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Unit Testing with Python

Course Summary

This course will help you to write good unit tests for your Python code, using tools such as unittest, doctest and py.test. Unit tests should improve code quality, and also support future development.


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    Course Syllabus

    Unit Testing with Python - Basic Example Using unittest
    - 34m 7s

    —Course Overview 1m 58s
    —Module Overview 2m 50s
    —A First Test Case 4m 4s
    —Another Test Case, Explanation of 'Test Runner' 4m 19s
    —A Test Case Using assertRaises, Explanation of 'Test Suite' 2m 55s
    —Skip a Test Case, Marking it Work In Progress 1m 51s
    —Using setUp and tearDown - Explanation of 'Test Fixture' 4m 4s
    —Re-Introduce the Skipped Test Case, Get it to Pass. 0m 54s
    —Cest Case Design - Test Case Names as Specification. 5m 4s
    —Arrange - Act - Assert - Cleanup 3m 31s
    —unittest Documentation. 1m 49s
    —Module Summary. 0m 48s
    Why and When Should You Write Unit Tests?
    - 23m 59s

    —Module Outline 0m 40s
    —Four Reasons for Unit Testing 0m 47s
    —Understanding What to Build 2m 20s
    —Documenting the Units 1m 15s
    —Designing the Units 2m 37s
    —Detecting Regression 3m 21s
    —Limitations of Unit Testing 1m 20s
    —Testing as Part of Your Personal Development Process 1m 27s
    —Test Last 1m 55s
    —Test First 2m 15s
    —Test Driven 1m 22s
    —Continuous Integration 4m 5s
    —Module Review 0m 30s
    Using Pytest for Unit Testing in Python
    - 22m 28s
    Testable Documentation with Doctest
    - 29m 11s
    Test Doubles: Mocks, Fakes and Stubs
    - 40m 50s
    Test Coverage and Parameterized Tests
    - 27m 40s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Quality Assurance & Testing Community

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