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Ways of pandas making faster

 FireDucks makes Pandas 125x Faster (changing one line of code) ๐Ÿง  Pandas has some major limitations: - Pandas only uses a single CPU core. - It often creates memory-heavy DataFrames. - Its eager (immediate) execution prevents global optimization of operation sequences. FireDucks is a highly optimized, drop-in replacement for Pandas with the same API.  There are three ways to use it: 1) Load the extension:  ↳ %๐ฅ๐จ๐š๐_๐ž๐ฑ๐ญ ๐—ณ๐—ถ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ธ๐˜€.๐ฉ๐š๐ง๐๐š๐ฌ; ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฎ๐˜€ ๐—ฝ๐—ฑ 2) Import FireDucks instead of Pandas:  ↳ ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ ๐—ณ๐—ถ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ธ๐˜€.๐ฉ๐š๐ง๐๐š๐ฌ ๐š๐ฌ ๐ฉ๐ 3) If you have a Python script, execute is as follows:  ↳ ๐—ฝ๐˜†๐˜๐—ต๐—ผ๐—ป3 -๐—บ ๐—ณ๐—ถ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ธ๐˜€.๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฐ๐—ผ๐—ฑ๐—ฒ.๐—ฝ๐˜† Done! ✔️ A performance comparison of FireDucks vs. DuckDB, Polars, and Pandas is shown in the video below. Official benchmarks indicate: ↳ Modin: ~1.0x faster than Pandas ↳ Polars: ~57x faster than Pandas ↳ FireDucks: ~125x faster than Pandas Credit- Ultan...

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