Executive Development Programme in Mastering Python Module Testing Techniques

This course is designed for experienced Python developers and technical leaders aiming to enhance their skills in testing. Participants will gain expertise in advanced testing frameworks, automated testing strategies, and best practices for ensuring high-quality code.

Attendees will learn to implement unit, integration, and system testing effectively, and understand how to use tools like Pytest, Faker, and Hypothesis. The program also covers test-driven development (TDD) and continuous integration (CI) to improve software development workflows.

1. 1. Introduction to Python Testing: Learners will understand the importance of testing in Python development and explore basic testing concepts. They will gain foundational skills in setting up testing environments and writing simple test cases.
2. 2. Unit Testing Fundamentals: This module covers the basics of unit testing in Python using the unittest framework. Learners will learn how to write and run unit tests, and how to use assertions to validate code behavior.
3. 3. Introduction to pytest: An exploration of pytest, a popular testing framework for Python. Learners will learn how to write more concise and readable tests using fixtures, parametrization, and other features of pytest.
4. 4. Testing Libraries and Tools: This module introduces learners to additional testing libraries such as PyTest-Django for web development and hypothesis for generative testing. Practical skills in integrating these tools into projects will be covered.
5. 5. Test-Driven Development (TDD): Learners will delve into TDD practices, understanding how to write tests before writing the code. They will practice implementing TDD in simple projects to reinforce the benefits of this approach.
6. 6. Mocking and Testing External Dependencies: This module focuses on using mock objects to test code that interacts with external systems. Learners will learn how to mock dependencies and external APIs to ensure tests are isolated and reliable.
7. 7. Continuous Integration and Testing: An overview of CI/CD pipelines and how testing fits into the process. Learners will set up and configure CI/CD tools like Jenkins or GitHub Actions to run automated tests on their code.
8. 8. Advanced Testing Strategies: Learners will explore more advanced testing techniques such as integration testing, end-to-end testing, and performance testing. They will learn how to write comprehensive test suites that cover different aspects of their applications.
9. 9. Testing Web Applications: This module covers testing web applications built with Python frameworks like Flask or Django. Learners will learn how to use Selenium and other tools to test web interfaces and interactions.
10. 10. Best Practices and Real-World Case Studies: A comprehensive look at best practices in Python testing, including code coverage, test documentation, and maintaining test suites. Real-world case studies will be analyzed to provide practical insights into testing challenges and solutions.