Reference library

Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

6 matches
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
Cloud + Python medium

Mock GCP storage bucket blob upload in Python

Simulate uploading a blob to a GCP Storage bucket for testing without hitting the cloud.

gcp mock storage
Python
import io
from datetime import datetime
from unittest.mock import MagicMock, patch


class MockBlob:
    """Simulates a GCP storage blob for unit testing."""
    def __init__(self, name):
        self.name = name
        self.uploaded_at = None
        self.content = b""

    def upload_from_file(self, file_obj):
    …
14 0 Open
Cloud + Python medium

Mock S3, GCS, and Azure storage with a Python abstract interface

Define an abstract Storage interface and implement a local, filesystem-backed mock so S3, GCS, and Azure code can be tested without cloud dependencies.

storage abstraction testing
Python
from abc import ABC, abstractmethod
from pathlib import Path


class Storage(ABC):
    @abstractmethod
    def put(self, name: str, data: bytes) -> None:
        pass

    @abstractmethod
    def get(self, name: str) -> bytes:
        pass


class LocalStorage(Storage):
    def __init__(self, base_dir: str = "mock_sto…
14 0 Open
Caching & Redis medium

How to implement a write-behind cache with async queue in Python

Build an async write-behind cache that queues writes in memory and flushes them in batches to persistent storage.

write-behind cache asyncio
Python
import asyncio
from collections import deque
from dataclasses import dataclass

@dataclass
class CacheEntry:
    key: str
    value: str

class WriteBehindCache:
    def __init__(self, flush_interval=1.0):
        self.cache = {}
        self.queue = deque()
        self.flush_interval = flush_interval
        self._f…
14 0 Open
Big data & Spark medium

Mock Predicate Pushdown in Python for Big Data Queries

Simulate predicate pushdown by applying filters at the storage layer before materializing rows, showing how big data engines optimize queries.

big-data query-optimization predicate-pushdown
Python
class Query:
    def __init__(self, table, rows):
        self.table = table
        self.rows = rows

    def filter(self, predicate):
        return Query(
            self.table,
            [row for row in self.rows if all(predicate(row) for predicate in predicate)]
        )

    def filter_pushdown(self, predica…
15 0 Open
ML engineering pipelines medium

How to mock an artifact store with local paths in Python for ML pipelines

Create a temporary local artifact store with dummy files and metadata to test ML pipeline code without real storage.

ml-pipelines mock tempfile
Python
import tempfile
from pathlib import Path
import json


def create_artifact_store_mock(base_path: Path = None):
    """Create a local artifact store mock directory structure."""
    if base_path is None:
        base_path = Path(tempfile.mkdtemp())

    store_layout = {
        "artifacts": [
            {"name": "mode…
13 0 Open

Browse by section

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.