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Python Code Samples

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

34 matches
Git + Python easy

How to Filter Git History to Remove Secret File Entries in Python

A pure-Python mock that filters a repository's history to drop any commit that touched a secret file, so you can plan a cleanup before rewriting Git history.

git secrets history
Python
from pathlib import Path
import json

def filter_history(history, secret_path):
    """Remove entries that touch the secret file."""
    return [entry for entry in history if secret_path not in entry["files"]]

if __name__ == "__main__":
    repo_history = [
        {"commit": "a1b2c3", "message": "Add app", "files": …
10 0 Open
Git + Python easy

How to Mock Git Clean Dry Run in Python

Simulate the output of `git clean -n` in Python to preview which untracked files would be removed without actually deleting them.

git clean dry-run
Python
import subprocess
import sys

def mock_git_clean_dry_run(untracked_files):
    """Simulate `git clean -n` for a given list of untracked files."""
    if not untracked_files:
        print("No untracked files to remove.")
        return

    print("Would remove:")
    for file in untracked_files:
        print(f"  {fil…
14 0 Open
Git + Python easy

How to compute diff stats (insertions, deletions) in Python

Parses a git diff text and counts the number of added and removed lines to produce insertion and deletion stats.

git diff parsing
Python
import re
from collections import Counter


def parse_diff(diff_text):
    insertions = 0
    deletions = 0
    for line in diff_text.splitlines():
        if line.startswith("+") and not line.startswith("+++"):
            insertions += 1
        elif line.startswith("-") and not line.startswith("---"):
            d…
15 0 Open
System design patterns medium

Implement a Consistent Hash Ring in Python

Build a minimal consistent hash ring with virtual nodes to map keys to servers stably as nodes are added or removed.

consistent-hashing hashing distributed-systems
Python
import hashlib
import bisect


class ConsistentHashRing:
    def __init__(self, nodes=None, replicas=3):
        self.replicas = replicas
        self.ring = {}
        self.sorted_keys = []
        if nodes:
            for node in nodes:
                self.add_node(node)

    def _hash(self, key):
        return i…
15 0 Open
API design & gRPC easy

How to Build a Simple Data Helper in Python for API Design

Create a beginner-friendly DataHelper class that demonstrates basic CRUD operations (add, get, list, remove) using an in-memory dictionary, ideal for learning API design concepts.

api-design data-structures crud
Python
class DataHelper:
    """Simple data helper for beginners learning API design concepts."""
    
    def __init__(self):
        self._data = {}
    
    def add_record(self, key, value):
        """Add a record to the store."""
        self._data[key] = value
        return f"Added: {key} -> {value}"
    
    def get_…
12 0 Open
Caching & Redis medium

Consistent Hashing Cache Shard in Python

A minimal consistent hashing ring with virtual nodes that distributes cache keys across shards and minimizes re-mapping when a node is removed.

caching sharding consistent-hashing
Python
import hashlib
import bisect


class ConsistentHashRing:
    def __init__(self, nodes=None, replicas=3):
        self.replicas = replicas
        self.ring = {}
        self.sorted_keys = []
        if nodes:
            for node in nodes:
                self.add_node(node)

    def _hash(self, key):
        return i…
16 0 Open
ML engineering pipelines easy

How to do feature selection with VarianceThreshold in Python

This code demonstrates how to use scikit-learn's VarianceThreshold to remove low-variance features from a NumPy array, keeping only those that vary enough to be useful for modeling.

feature selection sklearn machine learning
Python
import numpy as np
from sklearn.feature_selection import VarianceThreshold

def main():
    # Mock dataset: 4 samples, 5 features
    X = np.array([
        [0.1, 0.2, 1.0, 1.0, 0.5],
        [0.2, 0.2, 0.0, 1.0, 0.4],
        [0.1, 0.2, 1.0, 1.0, 0.6],
        [0.3, 0.2, 1.0, 0.0, 0.5]
    ])

    # Select features w…
14 0 Open
Database scaling & optimization medium

How to Implement Consistent Hashing in Python

Build a consistent hash ring in Python that distributes keys across nodes and minimizes remapping when nodes are added or removed.

consistent-hashing distributed-systems sharding
Python
import hashlib
from bisect import bisect_right


class ConsistentHashRing:
    def __init__(self, nodes, replicas=3):
        self.replicas = replicas
        self.ring = {}
        self.sorted_keys = []
        for node in nodes:
            self.add_node(node)

    def _hash(self, key):
        return int(hashlib.md…
15 0 Open
Database scaling & optimization easy

Simulate PostgreSQL Vacuum to Reclaim Space in Python

A Python class that safely rewrites a data file to remove deleted rows and reclaim physical space, mimicking PostgreSQL's VACUUM operation.

vacuum file-management database
Python
import shutil
import os

class VacuumCleaner:
    """Simulates PostgreSQL-style vacuum reclaiming dead space in a file."""
    
    def __init__(self, filepath, fill_ratio=0.7, dead_marker="[DELETED]"):
        self.filepath = filepath
        self.fill_ratio = fill_ratio
        self.dead_marker = dead_marker
    
  …
13 0 Open
Auth & security at scale easy

How to Revoke Tokens with a Blacklist Set in Python

A minimal TokenBlacklist class using a Python set to revoke, batch-revoke, check, and remove expired tokens for simple token invalidation.

jwt blacklist authentication
Python
import time

class TokenBlacklist:
    def __init__(self):
        self.blacklisted_tokens = set()

    def revoke(self, token):
        self.blacklisted_tokens.add(token)
        print(f"Token {token} revoked. Blacklist size: {len(self.blacklisted_tokens)}")

    def revoke_batch(self, tokens):
        before = len(s…
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.