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Reference library

Python code samples

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

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Files & data easy

Build a Command-Line To-Do List Application with Data Persistence in Python

A persistent command-line to-do list that saves tasks as JSON, supporting add, show, toggle done, and quit commands.

cli json persistence
Python
import json
import os

TODO_FILE = "todos.json"

def load_todos():
    if not os.path.exists(TODO_FILE):
        return []
    with open(TODO_FILE, "r") as f:
        return json.load(f)

def save_todos(todos):
    with open(TODO_FILE, "w") as f:
        json.dump(todos, f, indent=2)

def show_todos(todos):
    if not…
6 0 Open
Files & data easy

Create a Personal Knowledge Base That Searches Notes Instantly in Python

Build a lightweight personal knowledge base with JSON storage and instant case-insensitive full-text search across note titles and content.

json knowledge base search
Python
import json
import re
import sys

class PersonalKnowledgeBase:
    def __init__(self, file_path="kb_notes.json"):
        self.file_path = file_path
        self.notes = self._load_notes()

    def _load_notes(self):
        try:
            with open(self.file_path, "r") as f:
                return json.load(f)
    …
4 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.