TSFRESH. TSFRESH is a “time series feature extraction based on scalable hypothesis tests.” In layman’s terms, it finds interesting things on a time-series chart for you automatically. The notebooks folder has Jupyter examples that show how to use it in your work, like this one that uses accelerometer data to figure out when you’re walking, climbing stairs, or just doing nothing at all. (Submitted anonymously.)
100 Days of Algorithms. Tomáš Bouda (@coells on GitHub) compiles a nice list of examples that illustrate a host of different algorithms with Python. If a title like “Day 14 – huffman codes.ipynb” lights you up, then you’re gonna love this (times 100). Also, bravo for not calling it “50 algorithms to whiteboard before you die.”
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