My take on teaching network analysis and graph theory concepts, using NetworkX. Taught at many conferences since 2015.
Model, loss, and optimizer: the core components of deep learning. Come learn more; at the end, we even build the beginnings of a deep learning framework!
Bayesian statistical analysis concepts, taught using PyMC3, with Hugo Bowne-Anderson.