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(a)wikimedia.org.
On behalf of the Product Analytics team,
Neil Shah-Quinn