Global Certificate in Intermediate Python: Error Handling and Debugging Techniques

This course is designed for intermediate Python programmers looking to enhance their skills in error handling and debugging. Participants will gain proficiency in using Python’s built-in exception handling mechanisms, such as try, except, else, and finally blocks, and learn to write more robust and maintainable code.

The curriculum also covers advanced debugging techniques, including the use of Python’s debuggers like pdb, understanding common pitfalls, and implementing effective testing strategies to identify and resolve issues efficiently.

1. 1. Introduction to Error Handling: Learners will study basic error types and exception handling in Python, including syntax errors, runtime errors, and exceptions. They will gain skills in using try, except, and finally blocks to manage errors gracefully.
2. 2. Exception Types and Custom Exceptions: This module covers various built-in exception types and how to handle them. Learners will also learn how to create custom exceptions to handle specific error scenarios effectively.
3. 3. Debugging Fundamentals: Learners will explore foundational debugging concepts, including the use of print statements, debuggers, and logging. They will gain practical skills in identifying and fixing common programming errors.
4. 4. Advanced Debugging Tools and Techniques: This module delves into advanced debugging tools and techniques, such as using IDEs, breakpoints, and step execution. Learners will enhance their ability to debug complex code efficiently.
5. 5. Debugging Strategies: Learners will study various debugging strategies, including top-down and bottom-up approaches, and how to apply them to different programming scenarios. They will learn to systematically isolate and resolve issues.
6. 6. Error Handling Best Practices: This module covers best practices for error handling, including how to write robust and maintainable code. Learners will learn to anticipate and handle potential errors proactively.
7. 7. Working with External Libraries and Packages: Learners will explore common issues when working with external libraries and packages, including version conflicts and integration errors. They will gain skills in handling these scenarios effectively.
8. 8. Performance Debugging: This module focuses on identifying and resolving performance issues in Python code. Learners will learn techniques to optimize code execution and improve program efficiency.
9. 9. Testing and Error Handling: Learners will study the relationship between testing and error handling, including unit testing and integration testing. They will learn how to write tests to handle expected and unexpected errors.
10. 10. Continuous Integration and Deployment: The final module covers integrating error handling and debugging techniques into continuous integration and deployment pipelines. Learners will learn how to automate testing and error handling for reliable software releases.