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Python Code Samples

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

266 matches
Lists & loops easy

How to Interleave Two Lists in Python Until One List Exhausted

Interleave elements from two lists pairwise using zip, stopping when either list runs out of items.

zip lists interleave
Python
def interleave(a, b):
    result = []
    for x, y in zip(a, b):
        result.extend([x, y])
    return result

if __name__ == "__main__":
    list1 = [1, 2, 3, 4, 5]
    list2 = ["a", "b", "c"]
    print(interleave(list1, list2))
13 0 Open
Lists & loops easy

How to Parse Bullet Points in Python

Extract bullet point items from raw text by splitting lines and filtering those that start with '- ' or '* '.

text parsing bullet points loops
Python
def parse_bullet_points(text):
    """Extract bullet point items from raw text."""
    lines = text.splitlines()
    items = []
    
    for line in lines:
        stripped = line.strip()
        if stripped.startswith("- ") or stripped.startswith("* "):
            item = stripped[2:]
            if item:
           …
13 0 Open
Lists & loops easy

How to Reverse a List in Place Without Using reverse() in Python

A two-pointer while loop swaps elements from both ends toward the center to reverse a list in place without creating a copy.

lists in-place two-pointer
Python
def reverse_list_in_place(lst):
    left = 0
    right = len(lst) - 1
    while left < right:
        lst[left], lst[right] = lst[right], lst[left]
        left += 1
        right -= 1


if __name__ == "__main__":
    my_list = [1, 2, 3, 4, 5]
    print("Original:", my_list)
    reverse_list_in_place(my_list)
    prin…
14 0 Open
Lists & loops easy

How to Truncate a List to Max Length in Python (Keep Head)

This code returns a new list containing only the first max_length items from the original list, using Python's slice syntax.

list slicing truncate
Python
from typing import List

def truncate_head(lst: List[object], max_length: int) -> List[object]:
    """Return a new list with at most max_length items from the head."""
    if max_length < 0:
        raise ValueError("max_length must be non-negative")
    return lst[:max_length]

if __name__ == "__main__":
    # Examp…
14 0 Open
Lists & loops easy

Round Robin Merge Multiple Lists in Python

Merge multiple lists by taking one element from each in turn, stopping when all lists are exhausted.

lists merge interleave
Python
from itertools import cycle

def round_robin_merge(*lists):
    """Merge multiple lists by taking one element from each in turn."""
    result = []
    max_len = max(len(lst) for lst in lists)
    
    for i in range(max_len):
        for lst in lists:
            if i < len(lst):
                result.append(lst[i])…
14 0 Open
Lists & loops easy

Truncate List Keeping Last N Elements in Python

Return a new list containing only the last N elements from a sequence, handling edge cases like zero or oversized counts.

list slicing sequence
Python
def truncate(seq, keep_last_n):
    """Return a new list keeping only the last n elements."""
    if keep_last_n <= 0:
        return []
    return list(seq)[-keep_last_n:]


if __name__ == "__main__":
    data = [10, 20, 30, 40, 50, 60]
    print(truncate(data, 3))
    print(truncate(data, 0))
    print(truncate(data…
12 0 Open
Functions & basics easy

Chain Generators with yield from in Python

Combine multiple generators into one seamless sequence using the `yield from` delegation syntax in Python.

generators yield delegation
Python
def numbers():
    yield 1
    yield 2
    yield 3

def letters():
    yield 'a'
    yield 'b'
    yield 'c'

def combined():
    yield from numbers()
    yield from letters()

if __name__ == "__main__":
    print(list(combined()))
16 0 Open
Functions & basics easy

How to Build Partial Functions with functools.partial in Python

Create reusable partial functions that pre-fill arguments using functools.partial, like making square and cube functions from a general power function.

functools partial higher-order-functions
Python
```python
from functools import partial

def power(base, exponent):
    """Calculate base raised to the exponent power."""
    return base ** exponent

# Create partial functions for common powers
square = partial(power, exponent=2)
cube = partial(power, exponent=3)

if __name__ == "__main__":
    squares = [square(x)…
13 0 Open
Functions & basics easy

How to Create an Iterator Class with Dunder Methods in Python

A minimal Counter class implementing __iter__ and __next__ to act as a self-iterating iterator, yielding numbers from start to end-1.

iterators dunder-methods class
Python
class Counter:
    def __init__(self, start=0, end=5):
        self.current = start
        self.end = end

    def __iter__(self):
        return self

    def __next__(self):
        if self.current >= self.end:
            raise StopIteration
        value = self.current
        self.current += 1
        return val…
14 0 Open
Functions & basics easy

How to Return Multiple Values from a Python Function

This code demonstrates how a Python function can return multiple values as a tuple, and how to unpack that tuple into individual variables.

functions tuple return-values
Python
def get_user_stats(name, score, level):
    """Return multiple values as a tuple."""
    return name, score, level

if __name__ == "__main__":
    result = get_user_stats("Alice", 95, 3)
    print(result)
    print(type(result))
    
    # Unpacking into individual variables
    player_name, player_score, player_level…
16 0 Open
Functions & basics easy

How to Use Python's next() Builtin with a Default Sentinel Value

A wrapper function that returns the next item from an iterator, or a default sentinel value when the iterator is exhausted.

next iterator sentinel
Python
def get_next_or_default(iterator, default=None):
    """Return the next item from an iterator, or default if exhausted."""
    return next(iterator, default)


if __name__ == "__main__":
    fruits = iter(["apple", "banana", "cherry"])
    
    print(get_next_or_default(fruits))           # apple
    print(get_next_or…
14 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 medium

How to Re-raise Exceptions with 'raise from' in Python

Shows how to re-raise an exception with explicit context chaining using the 'raise ... from ...' syntax, so the original cause is preserved for debugging.

exceptions raise-from error-handling
Python
def divide_with_chain(a, b):
    try:
        result = a / b
        return result
    except ZeroDivisionError as original_error:
        # Re-raise with explicit chaining context
        raise ValueError("Cannot divide by zero") from original_error

def explain_chain():
    try:
        divide_with_chain(10, 0)
    …
12 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 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 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

Redact secrets from log message formatter in Python

Build a custom logging.Formatter that masks passwords, API keys, and credit card numbers in log output.

logging redaction security
Python
import re
import logging

class RedactingFormatter(logging.Formatter):
    """Formatter that masks sensitive data in log messages."""
    
    SENSITIVE_PATTERNS = [
        (re.compile(r'password[=:]\s*\S+', re.IGNORECASE), 'password=[REDACTED]'),
        (re.compile(r'api[_-]?key[=:]\s*\S+', re.IGNORECASE), 'api_key…
14 0 Open
Files & data medium

Build a Secure Local Password Vault with Encrypted Storage in Python

A Python class that stores and retrieves passwords in an encrypted JSON file using Fernet symmetric encryption from the cryptography library.

encryption security passwords
Python
import json
import os
import base64
import hashlib
from cryptography.fernet import Fernet
from getpass import getpass

class PasswordVault:
    def __init__(self, vault_file="vault.json", key_file="vault.key"):
        self.vault_file = vault_file
        self.key_file = key_file
        self.key = self._load_or_creat…
50 0 Open
Files & data medium

Download Files from Internet with Progress Bar in Python

Download a file from the internet while displaying a text progress bar in the terminal.

urllib download progress bar
Python
import urllib.request
import sys

def download_with_progress(url, filename):
    """Download a file with a simple text progress bar."""
    def report_hook(block_count, block_size, total_size):
        downloaded = block_count * block_size
        if total_size > 0:
            percent = min(100, int(downloaded * 100 …
54 0 Open
Files & data medium

Extract Hyperlinks from Word Documents in Python

Parses a .docx file using Python's standard library to extract every hyperlink's display text and target URL.

docx hyperlinks xml
Python
import zipfile
from pathlib import Path
import xml.etree.ElementTree as ET

def extract_hyperlinks_from_docx(filepath: str) -> list[dict]:
    """
    Extract all hyperlinks from a .docx file.
    Returns a list of dicts with 'text' and 'target' keys.
    """
    hyperlinks = []
    with zipfile.ZipFile(Path(filepath)…
88 0 Open
Files & data easy

Extract a Single Member from a ZIP Archive in Python

Extract one specific file from a ZIP archive to an output directory using the standard zipfile and pathlib modules.

zipfile zip extraction
Python
import zipfile
from pathlib import Path

def extract_single_member(zip_path: str, member_name: str, output_dir: str = ".") -> Path:
    """Extract a single member from a zip archive to the output directory."""
    with zipfile.ZipFile(zip_path, "r") as archive:
        archive.extract(member_name, output_dir)
    retu…
20 0 Open
Files & data easy

Generate Timesheet Reports from Daily Logs in Python

Aggregate daily log entries by project and produce a formatted timesheet report using Python's standard library.

timesheet reporting aggregation
Python
import json
from pathlib import Path
from collections import defaultdict

def generate_timesheet_report(daily_logs: list[dict]) -> str:
    """
    Generate a timesheet report from daily log entries.
    
    Args:
        daily_logs: List of dicts with 'date', 'project', 'hours', 'task' keys
    
    Returns:
       …
46 0 Open
Files & data easy

How to Archive Old Files by Age in Python

Move files older than a specified number of days from a source directory to an archive directory using Python's pathlib and shutil modules.

file-archiving pathlib shutil
Python
import os
import shutil
import time
from pathlib import Path

def archive_old_files(source_dir: str, archive_dir: str, days_old: int) -> None:
    cutoff_time = time.time() - (days_old * 86400)  # 86400 seconds in a day
    archive_path = Path(archive_dir)
    archive_path.mkdir(parents=True, exist_ok=True)

    for i…
48 0 Open
Files & data easy

How to Convert Images Between Formats in Python

Use the Pillow library to open an image from one file format and save it to another, with error handling for missing files or conversion issues.

pillow image conversion file i/o
Python
from PIL import Image
import sys

def convert_image_format(input_path, output_path):
    try:
        img = Image.open(input_path)
        img.save(output_path)
        print(f"Converted {input_path} to {output_path}")
    except FileNotFoundError:
        print(f"Error: File {input_path} not found")
        sys.exit(…
41 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.