Reference library

Python Code Samples

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

2 matches
Strings & text easy

How to Detect PII in Documents Using Python

Use regex patterns to automatically detect emails, phone numbers, SSNs, and credit card numbers in text documents.

pii regex data-privacy
Python
import re
from typing import List, Dict

def detect_pii(text: str) -> Dict[str, List[str]]:
    patterns = {
        "email": r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
        "phone": r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}",
        "ssn": r"\b\d{3}-\d{2}-\d{4}\b",
        "credit_card": r"\b\d{4}[- ]?\d{4}[-…
51 0 Open
Automation & scripting easy

How to Strip EXIF Metadata from Images in Python

Remove EXIF metadata from image bytes using Pillow, with a mock JPEG generator for testing.

exif images metadata
Python
from PIL import Image
from PIL.ExifTags import TAGS
from io import BytesIO
import struct

def strip_exif(image_bytes, remove_metadata=True):
    """Remove EXIF metadata from image bytes."""
    img = Image.open(BytesIO(image_bytes))
    if remove_metadata:
        # Clear all metadata
        img.info.clear()
    # Sa…
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.