📣 Check out our latest blog post: "Lightning-fast queries with Polars" https://www.orchest.io/blog/the-great-python-dataframe-showdown-part-3-lightning-fast-queries-with-polars If you have ever heard of Polars but never actually tried it, this post clarifies how it operates, gives some tips and tricks, and compares it with pandas 😛olar_bear: let me know what you think about it!

Plan on doing Dask? ☺️

it's on the list yes! 😄 what would you like to see in a blog post about Dask? I feel there are already many of them and would like to add something novel 🙂

I'll think about that. I have used for image processing into/ out of e.g. xarray. So coverage on n-dim stuff would definitely be appreciated. We could throw in some Fourier transforms? Everyone loves those. 🙂

Dask for non-tabular data would be cool indeed! this series is focused on dataframes though, but I'll keep that in mind for the near future and sure, who doesn't love fourier transforms?? I wrote a blog post about

scipy.fft

... 10 years ago 🤯 (I'm having to download an IPython version from 2014 to open it)

Before I get to play with Fourier transforms, I must remember how auto-correlation works, and implement 🙂

I owed you the blog post! https://nbviewer-org.translate.goog/gist/astrojuanlu/3804365?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en-US&_x_tr_pto=wapp