Global Certificate in Python Backend: Testing and Debugging Techniques

This course is designed for developers and software engineers interested in enhancing their Python backend skills, particularly in testing and debugging. Participants will gain proficiency in using various testing frameworks and debugging tools to identify and resolve issues in complex backend systems, improving code quality and system reliability.

By the end of the course, learners will be able to implement effective testing strategies, write automated tests, and employ advanced debugging techniques to quickly diagnose and fix problems in production environments, ensuring robust and maintainable backend applications.

1. 1. Introduction to Python Backend Development: Learners will understand the basics of Python backend development, including its role in web applications, and gain knowledge of setting up a development environment. They will learn how to write and run simple Python scripts.
2. 2. Fundamentals of Debugging: This module covers basic debugging techniques such as using print statements, debuggers, and logging. Learners will practice identifying and resolving common issues in Python applications.
3. 3. Exception Handling in Python: Learners will study how to handle exceptions in Python, including creating custom exceptions and using try-except blocks. Practical skills include writing robust code that can gracefully handle errors.
4. 4. Unit Testing in Python: This module introduces the concept of unit testing and how to write test cases using frameworks like PyTest. Learners will gain hands-on experience in writing, running, and maintaining unit tests.
5. 5. Integration Testing and API Testing: Learners will learn how to perform integration testing and API testing to ensure that different parts of a system or the API behave as expected. They will use tools like Postman for API testing.
6. 6. Performance Testing and Profiling: This module covers performance testing techniques and tools, including profiling Python applications to identify bottlenecks. Learners will learn how to optimize code for better performance.
7. 7. Debugging Multi-threaded and Async Python Applications: Learners will explore debugging techniques for multi-threaded and asynchronous Python applications, including understanding concurrency issues and using specific tools and libraries.
8. 8. Automated Testing and Continuous Integration: This module focuses on setting up and automating testing processes, including integrating testing into the development workflow using CI/CD tools like Jenkins or GitHub Actions.
9. 9. Debugging Tools and Environments: Learners will study various debugging tools and environments available for Python, such as PyCharm, Visual Studio Code, and various command-line tools. They will learn how to use these tools effectively.
10. 10. Best Practices for Debugging and Testing: This module covers best practices for debugging and testing, including maintaining clear and readable code, writing comprehensive test suites, and using version control systems effectively.