Reference library

Python Code Samples

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

2 matches
Big data & Spark medium

Skew Join Salting Key in Python (Demo)

Demonstrates skew join salting by expanding a smaller side with salt keys and matching rows on the larger side via random salt assignment.

skew join salting distributed
Python
import random


def skew_join_salting_key(left_df, right_df, salt_range=4):
    """
    Demonstrates skew join salting: expand the smaller side with salt keys,
    then attach a salt key to each row on the larger side.
    Returns a list of (left, right, salt) tuples.
    """
    skewed_left = []
    for row in left_d…
14 0 Open
Auth & security at scale easy

How to Salt Passwords per User in Python

Hash each user's password with a unique random salt using hashlib, and verify logins with timing-safe comparison.

password-hashing security authentication
Python
import hashlib
import secrets

def hash_password(password: str, salt: str | None = None) -> tuple[str, str]:
    """Hash a password with a random salt (or provided salt).

    Returns:
        (salt_hex, password_hash_hex)
    """
    if salt is None:
        salt = secrets.token_hex(16)
    salted = (salt + password)…
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.