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Python Code Samples

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

432 matches
Testing & modern typing easy

Generate Fake User Data with Faker in Python

Use the Faker library to generate realistic fake user profiles with names, emails, phone numbers, and addresses for tests or demos.

faker fake-data testing
Python
from faker import Faker

fake = Faker()

def generate_user():
    return {
        "name": fake.name(),
        "email": fake.email(),
        "phone": fake.phone_number(),
        "address": fake.address().replace("\n", ", "),
    }

if __name__ == "__main__":
    user = generate_user()
    for key, value in user.ite…
11 0 Open
Testing & modern typing medium

How to Flag Unexpected Diff Changes in Python

Compares two snapshot lists, detects unexpected differences, and returns a flag indicating whether the snapshot should be updated.

diffing snapshot-testing difflib
Python
import difflib

def snapshot_diff(before, after, intentional_changes=None):
    """Compare snapshots and flag only unexpected differences."""
    intentional_changes = intentional_changes or set()
    diff = list(difflib.unified_diff(before, after, lineterm=""))
    has_unexpected = False

    for line in diff:
      …
17 0 Open
Testing & modern typing easy

How to Group Data by Key in Python with Type Hints

Group a list of dictionaries by a specified key using a typed helper function and print a summary of each group.

grouping type-hints dictionaries
Python
from typing import Any, Dict, List, TypeVar, Union

T = TypeVar("T")

def group_by(data: List[Dict[str, Any]], key: str) -> Dict[Any, List[Dict[str, Any]]]:
    """Group a list of dictionaries by a given key."""
    grouped: Dict[Any, List[Dict[str, Any]]] = {}
    for item in data:
        value = item.get(key)
     …
13 0 Open
Testing & modern typing easy

How to Parse Data with Type Hints in Python

A beginner-friendly helper that parses simple dictionary- or list-like strings into typed Python structures using modern typing annotations.

type-hints parsing typing
Python
from typing import Any, Dict, List, Union


def parse_data(raw: str) -> Union[Dict[str, Any], List[Any], str]:
    """Parse a simple string into structured data using type hints."""
    cleaned = raw.strip()
    
    if not cleaned:
        return {}
    
    if cleaned.startswith("{") and cleaned.endswith("}"):
     …
11 0 Open
Testing & modern typing medium

How to Use Hypothesis Strategies for Lists of Text in Python

Generate random lists of non-empty strings with Hypothesis and verify that joining them with a comma-and-space separator meets expected length and containment invariants.

hypothesis property-based-testing strategies
Python
from hypothesis import given, strategies as st
from hypothesis import example


@given(st.lists(st.text(min_size=1, max_size=10), min_size=1, max_size=5))
def test_joined_string_length(items):
    """Each text is non-empty; a joined string should be at least as long
    as the number of items (separator adds character…
14 0 Open
Testing & modern typing easy

How to Use Python Type Hints for Beginners

Build a data helper module with basic type hints — Union, Optional, List, Dict, Any, and TypeVar — to make your code clearer and safer.

type-hints typing annotations
Python
from typing import Any, Union, Optional, List, Dict, Tuple, Callable, TypeVar

T = TypeVar("T")

def describe(value: Any) -> str:
    """Return a human-readable description of the value's type."""
    if isinstance(value, list):
        return f"list of {len(value)} items"
    elif isinstance(value, dict):
        ret…
14 0 Open
Testing & modern typing medium

How to Validate Data in Python with Typing Hints

Build a runtime validation helper that checks values against Python type hints like Optional, list, and basic types.

typing validation type-hints
Python
from typing import Any, Optional, Union, TypeVar, get_origin, get_args

T = TypeVar("T")

def validate(value: Any, expected_type: type) -> Optional[str]:
    """Returns an error message if value doesn't match expected_type, else None."""
    # Handle Optional[...] types
    origin = get_origin(expected_type)
    if or…
15 0 Open
Testing & modern typing easy

How to use unittest mock side_effect with a sequence in Python

Demonstrates using Mock.side_effect with a list to return different values per call and raise an exception at a specific call in unittest.

unittest mock side_effect
Python
import unittest
from unittest.mock import Mock

class TestMockSideEffectSequence(unittest.TestCase):
    def test_side_effect_sequence(self):
        mock = Mock()
        mock.side_effect = [1, 2, 3, Exception("boom")]
        
        self.assertEqual(mock(), 1)
        self.assertEqual(mock(), 2)
        self.asser…
14 0 Open
Testing & modern typing easy

Table-Driven Tests in Python (unittest)

Run a single unittest test against many input cases using a list of tuples and subTest.

unittest table-driven testing
Python
import unittest

def add(a, b):
    return a + b

class TestAddFunction(unittest.TestCase):

    def test_add_with_table(self):
        cases = [
            (1, 2, 3),
            (-1, 1, 0),
            (0, 0, 0),
            (2, -3, -1),
        ]
        for x, y, expected in cases:
            with self.subTest(x…
16 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:
   …
21 0 Open
System design patterns easy

How to Build an Append-Only Event Store in Python

Implement a simple append-only event store class that stores events in a list and supports retrieval by index range.

event-sourcing append-only event-store
Python
class EventStore:
    def __init__(self):
        self._events = []

    def append(self, event):
        """Append an event to the store."""
        self._events.append(event)

    def get_events(self, start=0, end=None):
        """Return events from start index to end (exclusive)."""
        return self._events[sta…
14 0 Open
System design patterns easy

How to Implement a Simple Event Bus in Python

Create a publish-subscribe event bus using dataclasses and defaultdict to decouple event producers from consumers.

event-bus publish-subscribe design-patterns
Python
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Callable, Dict, List, Set


@dataclass
class EventBus:
    _subscribers: Dict[str, List[Callable]] = field(
        default_factory=lambda: defaultdict(list)
    )

    def subscribe(self, event_type: str, handler: Callable…
18 0 Open
System design patterns medium

Outbox pattern reliable publish in Python with SQLite

Implements a transactional outbox with SQLite, ensuring reliable message publishing by storing events in the same DB transaction as business changes.

outbox sqlite transaction
Python
import sqlite3
from contextlib import contextmanager
from datetime import datetime, timezone


class Outbox:
    def __init__(self, db_path=":memory:"):
        self.conn = sqlite3.connect(db_path)
        self.conn.execute("""
            CREATE TABLE IF NOT EXISTS outbox (
                id INTEGER PRIMARY KEY AUTO…
12 0 Open
System design patterns easy

Round Robin Load Balancer in Python

This code simulates round robin load balancing by distributing a list of requests evenly across a list of servers.

load-balancing round-robin system-design
Python
def round_robin_servers(requests: list[str], servers: list[str]) -> dict[str, list[str]]:
    assignments = {server: [] for server in servers}
    for idx, request in enumerate(requests):
        server = servers[idx % len(servers)]
        assignments[server].append(request)
    return assignments


if __name__ == "_…
14 0 Open
API design & gRPC easy

How to Build a Data Helper Class in Python for Beginners

Create a beginner-friendly DataHelper class that stores, retrieves, filters, and summarizes records in a list of dictionaries.

dataclasses data-handling beginner
Python
from __future__ import annotations

import json
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional


@dataclass
class DataHelper:
    """A beginner-friendly helper for common data tasks."""

    data: List[Dict[str, Any]] = field(default_factory=list)

    def add_record(self, record…
15 0 Open
API design & gRPC easy

How to Build a Simple Data Helper in Python for API Design

Create a beginner-friendly DataHelper class that demonstrates basic CRUD operations (add, get, list, remove) using an in-memory dictionary, ideal for learning API design concepts.

api-design data-structures crud
Python
class DataHelper:
    """Simple data helper for beginners learning API design concepts."""
    
    def __init__(self):
        self._data = {}
    
    def add_record(self, key, value):
        """Add a record to the store."""
        self._data[key] = value
        return f"Added: {key} -> {value}"
    
    def get_…
12 0 Open
API design & gRPC easy

How to Expand Related Resources with a Mock Embed in Python

Simulate API response embedding by attaching mock embedded data to each related resource in a list using a simple Python class.

api embed mock
Python
import json

class EmbedMock:
    def __init__(self, resources):
        self.resources = resources

    def expand(self):
        for resource in self.resources:
            resource["embedded"] = self._generate_embed()

    def _generate_embed(self):
        return {
            "id": 1,
            "type": "mock",
…
16 0 Open
API design & gRPC easy

How to Implement Pagination with Offset and Limit in Python

A mock API pagination pattern that parses page and per_page query parameters, computes offset and limit, and slices a list of items for a specific page.

api pagination query-params
Python
def paginate(items, page, per_page):
    offset = (page - 1) * per_page
    return items[offset:offset + per_page]


def parse_query_params(query_string):
    params = {}
    if query_string:
        for pair in query_string.split("&"):
            key, value = pair.split("=")
            params[key] = value
    page …
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…
12 0 Open
Streaming & messaging easy

Dead Letter Queue Failed Messages List Mock in Python

Implements a simple in-memory dead letter queue to collect, list, and retry failed messages, with JSON serialization for inspection in streaming pipelines.

dead-letter-queue messaging retry
Python
import json
from collections import deque


class Message:
    def __init__(self, message_id, payload, attempts=0):
        self.message_id = message_id
        self.payload = payload
        self.attempts = attempts

    def __repr__(self):
        return f"Message(id={self.message_id}, attempts={self.attempts})"


c…
17 0 Open
Streaming & messaging easy

How to Build a Mock Change Data Capture Event Stream in Python

Generate a deterministic list of mock CDC events with event IDs, stream positions, payloads, and timestamps for testing streaming pipelines.

cdc mock event-stream
Python
from itertools import count
from random import choice, randint, seed
from datetime import datetime, timedelta

seed(42)  # Make output deterministic
event_types = ["INSERT", "UPDATE", "DELETE"]
table_names = ["users", "orders", "products", "payments"]
counter = count(1)

def mock_cdc_event(stream_index: int) -> dict:
…
14 0 Open
Streaming & messaging easy

How to Implement Publish-Subscribe Fanout with Multiple Subscribers in Python

Create a simple publish-subscribe system in Python that broadcasts messages to multiple subscriber callbacks for a given topic.

pubsub messaging events
Python
import time

class PubSub:
    def __init__(self):
        self.subscribers = {}

    def subscribe(self, topic, callback):
        if topic not in self.subscribers:
            self.subscribers[topic] = []
        self.subscribers[topic].append(callback)

    def publish(self, topic, message):
        if topic in sel…
15 0 Open
Streaming & messaging easy

How to Implement an In-Memory Pub/Sub System in Python

This code implements a simple in-memory publish/subscribe system in Python, allowing topics, callbacks, and message broadcasting.

pubsub event-driven design-pattern
Python
class PubSub:
    def __init__(self):
        self.topics = {}

    def subscribe(self, topic, callback):
        if topic not in self.topics:
            self.topics[topic] = []
        self.topics[topic].append(callback)
        return lambda: self.unsubscribe(topic, callback)

    def unsubscribe(self, topic, callb…
19 0 Open
Streaming & messaging medium

How to Implement an Outbox Table Poll Publisher in Python

This code simulates an outbox pattern with a class that polls for pending records and publishes them as JSON messages, removing only those that are due.

outbox polling messaging
Python
import time
import json
from dataclasses import dataclass, asdict
from datetime import datetime, timedelta

@dataclass
class OutboxRecord:
    id: int
    topic: str
    payload: dict
    created_at: datetime

class OutboxPollPublisher:
    def __init__(self, poll_interval_seconds=1):
        self.poll_interval = poll…
13 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.