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Python Code Samples

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

2 matches
Automation & scripting easy

How to Batch Resize Images in Python with pathlib and Pillow

Batch resize all JPG images from a source folder and save to a destination folder using pathlib and Pillow.

pathlib pillow image-processing
Python
from pathlib import Path
from PIL import Image

def batch_resize_images(src_dir: str, dest_dir: str, size: tuple[int, int] = (800, 600)) -> None:
    src_path = Path(src_dir)
    dest_path = Path(dest_dir)
    dest_path.mkdir(parents=True, exist_ok=True)
    
    for img_path in src_path.glob("*.jpg"):
        if not …
12 0 Open
Automation & scripting easy

How to Generate Thumbnails While Maintaining Aspect Ratio in Python

Resize images to fit within maximum dimensions while preserving the original aspect ratio using Pillow (PIL).

pillow image-processing thumbnail
Python
from PIL import Image

def thumbnail_with_aspect_ratio(image_path, output_path, max_width, max_height):
    with Image.open(image_path) as img:
        # Get original dimensions
        width, height = img.size

        # Calculate scaling ratio to fit within max dimensions
        ratio = min(max_width / width, max_h…
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.