Reference library

Errors & debugging

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

39 matches
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 Use try except else finally in Python

Demonstrates the correct order of try/except/else/finally blocks in Python with a safe division function.

try-except error-handling flow-control
Python
def safe_divide(numerator, denominator):
    try:
        result = numerator / denominator
    except ZeroDivisionError:
        print("Error: Cannot divide by zero!")
    except TypeError:
        print("Error: Both arguments must be numbers!")
    else:
        print(f"Division successful: {numerator} / {denominator…
14 0 Open
Errors & debugging easy

How to Validate JSON in Python and Catch JSONDecodeError

A robust Python function that attempts to parse JSON strings and returns a boolean plus either the parsed data or a descriptive error message when decoding fails.

json validation jsondecodeerror
Python
import json

def validate_json(json_string):
    """Try to parse JSON, return (is_valid, data_or_error)."""
    try:
        data = json.loads(json_string)
        return True, data
    except json.JSONDecodeError as e:
        return False, f"Invalid JSON: {e}"

if __name__ == "__main__":
    test_inputs = [
        …
12 0 Open
Errors & debugging easy

How to Validate an Email Address and Raise ValueError in Python

This code defines a validate_email function that checks an email address against a regex pattern and several rules, raising ValueError with a specific reason when invalid.

validation regex errors
Python
import re

def validate_email(email: str) -> str:
    """Validate an email address and return it if valid, otherwise raise ValueError."""
    if not isinstance(email, str):
        raise ValueError("Email must be a string")
    if len(email) > 254:
        raise ValueError("Email length exceeds 254 characters")

    #…
14 0 Open
Errors & debugging easy

How to Wrap a Low Level Error in a Higher Level Exception in Python

Wrap low-level exceptions in a higher-level exception while preserving the original cause with the `from` keyword.

exception-chaining error-handling wrapping
Python
class LowLevelError(Exception):
    pass

class HighLevelError(Exception):
    pass

def low_level_operation():
    raise LowLevelError("storage drive failed to respond")

def high_level_operation():
    try:
        low_level_operation()
    except LowLevelError as e:
        raise HighLevelError(f"database operation…
13 0 Open
Errors & debugging easy

How to check for None and raise helpful errors in Python

A defensive function that explicitly validates data, keys, and values — raising descriptive ValueError and KeyError exceptions before returning a result.

none error-handling validation
Python
def get_value(data, key):
    if data is None:
        raise ValueError("data cannot be None")
    if key not in data:
        raise KeyError(f"key '{key}' not found in data")
    result = data[key]
    if result is None:
        raise ValueError(f"value for key '{key}' is None")
    return result


if __name__ == "__…
15 0 Open
Errors & debugging easy

How to define an exception hierarchy for domain errors in Python

Create a custom exception hierarchy with a base DomainError class and specific subclasses to handle validation, not-found, permission, and concurrency errors cleanly in Python apps.

exceptions domain-errors error-handling
Python
class DomainError(Exception):
    """Base class for all domain errors."""
    pass

class ValidationError(DomainError):
    """Raised when input data fails validation rules."""
    pass

class NotFoundError(DomainError):
    """Raised when a requested entity does not exist."""
    pass

class PermissionDeniedError(Dom…
14 0 Open
Errors & debugging easy

How to handle ZeroDivisionError in Python

Wrap a division operation in try/except to return None or a friendly message instead of crashing when dividing by zero.

zero-division exception-handling try-except
Python
def safe_divide(a, b):
    """Return a/b if possible, else None when dividing by zero."""
    try:
        return a / b
    except ZeroDivisionError:
        return None


def safe_divide_with_message(a, b):
    """Return a how-to message on divide-by-zero error."""
    try:
        return a / b
    except ZeroDivisio…
13 0 Open
Errors & debugging easy

Implement a Context Manager That Suppresses Exceptions in Python

Shows how to write a custom context manager that catches specified exceptions and optionally re-raises others, plus the stdlib contextlib.suppress alternative.

context-manager exception-handling with-statement
Python
import contextlib

class SuppressExceptions:
    def __init__(self, *exceptions):
        self.exceptions = exceptions

    def __enter__(self):
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        if exc_type is None:
            return False
        if not self.exceptions or exc_type in se…
12 0 Open
Errors & debugging easy

Log to stderr with Python logging basicConfig

Configure Python's logging module to send all log messages to standard error (stderr) instead of the default stderr, with a readable timestamped format.

logging stderr debugging
Python
import logging

def main():
    logging.basicConfig(
        level=logging.DEBUG,
        format="%(asctime)s — %(name)s — %(levelname)s — %(message)s",
        stream=__import__("sys").stderr,
    )
    logger = logging.getLogger("example")
    logger.debug("Debug message")
    logger.info("Info message")
    logger.…
13 0 Open
Errors & debugging easy

Python dict try-except KeyError EAFP vs LBYL

Compare EAFP (try-except) and LBYL (if-in-check) styles for safely accessing dictionary keys, with working examples in Python.

eafp lbyl dictionary
Python
def safe_get_lbyl(d, key):
    if key in d:
        return d[key]
    return "default-lbyl"

def safe_get_eafp(d, key):
    try:
        return d[key]
    except KeyError:
        return "default-eafp"

if __name__ == "__main__":
    data = {"name": "Alice", "age": 30}
    print("LBYL:", safe_get_lbyl(data, "missing")…
14 0 Open
Errors & debugging easy

Retry an Operation on ConnectionError in Python

Retries an unreliable operation a fixed number of times when it raises a transient ConnectionError, with a small delay between attempts.

retry connection-error error-handling
Python
import time
import random


def unreliable_operation():
    """Simulates an operation that throws ConnectionError occasionally."""
    if random.random() < 0.6:
        raise ConnectionError("Transient network failure")
    return "Operation succeeded"


def retry_operation(attempts=4, delay=0.2):
    """Retries the o…
15 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

Browse by section

Each section groups closely related Python snippets.

Errors & debugging — Python code examples

What you will find here

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.

Samples vs tutorials and challenges

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.