This sounds like a good blog post (or start of a wiki page)! > On Sep 19, 2018, at 4:49 PM, Katrin Tirok via discuss > <[email protected]> wrote: > > Thanks everyone for the interesting feedback and discussion. I definitely > learned about some new tools I had not discovered yet, to add one more to the > round, there is also CoCalc (https://cocalc.com/), which offers jupyter > notebooks for different languages in the web, base version is free. > > What I take for myself from this: > > I will still follow The Carpentries philosophy of getting each participant > set up with a working system locally on their laptop. > If there is decent internet access, I can rely on services like RstudioCloud > for R or Microsoft Azure and CoCalc for python with Jupyter as a backup. > These online offers can also serve as an alternative for participants whose > computer is very slow or for participants who don’t have their own laptop and > use a Lan computer in the workshop. For the three services mentioned above, > one creates a free account which would be persistent and accessible from any > computer (actually any internet device). Google Colab is another option for > Jupyter python notebooks although their look is a bit different to the > standard notebook. > I also want to include more pair-programming in my teaching, which can also > take pressure of individual technical issues (not the main reason though) > If a workshop is in a place with limited internet access, a laptop or mini > computer with RstudioServer or JupyterHub with extra router sounds like a > good backup option. In addition, there is also the option of installing and > run certain software from a usb drive, or an entire operating system (live > linux distributions). I remember also the option of creating a local package > repository, e.g. miniCran for R, to use for package installations. > Virtual machines are surely a nice option and I will likely play with them > for my own interest, but I tend to leave those out for short workshops, they > seem to introduce another level of complexity to explain to participants. > > > summary list with links to tools mentioned: > > RstuioCloud https://rstudio.cloud > Microsoft Azure notebooks https://notebooks.azure.com > > CoCalc https://cocalc.com > > Colab https://colab.research.google.com > > RstudioServer https://www.rstudio.com/products/rstudio-server/ > > JupyterHub https://jupyter.org/hub > https://jupyterhub.readthedocs.io/en/stable/ > > miniCran https://andrie.github.io/miniCRAN/ > https://docs.microsoft.com/en-us/sql/advanced-analytics/r/create-a-local-package-repository-using-minicran?view=sql-server-2017 > > > Docker https://www.docker.com > > binder https://mybinder.org/ > > VirtualBox https://www.virtualbox.org > > R/Rstudio portable https://sourceforge.net/projects/rportable/ > > > The Carpentries / discuss / see discussions + participants + delivery options > Permalink
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