Reference library

Python Code Samples

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

2 matches
Caching & Redis easy

How to Implement Namespaced Cache Keys for Tenant Isolation in Python

Build a tenant-aware cache wrapper that prefixes keys with tenant and namespace, and test it with mocks.

cache tenant namespace
Python
from keyvaluestore import SimpleCache
from unittest.mock import patch

class TenantCache(SimpleCache):
    def __init__(self, tenant_id, namespace="default"):
        super().__init__()
        self.tenant_id = tenant_id
        self.namespace = namespace

    def _key(self, key):
        return f"tenant:{self.tenant_…
17 0 Open
Microservices patterns easy

How to mock a SPIFFE workload identity in Python

Generate a mock SPIFFE ID and token for a workload using a trust domain, namespace, and service account.

spiffe identity microservices
Python
import hashlib
import json
from dataclasses import dataclass, asdict


@dataclass
class SPIFFEIdentity:
    trust_domain: str
    namespace: str
    service_account: str

    @property
    def id(self) -> str:
        return f"spiffe://{self.trust_domain}/ns/{self.namespace}/sa/{self.service_account}"


def mock_workl…
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.