Developer UnConference: Hands-On-Lab 3 "Python" REPETITION

Holger KyasCertified IT Architect and Adjunct ProfessorIBM Switzerland / University of Applied Sciences Bern

Holger Kyas

The Developer UnConference is an exchange and learning platform for Developers and Non-Developers (really!): IT Architects, Data Scientists, Analysts, Managers... and all interested people in topics like Hacking, Cloud Computing, Data Science, Analytics, Big Data Analytics, Artificial Intelligence, Machine Learning, Blockchain, Research, DevOps, Robotics, Quantum Computung, Open Source and other emerging technologies.
This event is free-of-charge. Food and beverages are in general not covered - except indicated.
The main event page is here: <A HREF="https://www.meetup.com/Big-Data-Developers-Switzerland/events/242917086/" TARGET="_blank" TITLE="https://www.meetup.com/Big-Data-Developers-Switzerland/events/242917086/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.meetup.com/Big-Data-Developers-Switzerland/events/242917086/</A>.
BRING YOUR OWN LAPTOP !!!!
1545-1745   Hands-On Lab 3 "Python" REPETITION: Realtime Streaming Analytics Computing with Python (Stephan Reimann, IBM Germany)  [Technical Skill Level: Medium  (Programming)]
Abstract - Description of the lab
Objectives
-        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.
Lab Resources
<A HREF="https://developer.ibm.com/courses/all/streaming-analytics-basics-python-developers/?course=begin#10239" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://developer.ibm.com/courses/all/streaming-analytics-basics-python-developers/?course=begin#10239</A>
Prerequisites
You will run your application in the IBM® Cloud using IBM® Bluemix®. No local installations of any kind are required. All of the development will be done in a Python 3.5 notebook in IBM’s Data Science Experience with the real-time analytics performed by IBM Streams. You will need to create or log in to the following accounts:
    - Your own Laptop
   - Internet Connection
   - IBM Cloud (Bluemix): <A HREF="https://www.ibm.com/cloud/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.ibm.com/cloud/</A> à Signup
   - Access to Streaming Analytics service on IBM Cloud (Bluemix)
   - Data Science Experience (DSX): <A HREF="https://datascience.ibm.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://datascience.ibm.com/</A> --> Signup
About the Stephan
IT Specialist for Big Data@IBM <A HREF="https://www.linkedin.com/in/stephanreimann/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.linkedin.com/in/stephanreimann/</A>

IBM Client Center

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