Great stuff ... and perso I prefer it as a post here, not as RSS - if it 
doesn't come by e-mail  won't read it ;-)
Thanks

On Tuesday, December 20, 2016 at 7:45:53 PM UTC+1, Matthias Bussonnier 
wrote:
>
> 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
> ​
>

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