This is great and amazing and lovely and I love it! <3

On Wed, Dec 21, 2016 at 12:15 AM, Matthias Bussonnier
<[email protected]> 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 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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-- 
Yuvi Panda T
http://yuvi.in/blog

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