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Errors & debugging

Handle failures gracefully, raise helpful errors, and debug with confidence.

3 matches
Errors & debugging easy

Catch RecursionError and Fail Gracefully in Python

Wrap a recursive function call in a try-except block to catch RecursionError and print a graceful failure message instead of crashing.

recursion exceptions error-handling
Python
def compute_factorial_recursive(n):
    """Compute factorial recursively, raising RecursionError for deep recursion."""
    if n == 0:
        return 1
    return n * compute_factorial_recursive(n - 1)


if __name__ == "__main__":
    try:
        result = compute_factorial_recursive(10000)
        print(f"Factorial c…
13 0 Open
Errors & debugging easy

How to Detect the Recursion Limit in Python with sys.getrecursionlimit

This Python code recursively calls itself, printing the current recursion depth and the recursion limit from sys.getrecursionlimit, and catches the RecursionError when the limit is hit.

recursion sys debugging
Python
import sys

def recurse(depth=0):
    print(f"Depth: {depth}, Recursion limit: {sys.getrecursionlimit()}")
    return recurse(depth + 1)

if __name__ == "__main__":
    try:
        recurse()
    except RecursionError:
        print("Recursion limit reached!")
        print(f"Final recursion limit: {sys.getrecursionli…
13 0 Open
Errors & debugging easy

How to Measure Python Stack Depth with inspect.stack()

Measure the current call stack depth in Python using the inspect module to understand recursion depth and debug execution context.

inspect recursion stack
Python
import inspect

def stack_depth():
    return len(inspect.stack())

def recursive_function(n):
    if n == 0:
        print(f"Base case reached. Stack depth: {stack_depth()}")
        return
    recursive_function(n - 1)

if __name__ == "__main__":
    print(f"Initial stack depth: {stack_depth()}")
    recursive_funct…
16 0 Open

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Errors & debugging — Python code examples

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This page collects errors & debugging snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.