SooOOooo...just how FAST is this PYTHON library for Data Science?

you lost me when you said rust

Then why not use polar pandas?

Is it better/faster than R ?

3rd party libraries? Fucking cringe

My only question is in what use case would you need something faster than pandas? I have been doing data science for a couple of years now and even the biggest datasets don't need that much time to load on pds

theres pandas 2.0 coming up....check out the beta version

Please do a tutorial on this for cnn-lstm hybrid model for image classification

How fast it is? 5% of the c++ speed, what a fucking joke

polars uses lazy loading, so it isn't a fair comparison.

Indeed

Definitely

Do you know why?

polars also more consistent with the time per op

Pyspark >>

Have you tested how much memory is consumed? Sometimes performance is not everything, I can use all my computer resources to run an application but what is the cost? You end up having a super laggy computer as your memory is mostly consumed

Tips for the lazies like me: ask chatgpt to migrate your code snippets from pandas to Polars 😂

Polars tutorial abeg😂😂

waiting for the tutorial

WRONG ADVICE!

If you are new to pandas stick with it, learn enough to be considered average, then move on to polars.

- don't spend time learning every new technology, you will end up learning nothing

- polars is fast and new, but Pandas is still the one with the most developed ecosystem, community, and job offers.

would like to see a full video of how the big is difference for other methods

Have you created any end to end follow along tutorials? I'd like to learn by following along if possible. Thanks for the content!

Polars always crashes the kernel, unlike pandas

nice bro. i didn't leave a negative comment

First tell us how to use black theme for jupiter lab

Yeah sure need a polar library tutorial ❤❤.

Let's see you run it

Yes we need

why jupiter?

But what's the catch?

Yes pls

Kaggle 💪

What about pickle?

Next library :-
Bears.
Then?
Grizzly bears.

We want Polars🎉 tutorial

Yes Sirrrrrr

How to build a diffusion model?

Just use chunking with pandas and you're good to go

i think bro doesn't know how fast is rust

Import polars as pd 🎉

Wow that's fast

NO

Milliseconds.

Hey man is there any difference if we install polars from shell and directly on the jupyterlab

Maybe do a better test 😂

Show us a vectorized operation (simd) operation. Unless you're going to compare that to polars there's really no point

Using the right tool for the job: DuckDB.

Yes Sir Nick, Kaggle competition, If it can be a live stream

Thanks

Kaggle competition tutorial

yes please let's have a full polars tutorial to analyse a kaggle dataset

Want a tutorial