Reference library

Big data & Spark

PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.

1 match
Big data & Spark easy

How to Shuffle Items by Group in Python

Randomly shuffle items within each group while keeping groups contiguous, using a seed for reproducible results.

random shuffle grouping
Python
import random

def shuffle_sort_groups(items, group_key, seed=None):
    """Randomize order within groups, keeping groups contiguous."""
    rng = random.Random(seed)
    
    groups = {}
    for item in items:
        key = group_key(item)
        groups.setdefault(key, []).append(item)
    
    result = []
    for k…
13 0 Open

Browse by section

Each section groups closely related Python snippets.

Big data & Spark — Python code examples

What you will find here

This page collects big data & spark snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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.