Advanced Certificate in Python Testing and Debugging: Mastering Unit Tests

This course is designed for software developers and testers seeking to deepen their Python skills, particularly in the areas of unit testing and debugging. Participants will learn to write efficient, maintainable, and effective unit tests using popular Python testing frameworks like PyTest and unittest.

Grantees will gain the ability to identify and resolve complex bugs through advanced debugging techniques, enhancing code reliability and project outcomes. By the end, students will have a robust toolkit to improve their Python code quality, ensuring it meets high standards of functionality and performance.

1. 1. Introduction to Python Testing: Learners will understand the importance of testing in software development and the basics of writing and running tests in Python. They will gain foundational skills in setting up testing environments and writing simple unit tests.
2. 2. Fundamentals of Unit Testing in Python: Focusing on core concepts, this module covers test frameworks such as PyTest and unittest, learning how to write, run, and manage tests effectively. Learners will practice creating test cases and understanding test structures.
3. 3. Debugging Techniques in Python: This module delves into common issues in Python and techniques for finding and fixing bugs. Learners will explore tools and methods for efficient debugging, including using Python's built-in debugger and external tools.
4. 4. Advanced PyTest Features: Building on basic PyTest knowledge, learners will master advanced features like parameterized testing, fixtures, and plugins. Practical exercises will help them apply these concepts to complex scenarios.
5. 5. Testing Web Applications with Flask: This module teaches how to test web applications using Python frameworks like Flask. Learners will learn to set up testing environments for web apps, write integration tests, and test APIs.
6. 6. Mocking and Dependency Injection: Focusing on advanced testing strategies, this module covers mocking and dependency injection to test components in isolation. Learners will practice using mocking libraries to simulate complex dependencies.
7. 7. Testing Asynchronous Code with AsyncIO: This module introduces testing techniques for asynchronous code using AsyncIO and the asyncio library. Learners will learn to write and run asynchronous tests and understand the challenges of testing async code.
8. 8. Performance Testing with Python: This module covers performance testing strategies and tools. Learners will learn to measure and optimize the performance of Python applications, using profiling tools and understanding benchmarking techniques.
9. 9. Continuous Integration and Deployment with Python: This module teaches how to integrate testing into CI/CD pipelines. Learners will learn to set up and configure CI/CD tools to automatically run tests and automate deployments.
10. 10. Best Practices for Python Testing and Debugging: The final module focuses on best practices for writing maintainable and efficient tests, debugging techniques, and strategies for integrating testing into the development lifecycle. Learners will practice applying these best practices to improve their testing and debugging skills.