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815: Polars: Faster DataFrame Ops, with Marco Gorelli
Manage episode 437894907 series 1278026
Contenu fourni par Jon Krohn. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Jon Krohn ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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
1127 episodes
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Manage episode 437894907 series 1278026
Contenu fourni par Jon Krohn. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Jon Krohn ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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
1127 episodes
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Similaire à Super Data Science: ML & AI Podcast with Jon Krohn
A podcast about web design and development.
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continue reading
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continue reading
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continue reading
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Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
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Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
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continue reading
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continue reading
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