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Pandas and Polars with Marco Gorelli
Manage episode 379375625 series 2836526
Content provided by Nicola Corti. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicola Corti or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Time for a brand-new topic today here at The Developers’ Bakery: Data Science! We’re really excited to have on stage Marco Gorelli, core contributor of both pandas and polars, two of the most popular data science libraries in the Python ecosystem.
In this episode, we’ll talk about how pandas became so popular in the data science space. Then we’ll move on to talk about polars, a new data science library written in Rust, and how its performances compare to pandas.
Finally, we’ll have the opportunity to touch on a very interesting and unique topic: the Dataframe Consortium, a multi-company effort to standardize the data science API across the ecosystem.
Enjoy the show 👨🍳
Show Notes
- 00.14 Intro
- 01.00 Episode Start
- 01.30 Marco’s Introduction
- 02.14 What is pandas?
- 03.27 Why do I need pandas?
- 05.19 pandas’ competitors
- 07.24 pandas’ popularity
- 10.12 What’s your role with pandas?
- 12.39 How to become a pandas maintainer?
- 13.50 From data scientist to open source maintainer
- 16.02 What is polars?
- 21.22 Can pandas and polars co-exist?
- 24.25 Performance benchmarks
- 26.21 The learning curve
- 29.11 Naming anecdotes
- 30.51 The Dataframe Consortium?
- 40.12 Marco’s role in the consortium
- 43.40 What’s next for polars?
- 46.50 How to start contributing?
- 50.56 Further reading
- 53.33 Where people can find you online?
Resources
- pandas-dev/pandas on GitHub
- pola-rs/polars on GitHub
- Pandas Official Website
- Polars Official Website
- Dataframe API Consortium Official Website
- Mentioned Resources:
- Pandas User Guide
- Polars User Guide
- Dataframe API Standard definition
- What polars does for you - Video from EuroPython
- H2O Benchmark
- Polars - TPCH Benchmark
- @MarcoGorelli on GitHub
- Marco Gorelli on LinkedIn
Show links
99 episodes
Share
Manage episode 379375625 series 2836526
Content provided by Nicola Corti. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicola Corti or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Time for a brand-new topic today here at The Developers’ Bakery: Data Science! We’re really excited to have on stage Marco Gorelli, core contributor of both pandas and polars, two of the most popular data science libraries in the Python ecosystem.
In this episode, we’ll talk about how pandas became so popular in the data science space. Then we’ll move on to talk about polars, a new data science library written in Rust, and how its performances compare to pandas.
Finally, we’ll have the opportunity to touch on a very interesting and unique topic: the Dataframe Consortium, a multi-company effort to standardize the data science API across the ecosystem.
Enjoy the show 👨🍳
Show Notes
- 00.14 Intro
- 01.00 Episode Start
- 01.30 Marco’s Introduction
- 02.14 What is pandas?
- 03.27 Why do I need pandas?
- 05.19 pandas’ competitors
- 07.24 pandas’ popularity
- 10.12 What’s your role with pandas?
- 12.39 How to become a pandas maintainer?
- 13.50 From data scientist to open source maintainer
- 16.02 What is polars?
- 21.22 Can pandas and polars co-exist?
- 24.25 Performance benchmarks
- 26.21 The learning curve
- 29.11 Naming anecdotes
- 30.51 The Dataframe Consortium?
- 40.12 Marco’s role in the consortium
- 43.40 What’s next for polars?
- 46.50 How to start contributing?
- 50.56 Further reading
- 53.33 Where people can find you online?
Resources
- pandas-dev/pandas on GitHub
- pola-rs/polars on GitHub
- Pandas Official Website
- Polars Official Website
- Dataframe API Consortium Official Website
- Mentioned Resources:
- Pandas User Guide
- Polars User Guide
- Dataframe API Standard definition
- What polars does for you - Video from EuroPython
- H2O Benchmark
- Polars - TPCH Benchmark
- @MarcoGorelli on GitHub
- Marco Gorelli on LinkedIn
Show links
99 episodes
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Similar to The Developers' Bakery
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
A podcast about web design and development.
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continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
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continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
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…
continue reading
We help founders make something people want.
…
continue reading
Exploring React Native Together
…
continue reading
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Go offline with the Player FM app!
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