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) …
Category: Jupyter
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: