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Purpose

This project holds a selection of jupyter notebooks that might be helpful when working with pandas. The .ipynb files are rendered on github, so a notebook can be viewed without an installed jupyter environment.

Why are there .py files

Since .ipynb files change with each execution of a notebook, tracking changes is not really possible. Fortunately the jupytext project provides a .py representation of a notebook which can be kept in git.

For an explanation how this works, see:

https://towardsdatascience.com/introducing-jupytext-9234fdff6c57

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pandas and Matplotlib examples

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