What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)

What data transformation library should I use...

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I wrote a chess engine and still can't play chess: AI coding and skill decay (Ep. 317)

I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ...  عرض المزيد

"Rust Is Amazing, as Long as Nobody Looks at It" - Fact-Checking DHH (Ep. 316)

DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ...  عرض المزيد

‏حلقات موصى بها

675: Pandas for Data Analysis and Visualization
Super Data Science: ML & AI Podcast with Jon Krohn

Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas. This episode is brought to you by Posit, the open-source data science ...  عرض المزيد

#474: Python Performance for Data Science
Talk Python To Me

See the full show notes for this episode on the website at talkpython.fm/474 

Massively Parallel Data Processing In Python Without The Effort Using Bodo
Data Engineering Podcast

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Python has beome the de facto language for working with data. That has brought with it a number of challenges having to do with the speed and scalability of working with large volumes of information.There have been many ...

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