9 Hacks for Debugging and Identifying Errors in Python Code

1. Use try-except Blocks

Catch exceptions to identify specific issues without crashing your program. This helps in isolating errors.

try:
    # Code that might throw an error
    risky_function()
except Exception as e:
    print(f"Error occurred: {e}")

2. Leverage print() Debugging

Inserting print() statements in critical parts of your code helps track variables, outputs, and program flow.

def func(a, b):
    print(f"a = {a}, b = {b}")
    return a / b

3. Use Python’s Built-in pdb (Python Debugger)

pdb allows you to pause execution and interact with the program’s state to inspect variables and execution flow.

import pdb; pdb.set_trace()

4. Utilize assert for Quick Checks

Use assertions to validate conditions that must hold true during execution. It helps catch logical errors early.

def divide(a, b):
    assert b != 0, "Divider can't be…