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815: Polars: Faster DataFrame Ops, with Marco Gorelli
Manage episode 437882429 series 2532807
Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.
This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
• When to use Polars vs Pandas [08:26]
• How Polars optimizes string operations and data processing [20:08]
• Where Narwhals outstrips Polars and Pandas [48:37]
• The benefits of using Altair [55:21]
• Addressing the lack of women in data science [1:09:58]
• How to win a forecasting competition [1:16:58]
Additional materials: www.superdatascience.com/815
961 قسمت
Manage episode 437882429 series 2532807
Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.
This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
• When to use Polars vs Pandas [08:26]
• How Polars optimizes string operations and data processing [20:08]
• Where Narwhals outstrips Polars and Pandas [48:37]
• The benefits of using Altair [55:21]
• Addressing the lack of women in data science [1:09:58]
• How to win a forecasting competition [1:16:58]
Additional materials: www.superdatascience.com/815
961 قسمت
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1 881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber 1:17:06

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1 871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake 1:13:11

1 869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole 1:19:42


1 867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov 1:33:12




1 863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter 1:06:06


1 861: From Pro Athlete to Data Engineer: Colleen Fotsch’s Inspiring Journey 2:00:42




1 857: How to Ensure AI Agents Are Accurate and Reliable, with Brooke Hopkins 1:22:43


1 855: Exponential Views on AI and Humanity’s Greatest Challenges, with Azeem Azhar 1:28:12


1 853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves 1:29:00


1 851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart 1:11:51

1 849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence 1:18:29


1 847: AI Engineering 101, with Ed Donner 1:12:14


1 845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein 1:36:56


1 843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi 1:27:50



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