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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

316 matches
Errors & debugging easy

Handle ValueError and ZeroDivisionError in Python with try except

Learn how to catch ValueError and ZeroDivisionError in Python with a practical safe_divide function and demonstrate error handling for invalid conversions.

try-except valueerror zerodivisionerror
Python
def safe_divide(numerator, denominator):
    try:
        result = numerator / denominator
    except ValueError as e:
        print(f"ValueError caught: {e}")
        return None
    except ZeroDivisionError:
        print("Cannot divide by zero!")
        return None
    return result

# Test cases
print(safe_divide…
14 0 Open
Errors & debugging easy

How to Assert Preconditions with Descriptive Messages in Python

Use Python's assert statement with a custom message to validate function preconditions and fail fast with clear diagnostics.

assert debugging preconditions
Python
def divide(dividend, divisor):
    assert divisor != 0, f"Divisor must be non-zero, got {divisor!r}"
    return dividend / divisor


if __name__ == "__main__":
    print(divide(10, 2))
    try:
        divide(10, 0)
    except AssertionError as e:
        print(f"AssertionError: {e}")
16 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 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…
14 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…
11 0 Open
Errors & debugging medium

How to Simulate Timeout with Custom TimeoutError in Python

Run a function in a daemon thread and raise a custom TimeoutError if it exceeds a specified time limit.

timeout threading exceptions
Python
import time
from typing import Callable, TypeVar

T = TypeVar("T")


class TimeoutError(Exception):
    """Raised when an operation exceeds its time limit."""

    def __init__(self, message: str = "Operation timed out"):
        self.message = message
        super().__init__(self.message)


def run_with_timeout(func…
13 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 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 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 Input and Raise TypeError in Python

Define a function that checks its argument type and raises a TypeError early with a clear message when given a non-number.

type checking validation typeerror
Python
def validate_number(value):
    if not isinstance(value, (int, float)):
        raise TypeError(f"Expected a number, got {type(value).__name__}")
    return value * 2

if __name__ == "__main__":
    try:
        print(validate_number(5))
        print(validate_number("hello"))
    except TypeError as e:
        print(…
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 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

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 medium

How to parse a traceback to get the last frame in Python

Extracts the innermost frame's file, line, and function name from a Python traceback object.

traceback exceptions debugging
Python
import sys
import traceback


def parse_traceback_last_frame(exc_info):
    """Return the file, line, and function of the last (innermost) frame."""
    _, _, tb = exc_info
    last_tb = tb
    while last_tb.tb_next is not None:
        last_tb = last_tb.tb_next
    filename = last_tb.tb_frame.f_code.co_filename
    l…
14 0 Open
Errors & debugging medium

Implement circuit breaker open after failures demo in Python

A minimal CircuitBreaker class that calls a function and automatically 'opens' after a set number of consecutive failures, blocking further calls with a RuntimeError.

circuit-breaker resilience error-handling
Python
import time
from datetime import datetime


class CircuitBreaker:
    def __init__(self, threshold=3):
        self.threshold = threshold
        self.failure_count = 0
        self.is_open = False

    def call(self, func, *args, **kwargs):
        if self.is_open:
            raise RuntimeError("Circuit is OPEN")
  …
13 0 Open
Files & data easy

Convert File Data to a Dictionary in Python

This function scans a directory and converts each file's metadata (name, size, extension) into a structured dictionary for easy access.

file-metadata pathlib directory
Python
from pathlib import Path

def convert_files_data(directory: str) -> dict:
    data = {}
    base = Path(directory)
    if not base.exists():
        return data
    for file in base.iterdir():
        if file.is_file():
            data[file.name] = {
                "size": file.stat().st_size,
                "exten…
17 0 Open
Files & data easy

File Data Helper Functions in Python

Read and write text and JSON files, and list files in a directory, using pathlib-based helper functions.

file-io pathlib json
Python
from pathlib import Path

def load_text_file(filepath):
    """Read a text file and return its contents as a string."""
    path = Path(filepath)
    if not path.exists():
        raise FileNotFoundError(f"File not found: {filepath}")
    return path.read_text(encoding="utf-8")

def save_text_file(filepath, content):
…
15 0 Open
Files & data easy

How to Decompress a gzip File in Python

This code provides a function to decompress a .gz file, writing the decompressed content to a new file and returning the text, using the gzip standard library module.

gzip decompression file-handling
Python
import gzip
from pathlib import Path

def decompress_gzip(filepath: str, output_path: str | None = None) -> str:
    """Decompress a .gz file and return the decompressed content."""
    input_path = Path(filepath)
    if output_path is None:
        output_path = str(input_path.with_suffix(""))
    
    with gzip.open…
13 0 Open
Files & data easy

How to Filter CSV Rows by Column Value in Python

Filter CSV rows based on a column value condition using the standard csv module and a lambda function.

csv filter file-io
Python
import csv

def filter_csv(input_file, output_file, column, condition):
    with open(input_file, newline='', encoding='utf-8') as infile, \
         open(output_file, 'w', newline='', encoding='utf-8') as outfile:
        reader = csv.DictReader(infile)
        fieldnames = reader.fieldnames
        writer = csv.Dict…
20 0 Open
Files & data easy

How to Parse JSON, TXT, and CSV Files in Python

This code provides simple functions to read and parse JSON, text, and CSV files using Python's standard library, returning native data structures.

json csv file parsing
Python
import json
from pathlib import Path

def parse_json_file(filepath):
    """Read and parse a JSON file, returning its contents."""
    path = Path(filepath)
    with path.open('r', encoding='utf-8') as f:
        return json.load(f)

def parse_txt_lines(filepath):
    """Read a text file and return non-empty stripped …
16 0 Open
Files & data easy

How to Read a JSON File into a Dictionary in Python

Load a JSON file into a Python dictionary using the json.load() function with proper file handling and UTF-8 encoding.

json file-io dictionary
Python
import json
from pathlib import Path

def read_json_file(filepath: str) -> dict:
    """Read a JSON file and return its contents as a dictionary."""
    path = Path(filepath)
    with path.open("r", encoding="utf-8") as f:
        data = json.load(f)
    return data

if __name__ == "__main__":
    # Create a sample JS…
13 0 Open
Files & data easy

How to Read and Write Text Files in Python

This code provides simple helper functions to save and load text files using Python's standard pathlib library.

file-io pathlib text-files
Python
from pathlib import Path


def save_text_data(filename: str, content: str) -> None:
    file_path = Path(filename)
    file_path.write_text(content, encoding="utf-8")


def load_text_data(filename: str) -> str:
    file_path = Path(filename)
    return file_path.read_text(encoding="utf-8")


if __name__ == "__main__":…
14 0 Open
Files & data easy

How to Record Audio from Your Microphone in Python

Record audio from your default microphone using PyAudio and save it as a WAV file with a simple reusable function.

audio pyaudio microphone
Python
import pyaudio
import wave

def record_audio(filename: str, duration: int = 5, sample_rate: int = 44100, chunk: int = 1024):
    """Record audio from default microphone and save as WAV file."""
    audio_format = pyaudio.paInt16  # 16-bit resolution
    channels = 1  # Mono
    
    p = pyaudio.PyAudio()
    
    stre…
48 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.