back to Top