Bla bla… here’s what you have to do: Install nbinteract: pip install nbinteract (even if you have anaconda installed, use pip) Create a git repo for your project – this is important otherwise nbinteract will NOT run Make your repo public Under settings, enable pages (so that you can host your code on your github.io) …
The Amazing Kronecker Product
Kronecker products can be used to efficiently and easily create 2D and 3D finite difference (and other) operators based on simple 1D operators for derivatives. Here’s a Jupyter notebook that shows you how to do this. You can find this notebook on nbviewer here.
Vector Graphics Plots using Matplotlib in Jupyter
Here’s a neat trick I learned today to display all matplotlib plots as vector format rather than raster in Jupyter notebooks: