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Python Code Samples

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

5 matches
Lists & loops easy

How to Swap Two Indices in a Python List

Swap two elements at given indices in a Python list using simultaneous assignment, then return the modified list.

list swap indexing
Python
def swap_indices(lst, i, j):
    lst[i], lst[j] = lst[j], lst[i]
    return lst

if __name__ == "__main__":
    my_list = [10, 20, 30, 40, 50]
    print("Original list:", my_list)
    swapped = swap_indices(my_list, 1, 3)
    print("After swapping indices 1 and 3:", swapped)
14 0 Open
A/B testing & experimentation easy

How to Do Random Assignment in Python for A/B Tests

Assign each item to a binary group (0 or 1) with uniform probability using a small reusable function, optionally weighted, for A/B testing mocks.

random ab-testing assignment
Python
import random

def random_assignment_uniform_mock(items, weights=None):
    """Assign each item to a group (0 or 1) with uniform probability."""
    if weights is None:
        # Default: each item independently gets 0 or 1 with 50% probability
        return [random.randint(0, 1) for _ in items]
    # Optional weight…
13 0 Open
A/B testing & experimentation easy

How to Mock Stratified Assignment by Segment in Python

Simulate stratified assignment for A/B experiments by sampling a fixed proportion of units from each segment, with deterministic seeds for reproducibility.

ab-testing sampling random
Python
import random

def stratified_assignment(segments, seed=None):
    """
    Mock stratified assignment: given a dict of segment -> population size,
    return a dict of segment -> sampled unit ids (deterministic with seed).
    """
    if seed is not None:
        random.seed(seed)
    rng = random.Random(seed)
    res…
12 0 Open
A/B testing & experimentation easy

How to hash user IDs to experiment buckets in Python

Deterministically map a user ID to an experiment bucket using MD5 hashing, ensuring stable and consistent assignment for A/B testing.

hashing ab-testing experiments
Python
import hashlib


def hash_user_to_bucket(user_id: str, num_buckets: int = 10) -> int:
    """Deterministically map a user ID to an experiment bucket (0..num_buckets-1)."""
    digest = hashlib.md5(user_id.encode("utf-8")).hexdigest()
    return int(digest, 16) % num_buckets


if __name__ == "__main__":
    mock_users …
12 0 Open
Database scaling & optimization easy

Rebalance Shard Ranges Across Nodes in Python

A mock rebalancing function that shuffles shard ranges and distributes them evenly across nodes using round-robin assignment.

sharding rebalancing dataclass
Python
import random
from dataclasses import dataclass

@dataclass
class Shard:
    id: int
    start: int
    end: int

def rebalance_shards(shards: list[Shard], node_count: int) -> dict[int, list[Shard]]:
    """Mock rebalancing of shard ranges across nodes."""
    all_ranges = [(s.start, s.end) for s in shards]
    random…
11 0 Open

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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.

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  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.