# Jupyter Community Call ## August 27th, 2019 **Date:** August 27, 2019, at 9am Pacific (your [timezone](https://arewemeetingyet.com/Los%20Angeles/2019-08-27/09:00/Jupyter%20Community%20Call)) **Link:** [Youtube Video](https://youtu.be/k1-1XAML9fc) **Welcome!** ## Purpose Think of it as a monthly, virtual JupyterCon. It’s a place to announce and share fun things happening in the Jupyter community. For more discussion on the format of these calls, see the thread [here](https://discourse.jupyter.org/t/reviving-the-all-jupyter-team-meetings/423). ## Short reports, celebrations, shout-outs This is a place to make *short* announcements (without a need for discussion). * [x] Tracking Jupyter Newsletter, [22nd edition](https://tinyletter.com/TrackingJupyter/letters/tracking-jupyter-newsletter-the-twenty-second). Thank you, Tony Hirst! * [x] JupyterLab 1.1.0rc0 is up on PyPI and conda-forge. Please test! JupyterLab 1.1.0 will be released tomorrow. * `pip install --pre jupyterlab==1.1.0rc0` or * `conda install -c conda-forge/label/prerelease-jupyterlab jupyterlab=1.1.0rc0` * [ ] [name=yournamehere] ## Agenda Items Add agenda items here **before** the meeting. We will reorganize the agenda so that it fits in the 60m meeting slot. * [x] [name=Jupyter Cal Poly Intern Team] [Rich Text JupyterLab extension](https://github.com/jupytercalpoly/jupyterlab-richtext-mode) * [x] [name=Jupyter Cal Poly Intern Team] [Python Package Installer JupyterLab extension](https://github.com/jupytercalpoly/jupyterlab-pkginstaller) * [x] [name=Tony Fast] Gist to Binder * https://gist.github.com/Zsailer/6da0dc3c97ec873685b7fe58e52d36d7 * People say reproducibility is hard. * User mybinder.org to generate a live notebook from a Gist. * dependencies in requirement.txt lead to a faster build. * [x] [name=Saul Shanabrook] [JupyterLab Rich Context Extensions](https://discourse.jupyter.org/t/jupyterlab-rich-context-extensions/1350) * [ ] [Data registry](https://github.com/jupyterlab/jupyterlab-data-explorer) with [HDF5 Viewer](https://github.com/telamonian/jupyterlab-hdf/) * [ ] It's meant to make it easier to create new extensions in JupyterLab that deal with different data formats. If you have a data viewer extension, you shouldn't care if the data came from a file or from a notebook output or a database, you just want to be able to render a certain format. * [ ] Able to visualize HDF5 datasets using this extension too! * [ ] [Metadata/linked data service](https://github.com/jupyterlab/jupyterlab-data-explorer) ## Attendees If you are joining the Jupyter Community Call, sign in below so we know who was here. - Zach | Jupyter Cal Poly | @Zsailer | - Derek | Jupyter Cal Poly (Intern) | @dLamSlo8 | - Isabela | Jupyter Cal Poly (Intern) | @isabela-pf | - Marisa | Jupyter Cal Poly (Intern) | @marisaaquilina | - Markelle | Jupyter Cal Poly (Intern) | @markellekelly | - Javier | Jupyter Cal Poly (Intern) | @javag97 | - Denton | Project Drawdown | @dgentry | - Tony | Quansight | @tonyfast | - Chico Venancio| BMC Group K. K.| @chicocvenancio| - Elizabeth DuPre | McGill University | @emdupre| - Wayne Decatur | Upstate Medical University | @fomightez| - Saul Shanabrook | Quansight | @saulshanabrook | - Joe | Mavenomics | @quigleyj-mavenomics| - A. T. Darian | Two Sigma | @afshin | - Erik Sundell | Sandvik | @consideRatio | - Kevin Bates | IBM | @kevin-bates |