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Pandas is getting outdated.

5 reasons you should move to FireDucks ๐Ÿ‘‡

1. Requires changing ONLY ONE line of code:
โ†ณ Replace "๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฎ๐˜€ ๐—ฝ๐—ฑ" with "๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐—ฒ ๐—ณ๐—ถ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ธ๐˜€.๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฎ๐˜€ ๐—ฝ๐—ฑ"
โ†ณ The rest of the entire code remains the same.
โ†ณ So, if you know Pandas, you already know how to use FireDucks.
โ†ณ Done!

2. Ridiculously faster as per official benchmarks:
โ†ณ Modin had an average speed-up of 0.9x over Pandas.
โ†ณ Polars had an average speed-up of 39x over Pandas.
โ†ณ But FireDucks had an average speed-up of 50x over Pandas.

3. Pandas is single-core; FireDucks is multi-core.

4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations.

5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below.

๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #FireDucks

http://t.me/codeprogrammer โญ๏ธ
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