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Reference library

Python Code Samples

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

3 matches
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Files & data easy

Detect Outliers in CSV Data Using Z-Score in Python

Read a CSV file and detect outliers in a numeric column by computing z-scores, flagging those exceeding a given threshold — no machine learning required.

outlier-detection z-score csv
Python
import csv
import statistics
from math import sqrt

def detect_outliers(csv_path, column_name, threshold=2.0):
    """Detect outliers in a numeric column using z-score method."""
    values = []
    with open(csv_path, 'r', newline='') as f:
        reader = csv.DictReader(f)
        if column_name not in reader.field…
2 0 Open
AI & LLM integration patterns medium

Track GitHub Repository Growth in Python

A Python dashboard that fetches and displays GitHub repository statistics including stars, forks, creation date, and recent star activity using the GitHub API.

github api requests
Python
import requests
import json
from datetime import datetime, timedelta

def track_repo_growth(owner, repo):
    url = f"https://api.github.com/repos/{owner}/{repo}"
    headers = {"Accept": "application/vnd.github.v3+json"}
    response = requests.get(url, headers=headers)
    data = response.json()
    
    name = data…
3 0 Open
Automation & scripting medium

How to Generate Project Statistics Including Lines of Code and Complexity in Python

Walk through a Python script that scans a project directory for Python files, counts lines of code excluding blanks and comments, and estimates cyclomatic complexity by counting decision keywords.

code metrics lines of code cyclomatic complexity
Python
import os
from pathlib import Path

def count_lines_of_code(filepath):
    """Counts lines of code in a Python file, excluding blank lines and comments."""
    try:
        with open(filepath, 'r') as f:
            lines = f.readlines()
        code_lines = [line for line in lines if line.strip() and not line.strip()…
4 0 Open

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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.