Unit Testing with Python Training Course
Unit Testing is a testing approach that tests individual units of source code by modifying their properties or triggering an event to confirm whether the outcome is as expected. PyTest is a full-featured, API-independent, flexible, and extensible testing framework with an advanced, full-bodied fixture model.
In this instructor-led, live training, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Details :
Course Code : pytest
Duration: 21 hours (usually 3 days including breaks)
Workday courses take place between 09:30 and 16:30
– A general understanding of automation testing
– Software testers
Fees : 304860354 VND(Price per participant)
Venue : Ho Chi Minh City, Saigon Tower, Vietnam
Introduction to Unit Testing with PyTest
Unit Testing with UnitTest vs Unit Testing with PyTest
Writing Readable and Maintainable Tests
Using Mocks, Fakes and Stubs
Using Hooks, Assert Rewriting and Plug-ins
Streamlining Your Tests with Fixtures and Parameterized Testing
Obtaining the Desired Test Coverage
Generating Testable Documentation with Doctest
Integrating Python Unit Tests into a Continuous Integration (CI) Environment
Scaling Your Python Unit Tests
Use Python to Test Non-Python Applications
Summary and Conclusion
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