To get familiar with the IBM Streams Python Application API, you will:

  • Learn and apply essential concepts of stream computing
  • Get to know the most common IBM Streams operations in the Python API
  • Write a fully functional program that monitors patients’ vital signs
  • Monitor your applications in the Streams Console and visualize results in the Python notebook

This course includes four labs that introduce core Streams concepts and tasks:

Lab 1
Build a basic Streams application using the Python API. Run and observe it using the Streams Console.

Lab 2
Subscribe your application to a realistic data simulator and use the filter function to identify heart rate data.

Lab 3
Anonymize patient data by transforming the tuples on your stream. Then, compute the moving average of the last 10 heart rate readings.

Lab 4
Visualize your application’s output data with Matplotlib on the Python notebook.