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Thijs Nieuwdorp

Data scientist at Zomnia and co-author of Python Polars: The Definitive Guide.

Top 3 podcasts with Thijs Nieuwdorp

Ranked by the Snipd community
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119 snips
May 6, 2025 • 1h 15min

885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp

Jeroen Janssens, a Senior Developer Relations Engineer at Posit and author, teams up with Thijs Nieuwdorp, a data scientist at Zomnia, to discuss their book on the Polars library. They dive into why data scientists are migrating from Pandas to Polars, highlighting its efficiency in memory usage and processing speed. The duo shares best practices for using Polars, the benefits of collaboration with NVIDIA and Dell, and the transformative impact of the Great Tables package on data presentation. Their insights will leave you eager to enhance your data manipulation skills!
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9 snips
Jun 25, 2025 • 1h 3min

Definitive Python Polars with Jeroen Janssens and Thijs Nieuwdorp

Jeroen Janssens, author and Developer Relations Engineer at Posit, and Thijs Nieuwdorp, Lead Data Scientist at Xomnia, dive into the world of Polars. They discuss the library's evolution and why it outshines Pandas. Their unique journey in crafting 'Python Polars: The Definitive Guide' reveals the challenges of technical writing, blending humor with serious insights. The duo also explores the dynamics of the Dutch tech scene, contrasting it with Silicon Valley, and shares personal anecdotes about language learning and future projects.
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Aug 8, 2025 • 1h 15min

Harnessing the Power of Python Polars

Jeroen Janssens and Thijs Nieuwdorp, authors of 'Python Polars: The Definitive Guide', share their journey with Polars, a powerful DataFrame library for Python. They discuss its advantages over pandas, the significant speed improvements they've encountered, and the transition from R to Python. The duo elaborates on the differences between lazy and eager APIs, offering practical tips for users. Their insights on collaborative writing highlight the importance of community in technical literature and learning, making this a fascinating listen for data enthusiasts.

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