Reference library

Errors & debugging

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

6 matches
Errors & debugging easy

How to Handle ValueError Exceptions in Python

A beginner-friendly example showing how to catch ValueError and related exceptions with try-except blocks in Python.

exceptions valueerror try-except
Python
def divide_numbers(a, b):
    try:
        result = a / b
        return f"{a} / {b} = {result}"
    except ZeroDivisionError:
        return "Error: Cannot divide by zero."
    except TypeError:
        return "Error: Please provide numbers, not strings."
    except ValueError:
        return "Error: Invalid value de…
15 0 Open
Errors & debugging easy

How to Handle ValueError and Multiple Exceptions in Python

This code demonstrates try/except blocks for beginners, handling ZeroDivisionError, TypeError, and ValueError with two practical functions: dividing numbers and parsing strings to floats.

try-except valueerror exception-handling
Python
def divide_numbers(a, b):
    """Divide two numbers with error handling for beginners."""
    try:
        result = a / b
        print(f"{a} / {b} = {result}")
        return result
    except ZeroDivisionError:
        print(f"Error: Cannot divide {a} by zero!")
    except TypeError:
        print(f"Error: Both argu…
13 0 Open
Errors & debugging easy

How to Handle ValueError in Python (try except)

Learn to catch ValueError and other exceptions with try-except blocks in Python using practical division and string-to-float conversion examples.

try-except valueerror error-handling
Python
def divide_numbers(a, b):
    """Divide two numbers and handle ValueError safely."""
    try:
        result = a / b
        return f"{a} / {b} = {result}"
    except ZeroDivisionError:
        return "Error: Cannot divide by zero!"
    except TypeError:
        return "Error: Both inputs must be numbers!"


def parse…
13 0 Open
Errors & debugging easy

How to Handle ValueError with try-except in Python

Build a beginner-friendly division calculator that catches ValueError and ZeroDivisionError with try-except blocks.

error-handling try-except valueerror
Python
def get_number(prompt="Enter a number: "):
    while True:
        try:
            value = float(input(prompt))
            return value
        except ValueError:
            print("That's not a valid number. Please try again.")


def divide_numbers(a, b):
    try:
        result = a / b
        return result
    ex…
12 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

Split try except ValueError handler for beginners in Python

Demonstrates how to handle ValueError and ZeroDivisionError separately using try/except blocks, with beginner-friendly examples for parsing and division.

try-except valueerror zerodivisionerror
Python
def parse_number(text):
    try:
        number = int(text)
        return f"Parsed successfully: {number}"
    except ValueError as error:
        return f"Conversion failed: {error}"

def divide_numbers(dividend, divisor):
    try:
        result = dividend / divisor
        return f"Division result: {result}"
    e…
14 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.