Reference library

Errors & debugging

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

18 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…
16 0 Open
Errors & debugging easy

Catch ValueError and print friendly message in Python

Wrap an int() call in a try/except block and print a friendly message when ValueError is raised.

error handling try except valueerror
Python
try:
    number = int("not_a_number")
except ValueError:
    print("That's not a valid number. Please enter digits only.")
15 0 Open
Errors & debugging easy

How to Build a Simple Debug Timer in Python

Create a context manager class to time the execution of a code block with a one-line printout.

debugging context-manager performance
Python
import time


class DebugTimer:
    """Context manager that times the execution of a code block."""

    def __init__(self, label="Operation"):
        self.label = label
        self.start_time = None

    def __enter__(self):
        self.start_time = time.perf_counter()
        return self

    def __exit__(self, e…
16 0 Open
Errors & debugging easy

How to Catch ValueError in Python

Shows how to handle a ValueError with try-except so a bad int() conversion doesn't crash the script.

try-except valueerror error-handling
Python
try:
    number = int("not_a_number")
    print(f"Parsed successfully: {number}")
except ValueError as e:
    print(f"Error: {e}")
    print("Please provide a valid integer.")
print("Program continues running.")
17 0 Open
Errors & debugging easy

How to Debug Print Behind a DEBUG Environment Flag in Python

Create a debug_print function that only outputs when the DEBUG environment variable is set to a truthy value like 1, true, yes, or on.

debugging environment-variables logging
Python
import os


def debug_print(*args, **kwargs):
    """Print only when DEBUG environment variable is set to a truthy value."""
    if os.environ.get("DEBUG", "").lower() in ("1", "true", "yes", "on"):
        print(*args, **kwargs)


if __name__ == "__main__":
    # Example usage: run as `DEBUG=1 python script.py` to se…
12 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 Handle ValueError When Converting Strings to Integers in Python

Convert text to an integer with a try-except block that catches ValueError and prints beginner-friendly error messages.

valueerror try-except int
Python
def parse_number(text):
    """Convert text to an integer, showing beginner-friendly error handling."""
    try:
        number = int(text)
        print(f"Successfully parsed: {number}")
        return number
    except ValueError as e:
        print(f"Error: '{text}' is not a valid number.")
        print(f"Debuggin…
12 0 Open
Errors & debugging easy

How to Handle ValueError with try except in Python

Shows a beginner-friendly try/except pattern that catches ValueError when converting text to an integer, prints a helpful message, and returns None instead of crashing.

try-except valueerror error-handling
Python
def parse_number(text):
    try:
        return int(text)
    except ValueError:
        print(f"ValueError: '{text}' is not a valid integer.")
        return None


if __name__ == "__main__":
    user_input = "abc"
    result = parse_number(user_input)
    print(f"Parsing '{user_input}' returned: {result}")

    vali…
15 0 Open
Errors & debugging easy

How to Inspect Local Variables in an except Block in Python

Capture and print local variables at the moment an exception occurs using locals() inside an except block.

debugging exception-handling locals
Python
def risky_operation(value):
    try:
        result = 10 / value
        return result
    except ZeroDivisionError as e:
        local_vars = dict(locals())
        print(f"Error: {e}")
        print("Local variables at exception:")
        for key, val in local_vars.items():
            print(f"  {key} = {val}")
   …
13 0 Open
Errors & debugging easy

How to Return Success or Error as a Tuple in Python (Result Type Pattern)

Use a (bool, value) tuple as a lightweight Result type to return either a successful result or a descriptive error message from a Python function.

result type error handling tuple unpacking
Python
def divide(dividend: float, divisor: float) -> tuple[bool, float | str]:
    """Return (True, result) on success, (False, error_message) on failure."""
    if divisor == 0:
        return False, "Error: Division by zero"
    return True, dividend / divisor


if __name__ == "__main__":
    # Success case
    success, r…
12 0 Open
Errors & debugging easy

How to Serialize an Exception to a JSON-Safe Dict in Python

Convert any Python exception into a JSON-safe dictionary with type, message, and the last few traceback lines for logging.

exceptions json logging
Python
import json
import traceback
from typing import Any


def exception_to_dict(exc: Exception) -> dict[str, Any]:
    """Convert an exception into a JSON-safe dictionary."""
    return {
        "type": type(exc).__name__,
        "message": str(exc),
        "traceback": traceback.format_exc().strip().split("\n")[-3:],
…
15 0 Open
Errors & debugging easy

How to Use Optional Return in Python Instead of Raising Exceptions

A Python function returns None for missing dictionary keys instead of raising KeyError, enabling graceful lookup handling with type hints.

optional typing dict-get
Python
from typing import Optional


def find_user(users: dict, user_id: int) -> Optional[dict]:
    """
    Look up a user by ID. Returns the user dict if found,
    otherwise returns None instead of raising KeyError.
    """
    return users.get(user_id)


def main() -> None:
    users = {
        1: {"name": "Alice", "ema…
15 0 Open
Errors & debugging easy

How to Use pdb.post_mortem in Python

Automatically enter the Python debugger at the exact point where an uncaught exception occurred, allowing interactive inspection of the crash site.

pdb debugging exceptions
Python
import pdb
import sys

def divide(a, b):
    return a / b

def main():
    try:
        result = divide(10, 0)
        print(f"Result: {result}")
    except Exception:
        # Enter post-mortem debugging when an uncaught exception occurs
        pdb.post_mortem(sys.exc_info()[2])

if __name__ == "__main__":
    main…
13 0 Open
Errors & debugging easy

How to Use the breakpoint() Function for Interactive Debugging in Python

Insert a breakpoint() call into your code to drop into an interactive debugger session where you can inspect variables and step through execution.

debugging pdb breakpoint
Python
def calculate_total(prices, discount=0):
    """Calculates total price with optional discount."""
    subtotal = sum(prices)
    breakpoint()  # Interactive debugging session starts here
    final_total = subtotal * (1 - discount)
    return final_total


if __name__ == "__main__":
    items = [25.50, 13.25, 9.99, 5.7…
15 0 Open
Errors & debugging easy

How to Use try except ValueError in Python to Parse Numbers

Convert strings to integers safely with try/except ValueError and TypeError, returning a value-or-error tuple.

try-except valueerror error-handling
Python
def parse_number(text):
    """Safely convert a string to an integer, handling errors gracefully."""
    try:
        value = int(text)
        return value, None
    except ValueError as error:
        return None, f"Conversion failed: {error}"
    except TypeError as error:
        return None, f"Wrong type provided…
13 0 Open
Errors & debugging easy

How to catch ValueError in Python and print a friendly message

This code defines a function that safely converts text to an integer, catches ValueError, and prints a friendly message instead of crashing.

exception handling valueerror try except
Python
def parse_number(text):
    try:
        return int(text)
    except ValueError:
        print("Oops! That's not a valid number.")
        return None

if __name__ == "__main__":
    result = parse_number("abc")
    if result is None:
        print("Parsing failed.")
    else:
        print(f"Parsed value: {result}")
12 0 Open
Errors & debugging easy

Try Except ValueError in Python: Handle Conversion Errors

Catch ValueError exceptions when converting strings to integers or performing arithmetic, returning None on failure instead of crashing.

try-except valueerror exception
Python
def convert_to_int(value):
    try:
        return int(value)
    except ValueError as error:
        print(f"Conversion failed: {error}")
        print(f"Problem value was: {repr(value)}")
        return None


def divide_numbers(numerator, denominator):
    try:
        result = numerator / denominator
        retur…
14 0 Open
Errors & debugging easy

Use pprint for Nested Structure Debug Output in Python

Pretty-print nested dictionaries and lists with pprint for readable, organized debug output.

pprint debugging nested-structure
Python
from pprint import pprint

def build_nested_structure():
    """Create a sample nested data structure for demonstration."""
    return {
        "project": "DataPipeline",
        "config": {
            "inputs": ["raw_1.json", "raw_2.json"],
            "processing": {
                "steps": ["clean", "transform",…
15 0 Open

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