Accelerate Python Pandas using PyPolars

In this video, I'll show you the power of PyPolars which is a DataFrame library written in Rust which can accelerate some of the Python Pandas operations by 2x to 10x.

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[swfsql]

3:21 i have an advice (which could or could not be your case), that is to run the loading/benchmark twice, because the os _could_ store that harddrive file content inside of the system's ram, and then then next loading access of that file could be faster

[TheSags]

Are all the attributes & function syntax of PyPolars exactly same as Pandas ??

[shivampradhan]

Hi Bhavesh you are creating one the best content related to ml dl in india .
Thanks for the great work .

[udaysai]

Hey Bhavesh,

Thanks for the video man. I have a question pertaining to these type of libraries like PyPolars or dask which has lesss processing time than traditional pandas library. Are these data structures compatible with SKlearn and some of the visualization libraries like bokeh, seaborn, matplotlib and plotlt etc...?

[rohitjagdale]

Can we do all things with PyPolars as with Pandas ?