Great introduction to stock market analysis. Covers how to obtain stock data using pandas, visualizing stock data, moving averages, developing a moving-average crossover strategy, backtesting, and benchmarking.
Simulacrum is a simple way to pass in a dictionary object, with column names and corresponding data types and output a pandas DataFrame of random data. Great for creating a fake data set or testing data science scripts.
ggraph is an extension of ggplot2 tailored at plotting graph-like data structures (graphs, networks, trees, hierarchies...). It is not a graph plotting framework that uses ggplot2 underneath, but rather an extension of the ggplot2 API to make sense for graph data.