Tools and Techniques
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.
Part 4 of a popular series from NVIDIA about topics in deep learning. This post explores reinforcement learning. This is easy to follow and very well done.
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.
This Q/A with Hadley Wickham includes recommendations for R learning resources, useful packages, favorite blogs, and insights about where things are going.