Reference library

Python Code Samples

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

2 matches
Lists & loops easy

Find Most Active Contributors in a Repository with Python

Filter recent commits by date and count the most active contributors using Counter and datetime.

collections datetime counter
Python
from collections import Counter
from datetime import datetime, timedelta

# Simulated commit data
commits = [
    {"author": "Alice", "timestamp": datetime.now() - timedelta(days=1)},
    {"author": "Bob", "timestamp": datetime.now() - timedelta(days=2)},
    {"author": "Alice", "timestamp": datetime.now() - timedelta…
44 0 Open
Git + Python easy

Count Unique Contributors from Git Shortlog in Python

Parses git shortlog -sn output to count the number of unique contributors, handling duplicate entries and variable whitespace.

git parsing collections
Python
import subprocess
from collections import Counter

# Mock shortlog output as a list of lines (simulating git shortlog -sn output)
MOCK_SHORTLOG = """  120  Alice Johnson
   88  Bob Smith
   45  Alice Johnson
   30  Carol Williams
   25  Bob Smith
   10  Dave Brown
"""

def count_contributors_from_shortlog(text):
    "…
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.