Reference library

Python Code Samples

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

2 matches
Algorithms & data structures easy

Depth First Search Traversal Order in Python

Recursive depth-first search that returns the visit order of nodes in an adjacency list graph starting from a given node.

dfs graph traversal
Python
def dfs_order(adj, start):
    visited = set()
    order = []

    def dfs(node):
        visited.add(node)
        order.append(node)
        for neighbor in adj.get(node, []):
            if neighbor not in visited:
                dfs(neighbor)

    dfs(start)
    return order


if __name__ == "__main__":
    # Dem…
15 0 Open
Automation & scripting easy

How to Merge PDFs in Python (Mock pypdf Stub)

Merge PDF files by concatenating their raw byte content using a simple stubbed class that mimics the pypdf interface.

pdf merge mock
Python
import io
from hashlib import sha256


class PdfStub:
    def __init__(self, data: bytes, name: str):
        self.data = data
        self.name = name

    def get_content_bytes(self) -> bytes:
        return self.data


def merge_pdfs_mock(pdf_stubs) -> bytes:
    merged = io.BytesIO()
    for stub in pdf_stubs:
   …
14 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.