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Lab 2 Introduction

Lab 2 Introduction

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Lab 1 Solution

Lab 2 Overview

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Course Syllabus

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- Objectives
- Prerequisites
Essential Streams concepts
- Applications, operations, streams, and tuples
Lab 1: create a simple Python application
- Lab 1 Introduction
- Lab 1 overview
- 1. Develop a basic Python application
- 2. View output on the Streams Console
- Lab 1 Solution
Lab 2: handle a variety of patient data
- Lab 2 Introduction
- Lab 2 Overview
- 1. Filter data with a lambda function
- 2. Submit the patient simulator as a job on the Streams Console
- 3. Subscribe to the simulator
- Lab 2 Solution
Lab 3: anonymize and average data
- Lab 3 Introduction
- Lab 3 overview
- 1. Anonymize patient data
- 2. Keeping states
- Lab 3 Solution
Lab 4: visualize data in a Python notebook
- Lab 4 Introduction
- Lab 4 overview
- 1. Create a view
- 2. Fetch view data
- Lab 4 Solution
Wrap up
- Course summary
- Next steps

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