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This is pure witchcraft! A single line of code makes my Pandas code 5x faster! I don't have to migrate to a different library or change anything else. The magic happens by patching Pandas with FireDucks, a multi-threaded, compiler-accelerated library with a fully compatible pandas API. The library makes... show more

Santiago

452,371 subscribers

51,995 次观看 • 1 年前 •via X (Twitter)

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Santiago 的头像

Santiago1 年前

Here is a link to the code I show in the video: Here is FireDucks' GitHub Repository: This notebook compares FireDucks with Polars and Pandas: Finally, a few benchmarks:

Santiago 的头像

Santiago1 年前

If you prefer to watch the video on YouTube, here is the link:

Matt Figdore 的头像

Matt Figdore2 年前

This is the biggest productivity cheat code right now. Kiss reading documents goodbye. You can get an instant summary of any document with this tool.

Subhajit Bhar 的头像

Subhajit Bhar1 年前

One quick question: Is this speedup due only to multithreading? Also, have you tested Polars? What’s your opinion on it?

Raunak Rangari 的头像

Raunak Rangari1 年前

Your vey helpfull for so many peopels🔥

Albert 的头像

Albert1 年前

Why does pandas try to reinvent the wheel when SQL and @duckdb already do the job?

Tomislav 的头像

Tomislav1 年前

You forgot to mention its for Linux. Ouch, killed your post.

🧪Juice 🧃 的头像

🧪Juice 🧃1 年前

Hey there, you should try using pandas on on a gpu. CuDF is even crazier.

Anda 的头像

Anda1 年前

"Friendly reminder that even pandas need optimized bamboo-munching techniques to boost their performance!" 🐼🎋

Muhammad Waqar Afzal 的头像

Muhammad Waqar Afzal1 年前

Does it work on mac and windows?

Rodrigo 的头像

Rodrigo1 年前

What prevents pandas to adopt the optimizations?

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