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Reuven Lerner: Marimo - A new notebook | PyData Tel Aviv 2025
Uri & Menachem: Using Row Groups for fast filtering of large parquet files (HE)|PyData Tel Aviv 2024
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PyData Tel Aviv Meetup: Lightning Talks 1 - Part 2
PyData Tel Aviv Meetup: Working full-time on Open Source Software - Matti Pincus
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The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering | Wes McKinney
Speed up Cleaning Data with Pandas and your GPU! (CuDF Episode 5)
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Last Updated: September 15, 2026
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Summary
Jupyter notebooks have long been Predicting client financial behaviour is usually done by financial data sources - such as client financial history, bank and credit ... In this episode, we dive deep into data manipulation and cleaning using cuDF, a CUDA-accelerated version
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