Executive Development Programme in Test-Driven Development in Python with PyTest

This course is designed for experienced software developers and technical leaders aiming to enhance their skills in Test-Driven Development (TDD) using Python and PyTest. Participants will gain hands-on experience in writing efficient, maintainable tests and integrating them into their development process to improve code quality and reduce bugs.

Upon completion, learners will be proficient in using PyTest for various testing scenarios, including unit tests, integration tests, and end-to-end tests. They will also understand how TDD can be applied to real-world projects to streamline development and foster a culture of continuous improvement and quality assurance.

1. 1. Introduction to Test-Driven Development (TDD): Learners will understand the principles of TDD and its benefits in software development, and will begin writing simple unit tests using Python and PyTest.
2. 2. Python Fundamentals for Testing: This module covers essential Python programming concepts necessary for writing effective tests, including functions, classes, and basic data structures.
3. 3. Writing Basic Unit Tests with PyTest: Students will learn how to write and run basic unit tests using PyTest, covering assert statements, fixtures, and basic test structure.
4. 4. Advanced Test Writing Techniques: This module introduces advanced testing techniques such as parameterized tests, fixtures with scope, and writing complex test cases to handle various input scenarios.
5. 5. Mocking and Stubs in PyTest: Learners will explore the use of mocking and stubbing in PyTest to isolate dependencies and test complex systems effectively.
6. 6. Integration Testing with PyTest: This module covers how to write and execute integration tests to verify the interaction between different parts of a system.
7. 7. Continuous Integration and PyTest: Students will learn to integrate PyTest into a continuous integration pipeline, using tools like Jenkins or GitHub Actions to automatically run tests.
8. 8. Test Automation and Reporting with PyTest: This module focuses on automating test execution and generating detailed reports to track test coverage and performance.
9. 9. Performance Testing with PyTest: Learners will learn how to set up and run performance tests using PyTest, understanding how to measure and improve the performance of Python applications.
10. 10. Best Practices and Real-World Applications: The final module covers best practices for maintaining and scaling test-driven development processes, including real-world case studies and hands-on projects.