Hi all! Reminder that next week is the Jupyter+Virtualenv decommission week. We plan to turn off the JupyterHub service running on port 8000, and will remove custom Spark notebook kernels. Let us know if you have any questions or concerns! :) Thanks! - Andrew Oto + Data Engineering On Mon, Mar 22, 2021 at 9:25 AM Andrew Otto &lt;otto(a)wikimedia.org&gt; wrote: > Hello! > > tl;dr: We'd like to turn off Jupyter+Virtualenv (SWAP) in favor of > Jupyter+Conda (Newpyter) the week of May 3rd. Please help us test and > switch before then. > > > Over the last year, we've slowly been working on a replacement of the > current virtualenv based JupyterHub system (formerly known as SWAP) with a > new one based on Conda <https://docs.conda.io/en/latest/> (AKA > Newpyter). Everything should be in place to switch and decommission the > virtualenv based system you all are used to. Before we do...we have to > make sure you all use and are ok with the new setup! > > We'd like to decommission Jupyter+Virtualenv (running on port 8000) the > week of May 3rd. In the meantime, please switch to Jupyter+Conda on port > 8880. The documentation has been updated. > <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Jupyter> > > Summary of the changes: > > - You will ssh tunnel to port 8880 > <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Jupyter#Access> > instead of port 8000. > - Your Notebook files will remain unchanged. > - Your local data files will remain unchanged. > - Your Python environment will change, so you may need to re-install > packages. See docs here > <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Jupyter#Conda_environments> > and here > <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Anaconda#Installing_packages_into_your_user_conda_environment> > . > - PySpark, Scala Spark and Spark SQL and Spark-R kernels will be > removed. If you use the PySpark kernels currently, please port them to a > regular Python kernel using wmfdata-python to launch your SparkSession. > Docs here > <https://wikitech.wikimedia.org/wiki/Analytics/Systems/Jupyter#PySpark> > . > > Please reach out with any questions, and report issues on this ticket > <https://phabricator.wikimedia.org/T224658>. If we encounter any > blockers along the way, we will postpone the May 3rd deadline. > > Thank you! > - Andrew Otto + Data Engineering > > > > > > > > >