Reference library

Python Code Samples

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

2 matches
AI & LLM integration patterns easy

How to hash a prompt with SHA-256 in Python

Create a SHA-256 hex fingerprint of a prompt string, with a short-prefix variant for quick references.

hashlib sha256 fingerprint
Python
import hashlib

def prompt_hash_fingerprint(prompt: str) -> str:
    """Return the full SHA-256 hex digest of the prompt."""
    return hashlib.sha256(prompt.encode("utf-8")).hexdigest()

def short_fingerprint(prompt: str, length: int = 12) -> str:
    """Return a short prefix of the SHA-256 digest for quick reference…
13 0 Open
Data pipelines & processing easy

Generate a Deterministic Hash for Deduplication in Python

Create a stable SHA-256 fingerprint from nested data and file contents to deduplicate records in a data pipeline.

hashing deduplication sha256
Python
import hashlib
import json
from pathlib import Path

def natural_key_hash(data, salt=""):
    """
    Generate a deterministic fingerprint from raw data (dict/list/str).
    Uses JSON canonical-ish serialization with sorted keys and SHA-256.
    """
    canonical = json.dumps(data, sort_keys=True, separators=(",", ":"…
14 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.