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Python Code Samples

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

2 matches
Modern tooling easy

Mock pdm build and publish in Python

Simulate pdm build and publish commands with unittest.mock to test packaging workflows without triggering real builds or uploads.

pdm mock unittest
Python
from unittest.mock import Mock, patch

import pdm


def build_package() -> str:
    """Simulate building a package with pdm."""
    build_mock = Mock(return_value="dist/mypackage-0.1.0-py3-none-any.whl")
    with patch.object(pdm, "build", build_mock):
        result = pdm.build()
    return result


def publish_packa…
12 0 Open
API design & gRPC medium

How to Parse Multipart Form Data in Python

Parse multipart/form-data uploads using the Python standard library's cgi module to extract both regular fields and file uploads.

multipart cgi form-data
Python
import cgi
from io import BytesIO

def parse_multipart_form(headers, body_bytes):
    content_type = headers.get("Content-Type", "")
    content_length = int(headers.get("Content-Length", len(body_bytes)))
    
    # Create a file-like object from bytes for cgi.FieldStorage
    body_file = BytesIO(body_bytes)
    
   …
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.