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 registration. There are videos available of past MSI tutorials on the MSI Youtube channel. The most recent video of this tutorial can be found here. A PDF copy of the accompanying slides can be found in this repo.
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.