Reference library

Python Code Samples

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

27 matches
Strings & text medium

Convert Natural Language Dates to Datetime in Python

Parse common natural language date phrases like 'tomorrow' or 'in 3 days' into Python datetime objects using regex and timedelta.

datetime natural-language regex
Python
from datetime import datetime, timedelta
import re

def parse_natural_date(text: str) -> datetime:
    """Convert common natural language date expressions to datetime objects."""
    now = datetime.now()
    text = text.lower().strip()
    
    # Handle relative dates
    patterns = {
        r"today": now,
        r"…
61 0 Open
Files & data medium

Calculate Working Hours Between Two Dates in Python

Compute total business hours (Mon-Fri, 09:00-17:00) between two datetime objects, excluding weekends and non-working hours.

datetime working hours business hours
Python
from datetime import datetime, timedelta

def work_hours_between(start: datetime, end: datetime) -> float:
    """Calculate total working hours between two datetimes (Mon-Fri, 09:00-17:00)."""
    def is_workday(d: datetime) -> bool:
        return d.weekday() < 5
    
    total_hours = 0.0
    current = start
    whi…
49 0 Open
Dictionaries & sets easy

Serialize Python dict to JSON with custom default for datetime

Convert a Python dict containing datetime and set objects into JSON by providing a custom default serializer.

json datetime serialization
Python
import json
from datetime import datetime

def custom_serializer(obj):
    if isinstance(obj, datetime):
        return obj.isoformat()
    if isinstance(obj, set):
        return list(obj)
    return str(obj)

data = {
    "name": "Alice",
    "created_at": datetime(2024, 3, 15, 10, 30, 45),
    "tags": {"python", "j…
15 0 Open
OOP & classes easy

How to Build an In-Memory CRUD Repository Class in Python

Define a Python Repository class that stores objects in a dictionary and supports create, read, update, delete, and list operations.

repository crud oop
Python
class Repository:
    def __init__(self):
        self._data = {}

    def create(self, key, value):
        self._data[key] = value
        return key

    def read(self, key):
        return self._data.get(key)

    def update(self, key, value):
        if key not in self._data:
            raise KeyError(f"Key '{ke…
14 0 Open
OOP & classes easy

How to Copy Class Instances in Python: Shallow vs Deep Copy

Use copy.copy and copy.deepcopy to clone class instances, showing how nested objects are shared or duplicated.

copy deepcopy shallow copy
Python
import copy


class Config:
    def __init__(self):
        self.settings = {"theme": "dark", "language": "en"}


if __name__ == "__main__":
    original = Config()

    shallow_copy = copy.copy(original)
    deep_copy = copy.deepcopy(original)

    shallow_copy.settings["theme"] = "light"
    deep_copy.settings["them…
13 0 Open
OOP & classes easy

How to Define a Simple Python Class with __init__ and __repr__

Define a basic Python class with an __init__ method to set instance attributes and a __repr__ method for a readable representation of objects.

classes oop init
Python
class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def __repr__(self):
        return f"Person(name={self.name!r}, age={self.age!r})"


if __name__ == "__main__":
    person = Person("Alice", 30)
    print(person)
15 0 Open
OOP & classes easy

How to Implement Rich Comparison Ordering in Python Classes

This code demonstrates how to implement rich comparison operators (like <, <=, >, >=, ==, !=) in a Python class by defining __lt__ and __eq__, enabling sorting and ordering of custom objects.

rich comparison sorting operators
Python
class Task:
    def __init__(self, priority, name):
        self.priority = priority
        self.name = name

    def __lt__(self, other):
        if not isinstance(other, Task):
            return NotImplemented
        return self.priority < other.priority

    def __eq__(self, other):
        if not isinstance(oth…
12 0 Open
OOP & classes medium

How to Implement the Command Pattern with Undo in Python

Python code demonstrating the Command design pattern with undo and redo support using action objects and a history manager.

command-pattern design-patterns oop
Python
class Command:
    def execute(self):
        raise NotImplementedError

    def undo(self):
        raise NotImplementedError


class AddTextCommand(Command):
    def __init__(self, document, text):
        self.document = document
        self.text = text

    def execute(self):
        self.document.append(self.tex…
13 0 Open
OOP & classes medium

How to Implement the State Pattern in Python

Implement the State design pattern in Python by delegating behavior to state objects, letting a media player change actions dynamically without if-else chains.

state-pattern design-patterns oop
Python
class State:
    def play(self, player): pass
    def pause(self, player): pass
    def stop(self, player): pass

class PlayingState(State):
    def play(self, player):
        return "Already playing"
    def pause(self, player):
        player.state = PausedState()
        return "Pausing playback"
    def stop(self…
12 0 Open
OOP & classes medium

Visitor Pattern in Python: Double Dispatch Demo

Demonstrates the Visitor design pattern with double dispatch so operations on Dog and Cat objects are selected at runtime without modifying their classes.

visitor-pattern design-patterns double-dispatch
Python
class Animal:
    def accept(self, visitor):
        visitor.visit(self)

class Dog(Animal):
    def speak(self):
        return "Woof!"

class Cat(Animal):
    def speak(self):
        return "Meow!"

class SoundVisitor:
    def visit(self, animal):
        if isinstance(animal, Dog):
            return self.visit_do…
11 0 Open
Comprehensions & generators medium

How to stream parse JSON arrays in Python

This code demonstrates two generators: one that streams a JSON array as individual chunks, and another that incrementally parses those chunks into Python objects using json.JSONDecoder.

json generator streaming
Python
import json


def json_array_stream(items):
    """Generator that yields JSON-encoded values one at a time."""
    yield "["
    for i, item in enumerate(items):
        if i > 0:
            yield ","
        yield json.dumps(item)
    yield "]"


def parse_json_stream(stream):
    """Consumes a stream of JSON fragme…
14 0 Open
AI & LLM integration patterns easy

Serialize and Format Data for LLM Prompts in Python

Use dataclasses and the json module to convert Python objects to JSON strings, parse them back, and format structured data into prompt-friendly text for LLM calls.

dataclasses json llm
Python
import json
from dataclasses import dataclass, asdict


@dataclass
class Recipe:
    """Simple data model to represent a recipe."""
    name: str
    cuisine: str
    prep_minutes: int


def to_json(recipe: Recipe) -> str:
    """Serialize a Recipe to a JSON string."""
    return json.dumps(asdict(recipe), indent=2)

…
14 0 Open
Data pipelines & processing medium

Normalize Timestamps to UTC DateTime in Python

Convert timestamps in multiple formats to UTC-aware datetime objects using datetime.strptime and astimezone.

datetime timezone utc
Python
from datetime import datetime, timezone

raw_timestamps = [
    "2024-01-15 14:30:00+02:00",
    "17/05/2024 09:15:00 -0500",
    "2024-03-01T22:45:00Z",
    "2024-06-20 08:00:00+09:30"
]

def parse_and_convert(ts: str) -> datetime:
    normalized_ts = ts.strip().replace("Z", "+00:00")
    formats = [
        "%Y-%m-%…
14 0 Open
Git + Python easy

How to Make a Shallow Clone of an Object in Python

Demonstrates using copy.copy() to create a shallow clone of a Python object, showing how nested mutable data is shared while top-level attributes are independent.

copy shallow-copy clone
Python
import copy


class Config:
    def __init__(self):
        self.settings = {"volume": 50}
        self.user = "admin"


def demonstrate_shallow_copy():
    original = Config()
    shallow = copy.copy(original)

    # Mutating nested object is visible in both (shallow copy share it)
    shallow.settings["volume"] = 90…
14 0 Open
Cloud + Python easy

Create a Cloud Storage Helper Class in Python

Build a simple local file-based helper class that mimics cloud storage operations like save, load, and list JSON objects.

cloud-storage json file-io
Python
import datetime
import json
from pathlib import Path


class CloudDataHelper:
    """Simple helper for reading/writing JSON files in a cloud-style folder."""

    def __init__(self, base_dir: str = "cloud_storage"):
        self.base_dir = Path(base_dir)
        self.base_dir.mkdir(exist_ok=True)

    def save_json(se…
16 0 Open
Cloud + Python medium

Mock S3 List Objects Paginator in Python

This code implements a mock S3 paginator that yields pages of object keys, mimicking the behavior of boto3's list_objects_v2 paginator for local testing.

s3 mock paginator
Python
import json
from datetime import datetime, timezone


class MockS3Paginator:
    """A mock S3 list_objects_v2 paginator returning pages of keys."""

    def __init__(self, bucket, all_keys, page_size=1000):
        self.bucket = bucket
        self.all_keys = all_keys
        self.page_size = page_size

    def pagina…
13 0 Open
Concurrency & performance medium

How to Use a Weakref Cache to Avoid Memory Leaks in Python

This code demonstrates building a value cache with weakref.WeakValueDictionary so objects can be garbage collected when no longer referenced, preventing memory leaks.

weakref caching memory
Python
import weakref
import gc


class ExpensiveObject:
    def __init__(self, name):
        self.name = name

    def __repr__(self):
        return f"ExpensiveObject('{self.name}')"


class ObjectCache:
    def __init__(self):
        self._cache = weakref.WeakValueDictionary()

    def get_or_create(self, name):
       …
13 0 Open
Testing & modern typing easy

How to Use TypedDict and Dataclasses in Python

Create typed data structures with TypedDict and dataclasses, then use them as helper functions for describing objects in a type-safe way.

typing typdict dataclass
Python
from typing import TypedDict, NotRequired, Optional
from dataclasses import dataclass


class User(TypedDict):
    name: str
    age: NotRequired[int]
    email: Optional[str]


@dataclass
class Product:
    id: int
    title: str
    price: float = 0.0


def describe_user(user: User) -> str:
    age = user.get("age",…
12 0 Open
System design patterns easy

Builder pattern for mocking complex objects in Python

Use a fluent Builder to construct realistic mock objects with defaults, enabling readable test data setup.

builder-pattern mock-data testing
Python
class User:
    def __init__(self):
        self.name = "default"
        self.age = 0
        self.email = "unknown@example.com"
        self.address = "unknown"

    def __repr__(self):
        return f"User(name={self.name!r}, age={self.age}, email={self.email!r}, address={self.address!r})"


class UserBuilder:
   …
16 0 Open
System design patterns medium

How to Implement the Abstract Factory Pattern in Python

Implements the Abstract Factory pattern to create families of related GUI objects (buttons, checkboxes) without specifying their concrete classes.

abstract-factory design-patterns system-design
Python
from abc import ABC, abstractmethod


class Button(ABC):
    @abstractmethod
    def render(self):
        pass


class Checkbox(ABC):
    @abstractmethod
    def render(self):
        pass


class WindowsButton(Button):
    def render(self):
        return "Rendering Windows-style button"


class WindowsCheckbox(Chec…
13 0 Open
System design patterns medium

How to Implement the Flyweight Pattern in Python

Implements the Flyweight design pattern to share immutable intrinsic state (character + font) across many document objects, reducing memory usage.

flyweight design-patterns memory-optimization
Python
class Character:
    """Flyweight - stores only intrinsic state (shared)."""

    def __init__(self, char: str, font: str):
        self.char = char
        self.font = font

    def render(self, size: int) -> str:
        return f"{self.char}_{self.font}_{size}"


class CharacterFactory:
    """Flyweight factory - ma…
15 0 Open
System design patterns easy

How to Implement the Prototype Pattern with Deep Copy in Python

Implements the Prototype design pattern using copy.deepcopy to clone complex objects without sharing mutable state.

prototype-pattern deepcopy dataclasses
Python
import copy
from dataclasses import dataclass, field
from typing import List

@dataclass
class Engine:
    horsepower: int

@dataclass
class Car:
    brand: str
    engine: Engine
    accessories: List[str] = field(default_factory=list)

def clone_prototype(car: Car) -> Car:
    return copy.deepcopy(car)

if __name__ …
13 0 Open
API design & gRPC medium

How to Validate Request Body JSON Against a Schema in Python

Build a lightweight schema validator to check required fields, types, string lengths, allowed values, and nested objects in a JSON request body.

api-validation json schema-validation
Python
import json


def validate_against_schema(data, schema, path=""):
    errors = []

    if not isinstance(data, dict):
        errors.append(f"{path}: expected object, got {type(data).__name__}")
        return errors

    for field, rules in schema.items():
        field_path = f"{path}.{field}" if path else field

  …
15 0 Open
API design & gRPC easy

Sort Python list by query param order_by

Sort a list of dataclass objects dynamically by a field name passed as a query param, with asc/desc direction support.

sorting dataclasses api
Python
from dataclasses import dataclass


@dataclass
class Item:
    name: str
    price: int


def sort_items(items, order_by, direction="asc"):
    if order_by not in ("name", "price"):
        raise ValueError(f"Unsupported sort field: {order_by}")

    reverse = direction.lower() == "desc"
    return sorted(items, key=l…
11 0 Open

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Each section groups closely related Python snippets.

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.