Python notebooks for demonstrating various ideas, APIs, libraries.

• planout-abtest - Defining an AB test experiment with Planout, simulating exposures, and analysing the results.
• prophet-uber - Timeseries forecasting of Uber data using Prophet, which includes a trend, a weekly component and the impact of holidays.
• simpy-broadcast - Demonstration of using simpy to simulate a stream of read receipts for messages broadcast to 10 recipients.
• stepwise-processor - Stepwise processor pattern from Mahmoud Hashemi's Enterprise Software with Python course. Demonstrates topic summarization using Wikipedia.
• lendingclub-scipy - Demonstrates fitting an alpha distribution with scipy to LendingClub loan data.