Python Debugging and Refactoring: Fix, Clean, and Improve Your Code

Finding yourself stuck with a broken Python application or realizing a database model design choice isn't working can be incredibly frustrating. Knowing how to systematically debug and safely refactor your code is what separates hobbyists from professional developers. In this text-based course, you will transition from guessing why your code is broken to confidently diagnosing and fixing Python bugs. You will learn how to analyze errors, safely change data models, and refactor your codebase without introducing new issues. What you'll learn: - Understand foundational debugging terminology and how to read Python tracebacks effectively - Master the native Python debugger and the modern breakpoint statement to inspect running code - Refactor problematic database and model fields when your initial design choices need to change - Apply modern type hints and static analysis tools to catch potential bugs before they run - Write basic tests using pytest to ensure your bug fixes do not break existing features - Implement clean-code principles to make your Python applications easier to maintain and debug We begin with the core concepts of debugging and reading error logs, then move step-by-step through a practical scenario where we refactor a flawed model design. You will read clear explanations and review practical code snippets that demonstrate how to clean up and secure your code. This course is designed for beginner Python developers who want to improve their problem-solving skills; no prior debugging experience is required. Start reading today to master the art of finding and fixing Python bugs with confidence.