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At GlobalMart, Python scripts power critical workflows across departments — from processing sales data to managing inventory. But lately, a few programs have started failing silently or producing inaccurate results. Developers are finding it difficult to trace issues, fix logic errors, and keep the code running smoothly. The question now is simple yet crucial: how do you make Python code resilient enough to recover gracefully from unexpected errors?
This is where Debugging and Error Handling in Python comes in. It’s the process of identifying, analyzing, and fixing problems in your code while ensuring that exceptions are handled cleanly. These techniques not only help you locate bugs faster but also prevent entire applications from crashing due to minor issues.
In this masterclass, you'll explore:
Debugging fundamentals and how to systematically identify and fix code issues
Try–Except handling and how it prevents runtime crashes
Else, Raise, and Finally clauses and how they ensure clean program execution
Common error types and how to interpret Python’s error messages effectively
By the end, you'll understand how to write robust, fault-tolerant Python code that keeps your programs running even when things go wrong.