If you use the wmfdata https://github.com/neilpquinn/wmfdata Python package, your version probably no longer works. You can fix this by updating to version 1.0 using the following terminal command: pip install --upgrade git+https://github.com/neilpquinn/wmfdata.git@release
*More details* wmfdata https://github.com/neilpquinn/wmfdata is a Python package that streamlines data analysis on SWAP https://wikitech.wikimedia.org/wiki/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, https://github.com/neilpquinn/wmfdata/blob/master/CHANGELOG.md#100-13-march-2020 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 https://www.techdirt.com/articles/20200220/13121043955/next-risk-buying-iot-product-is-having-it-bricked-patent-dispute.shtml old https://www.theverge.com/2016/4/4/11362928/google-nest-revolv-shutdown-smart-home-products versions https://www.ksby.com/news/national-news/spectrum-ending-home-security-leaving-customers-scrambling is definitely not good practice!
If you do data analysis on SWAP, but haven't tried wmfdata, please check it out https://github.com/neilpquinn/wmfdata! It has lots of useful features and we have even more planned https://phabricator.wikimedia.org/maniphest/?project=PHID-PROJ-ajtbhv3nvefa4poqypoe&statuses=open()&group=none&order=newest#R. We also have similarly useful R package https://phabricator.wikimedia.org/diffusion/1821/.
If you have any questions or comments, please do email us at product-analytics@wikimedia.org.
On behalf of the Product Analytics team, Neil Shah-Quinn