wmfdata is a Python package that streamlines data analysis on SWAP (Wikimedia's JupyterHub service for private data). We have just released version 1.0. This is our first properly-versioned release and is filled with many improvements, including much better settings for Spark sessions and the ability to run SQL using Hive's command line interface.

The package automatically checks for updates when imported and notifies the user if any are available; however, due to changes we've made setting up our release process, the check in old versions will now encounter an error which will prevent the package from being imported.

The check now raises a warning rather than an error if something goes wrong, so future changes will not cause such disruption. Bricking old versions is definitely not good practice!

If you do data analysis on SWAP, but haven't tried wmfdata, please check it out! It has lots of useful features and we have even more planned. We also have similarly useful R package.