The Jupyter notebooks in this repository accompany the Python for Scientific Computing workshop hosted by the Minnesota Supercomputing Institute. Visit https://msi.umn.edu/tutorials/advanced-python-msi for details and a link to the accompanying slides. There are videos available of past MSI tutorials on the MSI Youtube channel. The most recent video of this tutorial can be found here.
You can clone a copy of this repository using git, for example:
git clone https://github.com/mbmilligan/msi-ipython-nb-ex
If you have a web browser and are connected to the UMN network, you can access our OnDemand interactive services and start a Jupyter session at https://ondemand.msi.umn.edu/.
You can also explore these demos on your own computer using an installation of Python with the necessary computational and scientific packages installed. See the file binder/environment.yml for a package list that is sufficient to run the notebooks here.
If you do not have access to a Python environment right now, you can click on the Binder badge above to run these examples through Mybinder.org in a temporary environment.