Zhenbin has written two new notebooks with a tutorial on VASP inputs and analyzing them with pymatgen (link), and on how you run Jupyter notebooks on national supercomputers for more expensive analyses (link).
Richard Tran has written an excellent Jupyter notebook on how you can use pymatgen to automatically generate surface slabs and analyzing calculated surface energies to construct the Wulff shape. Check it out here.
The Materials Virtual Lab has started matgenb, a new public repository to share example notebooks that demonstrate the utilization of open-source codes for the study of materials science. We frequently get requests (from students, postdocs, collaborators, or just general users) for example codes that demonstrate various capabilities in the open-source software we maintain and contribute to, such as the Materials Project software stack comprising pymatgen, custodian, and Fireworks. This repo is a start at building a more sustainable path towards sharing of code examples. The first example notebook has been posted on Getting data from the Materials Project.