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Python Code Samples

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

159 matches
Strings & text easy

How to Process Text in Python

This code processes multiline text by splitting lines, stripping whitespace, counting words and characters, and converting to lowercase.

text-processing strings beginner
Python
def process_text(text):
    lines = text.split("\n")
    clean_lines = []
    for line in lines:
        stripped = line.strip()
        if stripped:
            tokens = stripped.split()
            title_case = stripped.lower()
            clean_lines.append({
                "raw": stripped,
                "word_c…
12 0 Open
Lists & loops easy

How to Process Text Lines with Lists and Loops in Python

This code processes a list of text lines by stripping whitespace, converting to uppercase, and reporting character counts per line and totals.

lists loops text-processing
Python
def process_text(lines):
    """Convert a list of text lines to uppercase and report line statistics."""
    processed = []
    total_chars = 0
    
    for index, line in enumerate(lines, start=1):
        cleaned = line.strip().upper()
        processed.append(cleaned)
        total_chars += len(cleaned)
        pri…
12 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 Assert an Invariant After a Complex Transformation in Python

Use assert to verify that a multi-step transformation preserves a mathematical invariant, catching regressions early.

assert debugging invariants
Python
def transform_value(value):
    """Apply several transformations to a value."""
    doubled = value * 2
    shifted = doubled + 10
    normalized = shifted / 2
    return int(normalized)

def assert_invariant(value):
    """Assert that the transformation preserves a key invariant."""
    original = value
    transform…
13 0 Open
Errors & debugging easy

How to Dump a Debugging Repr for Unknown Types in Python

Build a fallback repr that shows dataclass fields or object attributes for any value, handy when debugging unknown types.

debugging repr dataclasses
Python
import dataclasses
from typing import Any


@dataclasses.dataclass
class Sample:
    name: str
    values: list[int]


def dump_repr(obj: Any) -> str:
    """Return a concise but complete repr for debugging unknown types."""
    if dataclasses.is_dataclass(obj):
        fields = ", ".join(
            f"{field.name}={…
12 0 Open
Errors & debugging easy

How to Emit Deprecation Warnings in Python

Use the warnings module to mark legacy classes and methods as deprecated, letting users know to switch to newer APIs.

warnings deprecation debugging
Python
import warnings


class OldAPI:
    def __init__(self):
        warnings.warn(
            "OldAPI is deprecated; use NewAPI instead.",
            DeprecationWarning,
            stacklevel=2,
        )
        self.data = []

    def add(self, item):
        warnings.warn(
            "OldAPI.add() is deprecated; us…
14 0 Open
Errors & debugging easy

How to Test Exceptions in Python with pytest.raises

Learn the pytest.raises pattern to assert that specific exceptions are raised and validate their messages.

pytest testing exceptions
Python
import pytest


def divide(a: int, b: int) -> float:
    if b == 0:
        raise ValueError("Cannot divide by zero")
    return a / b


def test_divide_by_zero_raises():
    with pytest.raises(ValueError, match="Cannot divide by zero"):
        divide(10, 0)


def test_divide_by_zero_raises_exact_match():
    with py…
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

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…
11 0 Open
Files & data easy

How to Compress a String to Gzip Bytes in Python

Compress a string into gzip-compressed bytes entirely in memory using the standard library gzip module.

gzip compression bytes
Python
import gzip

def compress_to_gzip_bytes(data: str, encoding: str = "utf-8") -> bytes:
    """Compress a string to gzip-compressed bytes in memory."""
    return gzip.compress(data.encode(encoding))

if __name__ == "__main__":
    original = "Hello, world! " * 10
    compressed = compress_to_gzip_bytes(original)
    pr…
13 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…
12 0 Open
Files & data medium

How to Load Pickle Files Safely in Python

This code demonstrates how to load pickle files safely in Python by using a restricted unpickler that only allows specific, trusted classes, preventing arbitrary code execution from untrusted pickles.

pickle security serialization
Python
import pickle

# Default pickle.load is unsafe: it executes arbitrary code when unpickling.
class Unsafe:
    def __reduce__(self):
        return (eval, ("open('/tmp/pickle_demo.txt', 'w').write('pwned')",))

# Create a malicious payload (simulating untrusted source)
malicious_data = pickle.dumps(Unsafe())

# Safe ap…
14 0 Open
Files & data easy

Reassemble File Parts into Original File Bytes in Python

Read sorted part files from a directory and concatenate their bytes into the original file.

file handling binary byte concatenation
Python
import os
import sys
from pathlib import Path

def reassemble_parts(parts_dir: Path, output_path: Path) -> int:
    """
    Reassemble file parts into the original file.

    Args:
        parts_dir: Directory containing the part files
        output_path: Path where the reassembled file will be written

    Returns:
…
12 0 Open
Dictionaries & sets easy

How to Count Word Frequencies in Python with Counter and Sets

This code processes a text string by lowercasing, splitting into words, counting frequencies with Counter, and extracting unique and sorted word lists using sets.

counter sets text-processing
Python
from collections import Counter

def process_text(text):
    words = text.lower().split()
    word_counts = Counter(words)
    unique_words = set(words)
    sorted_words = sorted(unique_words)
    
    return {
        "total_words": len(words),
        "unique_words": len(unique_words),
        "word_frequencies": di…
12 0 Open
OOP & classes easy

Compute Derived Fields with @dataclass __post_init__ in Python

Compute derived fields like distance, area, and perimeter automatically in Python dataclasses using __post_init__ and field(init=False).

dataclasses oop derived-fields
Python
from dataclasses import dataclass, field
from math import sqrt


@dataclass
class Point:
    x: float
    y: float
    distance: float = field(init=False)

    def __post_init__(self):
        self.distance = sqrt(self.x ** 2 + self.y ** 2)


@dataclass
class Rectangle:
    width: float
    height: float
    area: flo…
12 0 Open
OOP & classes easy

Design a Data Helper Class in Python

Create a simple Object-Oriented data helper with DataPoint and Dataset classes that store, describe, and summarize coordinate points.

oop classes data-helper
Python
class DataPoint:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.label = None

    def describe(self):
        """Return a human-readable description of the data point."""
        base = f"DataPoint(x={self.x}, y={self.y})"
        return f"{base}, label='{self.label}'" if self.label e…
15 0 Open
OOP & classes easy

How to Build a Data Helper Class in Python with OOP

Create a beginner-friendly Python class that loads CSV data, filters records by field, and counts entries using object-oriented programming.

oop csv data
Python
class DataHelper:
    """A beginner-friendly OOP helper for handling simple datasets."""
    
    def __init__(self, filename):
        self.filename = filename
        self.data = self._load_data()
    
    def _load_data(self):
        """Load data from a CSV file into a list of dictionaries."""
        import csv
 …
12 0 Open
OOP & classes easy

How to Call a Parent Class __init__ with super() in Python

Shows how to chain __init__ calls through a class hierarchy using super(), so each class sets its own attributes while reusing the parent's initialization logic.

oop inheritance super
Python
class Animal:
    def __init__(self, name, species):
        self.name = name
        self.species = species
        print(f"Animal init: {self.name}, {self.species}")

class Mammal(Animal):
    def __init__(self, name, species, fur_color):
        super().__init__(name, species)
        self.fur_color = fur_color
   …
13 0 Open
OOP & classes easy

How to Compare Dataclass Instances by Specific Fields in Python

Use @dataclass(order=True) with field(compare=False) to control which fields determine ordering and equality between instances.

dataclasses comparison sorting
Python
from dataclasses import dataclass, field
from typing import Any

@dataclass(order=True)
class Person:
    name: str = field(compare=False)
    age: int
    height_cm: float
    priority: int = field(compare=False, default=0)

    def __repr__(self):
        return f"Person(name={self.name!r}, age={self.age}, height={s…
14 0 Open
OOP & classes easy

How to Convert Data Types in Python with a Helper Class

This code defines a beginner-friendly OOP helper class for common data conversions like string to list, list to dict, JSON string, and CSV row, with an advanced subclass for numeric casting.

oop classes data-conversion
Python
class DataConverter:
    """A beginner-friendly helper class for common data conversions."""
    
    def __init__(self, data):
        self.data = data
    
    def to_list(self):
        """Convert string data (comma-separated) to a list."""
        if isinstance(self.data, str):
            return [item.strip() for…
14 0 Open
OOP & classes easy

How to Count Items in a Python Class

A beginner-friendly Inventory class that stores item quantities in a dictionary and provides add, remove, count, and summary methods.

oop classes inventory
Python
class Inventory:
    def __init__(self):
        self.items = {}

    def add(self, item, quantity=1):
        self.items[item] = self.items.get(item, 0) + quantity

    def remove(self, item, quantity=1):
        if item not in self.items:
            raise ValueError(f"{item} not in inventory")
        self.items[it…
13 0 Open
OOP & classes easy

How to Create Immutable Data Classes with frozen=True in Python

Create immutable data classes in Python using @dataclass(frozen=True) to prevent attribute modifications after instantiation.

dataclass frozen immutable
Python
from dataclasses import dataclass

@dataclass(frozen=True)
class Point:
    x: float
    y: float

    def distance_from_origin(self) -> float:
        return (self.x**2 + self.y**2) ** 0.5

if __name__ == "__main__":
    p = Point(3.0, 4.0)
    print(p)
    print(f"Distance from origin: {p.distance_from_origin():.2f}…
13 0 Open
OOP & classes easy

How to Create a Data Helper Class in Python with OOP

A complete OOP example with User, Post, and Blog classes that manage data relationships and provide clear helper methods.

oop classes data-modeling
Python
class User:
    def __init__(self, name, email):
        self.name = name
        self.email = email
        self.posts = []

    def create_post(self, title, content):
        post = Post(title, content, self)
        self.posts.append(post)
        return post

    def get_post_count(self):
        return len(self.p…
12 0 Open
OOP & classes easy

How to Create an Immutable Money Class in Python with dataclasses

Define a frozen dataclass Money that holds an amount and currency, enforces non-negative amounts, and supports safe addition across matching currencies.

dataclass immutable money
Python
from dataclasses import dataclass


@dataclass(frozen=True)
class Money:
    amount: float
    currency: str = "USD"

    def __post_init__(self) -> None:
        if self.amount < 0:
            raise ValueError("amount must be non-negative")

    def add(self, other: "Money") -> "Money":
        if self.currency != o…
16 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.