Xarray - more than Pandas in multiple dimensions - Ondřej Grover [PyData Prague #8 2020]

The presentation is available here: github.com/sma...
The Xarray library has in recent years become one of the de-facto standards for working with multi-dimensional datasets in Python. While calling it "a generalization of Pandas into multiple dimensions" gives a reasonable first impression, there is much more to it than that. For instance, the transparent and well structured API offers a concise handle on the depths of NumPy and Dask broadcasting magic. The API and helper functions also enable the construction of convenient and versatile wrappers of e.g. Scipy routines which then become applicable in any domain where data can be represented by Xarray containers. The talk will showcase the basic Pandas-like usage as well as some of the aforementioned advanced features.
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[@luiservela]

Dik Ondra!

[@joshuatrampier4355]

Thanks for the tutorial. -How did you do the side-by-side code block presentation? From the repo, looks like you may have exported nb to a Reveal.js presentation and did some post-processing.- Nevermind, listening to the end, you used the RISE and Split Cell extensions.