Sorry for missing the previous week, here is again an attempt at making a weekly summary. This weekly summary will of course depend on the quality of the notes taken on the Hackpad <https://jupyter.hackpad.com/December-2016-weekly-meetings-EqtMljhwq6X> we use during our meeting.
So here is a trimmed down version of what is currently happening on Jupyter these days Project management Brian has submitted materials to a trademark lawyer to pursue initial US based word and logo mark registration. Brian is working with Fernando on creating a process for writing Journal of Open Source Software (JOSS) articles for our different repos. We are recruiting a tech writer to work on the Jupyter documentation, today is the last day to submit leads. Release of Notebook 4.3 We release notebook 4.3 with token-based authentication for security reasons. The transition was not as smooth as planned and is causing trouble for some users. 4.3.1 (for release soon) should make it clearer what’s going on and what users have to do We’ve not yet identified any technical changes that would make this easier without compromising security. We’ll try to come up with a blog post that explain our decision and why we had to enable token, plus the issue we encountered. JupyterLab The JupyterLab team is estimating a beta release of JupyterLab for mid/late February We are starting to do a big triage pass to better understand what needs to be done for the beta Grant Nestor has created a very nice cookiecutter for custom MIME rendering: https://github.com/jupyterlab/mimerender-cookiecutter - JupyterLab output - JupyterLab file viewers - Classic notebook (requires notebook 4.3) JupyterHub The JupyterHub team is working on compatibility fixes for DockerSpawner and 0.7. We’re updating and testing ansible scripts for jupyterhub-deploy-teaching. With the recent release of Python 3.6, we will be updating Travis configurations. NbDime (NoteBook DIff and MErge) Min made the first release of nbdime: 0.1 ! There are a lots of low hanging fruits ! Contributions and feedback welcomed and encouraged ! Nbviewer NbViewer was running off of Rackspace’s Carina, which seemed to have a few issues. It’s not the case anymore. In general we have little time to maintain many of our services. If you are interested in helping and learning you are welcome. Nbconvert This week Mike released both nbconvert 4.3 and 5.0. 5.0 broke some of the in-memory templates, so a 5.1 (or 5.0.1) shoudl be out soon, helping to review issue jupyter/nbconvert#490 and PR jupyter/nbconvert#491 could make this faster. Autobuilding of documentation is broken, so no nice links to what’s new. Help with this would be appreciated as well. GitHub Automation. Matthias is working on GitHub automation, a bot to automatically backport PR, migrate issues across repos and orgs, allow user to tag issues, automatically apply pep-8 on PR… etc. If you have any requests/feature ideas, want to help, let us know. Visual Design Cameron, Farica and Charnpreet are working on a Jupyter Sphinx theme based based on the Alabaster theme. We looked at the RTD theme, but it is a nightmare to customize. In JupyterLab master we have moved to using SVG based icons Based on GitHub’s experience: https://github.com/blog/2112-delivering-octicons-with-svg It allows us to use Material Design icons at any size without artifacts. It Also makes is really easy to create custom icons (no mucking around with custom icon fonts). Are these weekly summary helpful ? Are they the right format ? Or would an RSS feed be better ? Something else ? Happy Holidays Enjoy the last few days of 2016, and take some time off your computer. Many of us will, so expect a low activity until beginning of January. No Weekly meeting until 2017, See you next year. — Matthias For the Jupyter Team -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/ac9e4814-46d2-4f51-8bc0-2fa46fb6f111%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
