What the Masterclass is About:

This masterclass is designed to equip participants with practical debugging and testing skills in Python, with a special focus on leveraging AI tools like ChatGPT or Claude to enhance efficiency. Each session will provide a comprehensive look at debugging strategies, unit testing, mocking external dependencies, and continuous integration. Through hands-on examples, participants will learn how to streamline debugging processes, write effective tests, and harness AI assistance to troubleshoot and optimize code, making them better prepared for real-world programming tasks.

Key Features:

AI-Assisted Debugging:

• Integration of AI tools for real-time debugging support, including troubleshooting, error analysis, and optimized problem resolution.

Core Debugging Techniques:

• Practical walkthroughs using the pdb debugger, covering setting breakpoints, inspecting variables, and resolving code issues.

Testing Fundamentals:

• Hands-on practice with unit testing frameworks like unittest and pytest, and techniques for creating reliable and maintainable test cases.

Mocking and CI Integration:

• Strategies for simulating external dependencies with unittest.mock and setting up continuous testing pipelines using GitHub Actions.

Outcome:

By the end of the masterclass, participants will:

• Understand essential debugging techniques and be able to use the pdb debugger to identify and fix code issues.
• Gain proficiency in writing effective unit tests with frameworks like unittest and pytest.
• Learn how to mock external dependencies and set up a continuous testing pipeline using CI tools.
• Effectively leverage AI tools to aid in debugging, test generation, and CI troubleshooting.