Reference library

Python Code Samples

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

3 matches
Automation & scripting medium

How to Compare Two GitHub Repositories and Highlight Differences in Python

Fetch metadata from two GitHub repositories using the GitHub API and compare key attributes like stars, forks, license, and language, printing any differences.

github-api api comparison
Python
import requests
import json
from pathlib import Path

def fetch_repo_data(owner, repo_name):
    """Fetch repository metadata from GitHub API."""
    url = f"https://api.github.com/repos/{owner}/{repo_name}"
    response = requests.get(url)
    response.raise_for_status()
    return response.json()

def compare_repos(…
34 0 Open
Testing & modern typing medium

How to Flag Unexpected Diff Changes in Python

Compares two snapshot lists, detects unexpected differences, and returns a flag indicating whether the snapshot should be updated.

diffing snapshot-testing difflib
Python
import difflib

def snapshot_diff(before, after, intentional_changes=None):
    """Compare snapshots and flag only unexpected differences."""
    intentional_changes = intentional_changes or set()
    diff = list(difflib.unified_diff(before, after, lineterm=""))
    has_unexpected = False

    for line in diff:
      …
16 0 Open
A/B testing & experimentation medium

Check Covariate Balance in Python

Compute standardized mean differences and KS tests to check covariate balance between treatment and control groups in Python.

covariate balance ab-testing
Python
import numpy as np
from scipy import stats

def balance_check(treatment, covariate):
    """Check covariate balance between treatment and control groups."""
    treat_vals = covariate[treatment == 1]
    control_vals = covariate[treatment == 0]
    
    # Standardized mean difference
    pooled_std = np.sqrt((np.var(t…
13 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.