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Python Code Samples

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

55 matches
Algorithms & data structures medium

Product of All Elements Except Self in Python

Given a list of integers, return a list where each element is the product of all other elements except itself, using prefix and suffix products in O(n) time and O(1) extra space.

array prefix suffix
Python
def product_except_self(nums):
    n = len(nums)
    result = [1] * n
    
    left_product = 1
    for i in range(n):
        result[i] = left_product
        left_product *= nums[i]
    
    right_product = 1
    for i in range(n - 1, -1, -1):
        result[i] *= right_product
        right_product *= nums[i]
    
…
14 0 Open
Algorithms & data structures medium

Quickselect in Python: Find the kth Smallest Element

Python implementation of the Quickselect algorithm to find the kth smallest element in an unsorted list with average O(n) time complexity.

quickselect selection algorithm
Python
def quickselect(arr, k):
    """
    Returns the k-th smallest element (0-indexed) using Quickselect.
    Average: O(n), Worst: O(n^2)
    """
    if len(arr) == 1:
        return arr[0]

    pivot = arr[-1]
    left = [x for x in arr[:-1] if x <= pivot]
    right = [x for x in arr[:-1] if x > pivot]

    if k < len(l…
16 0 Open
Algorithms & data structures medium

Set Matrix Zeroes in Python: Markers List Grid Demo

Given a matrix, this code finds all rows and columns that contain a zero and sets every element in those rows and columns to zero, using boolean marker arrays.

matrix arrays algorithm
Python
def set_zeroes(matrix):
    rows, cols = len(matrix), len(matrix[0])
    row_markers = [False] * rows
    col_markers = [False] * cols

    # First pass: record which rows and columns contain zeros
    for i in range(rows):
        for j in range(cols):
            if matrix[i][j] == 0:
                row_markers[i] …
14 0 Open
Automation & scripting medium

Find Dead Code in a Python Project Using AST

Walk a project tree, parse every Python file with ast, and list defined functions that are never called anywhere.

ast dead-code static-analysis
Python
import ast
import os
import sys

def find_dead_code(project_path):
    defined_functions = {}
    called_functions = set()

    for root, dirs, files in os.walk(project_path):
        for file in files:
            if file.endswith('.py'):
                filepath = os.path.join(root, file)
                with open(f…
41 0 Open
Automation & scripting medium

Find Unused Python Packages Automatically

Scan a Python project's source files for imports and list installed packages not imported anywhere.

unused-packages static-analysis ast
Python
import pkg_resources
import ast
import os
import sys
from pathlib import Path

def find_imports_in_project(project_dir="."):
    imports = set()
    for py_file in Path(project_dir).rglob("*.py"):
        try:
            with open(py_file, "r") as f:
                tree = ast.parse(f.read())
            for node in …
39 0 Open
Automation & scripting medium

Generate Holiday Calendars for Different Countries in Python

Generate a sorted list of public holidays for a given country and year using Python's calendar and datetime modules.

calendar datetime holidays
Python
import calendar
from datetime import date, timedelta

def generate_holiday_calendar(country_code, year=2025):
    holidays = []
    
    if country_code == "US":
        # New Year's Day
        holidays.append(date(year, 1, 1))
        # Independence Day
        holidays.append(date(year, 7, 4))
        # Thanksgivin…
38 0 Open
Automation & scripting medium

How to Detect Applications Consuming Excessive Memory in Python

Use psutil to list the top memory-using processes by RSS and print their names, PIDs, and memory usage in MB.

psutil memory monitoring
Python
import psutil

def find_top_memory_processes(limit=5):
    """Return top `limit` processes by memory usage (RSS)."""
    processes = []

    for proc in psutil.process_iter(['pid', 'name', 'memory_info']):
        try:
            info = proc.info
            mem = info['memory_info'].rss if info['memory_info'] else 0…
35 0 Open
Automation & scripting medium

How to Detect Recently Installed Software in Python

Uses subprocess to call pip and parse package metadata to list recently installed Python packages.

pip subprocess automation
Python
import subprocess
import sys
from datetime import datetime, timedelta

def detect_recently_installed(days=7):
    """Detect recently installed software packages."""
    recent_packages = []
    cutoff_date = datetime.now() - timedelta(days=days)
    
    try:
        # For pip-installed packages (Python packages)
    …
35 0 Open
Automation & scripting medium

How to Scan Open Ports on a Host with Python

A Python function that uses socket.connect_ex to check for open TCP ports on a given host within a range and returns a list of open ports.

socket network port-scanning
Python
import socket

def scan_ports(host, start_port, end_port):
    open_ports = []
    for port in range(start_port, end_port + 1):
        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        sock.settimeout(0.5)
        result = sock.connect_ex((host, port))
        if result == 0:
            open_ports.app…
41 0 Open
Automation & scripting medium

How to Validate SSL Certificates for Multiple Domains in Python

A Python utility that checks SSL certificate expiry dates for a list of domains using the standard library ssl and socket modules.

ssl certificate validation
Python
import ssl
import socket
from datetime import datetime

def check_ssl_certificate(hostname: str, port: int = 443) -> dict:
    """Validate SSL certificate for a given hostname."""
    context = ssl.create_default_context()
    with socket.create_connection((hostname, port), timeout=5) as sock:
        with context.wra…
43 0 Open
Data pipelines & processing medium

Pivot long to wide transformation dict

Transform a list of dictionaries from long format to wide format by pivoting on a key column and aggregating values, using pure Python.

pivot transformation data-cleaning
Python
def pivot_long_to_wide(rows, key_col, value_col, id_cols=None):
    """
    Convert long-format data (list of dicts) to wide format.
    
    Args:
        rows: List of dicts in long format
        key_col: Column name to pivot on (becomes new column headers)
        value_col: Column name whose values become the cel…
11 0 Open
Git + Python medium

Generate Release Notes Markdown from PR Titles in Python

Generate structured Markdown release notes from a list of pull request titles using conventional commit types.

release-notes git pr-titles
Python
import json
from datetime import datetime, timezone

PRS = [
    {"title": "feat: add user login", "number": 12, "merged_at": "2025-01-10"},
    {"title": "fix: resolve payment timeout", "number": 13, "merged_at": "2025-01-11"},
    {"title": "chore: bump dependencies", "number": 14, "merged_at": "2025-01-12"},
    {"…
15 0 Open
Git + Python medium

How to generate and parse an interactive rebase TODO list in Python

Generate a Git interactive rebase TODO list from commit data and parse it back into structured records.

git rebase automation
Python
import re
from collections import namedtuple

Commit = namedtuple("Commit", ["hash", "subject"])

def generate_rebase_todo(commits, action="pick"):
    todo_lines = []
    for i, commit in enumerate(commits):
        if i == 0 and action == "reword":
            todo_lines.append(f"reword {commit.hash} {commit.subject…
11 0 Open
Git + Python medium

Python Script to Rotate a Leaked API Key

A checklist-driven Python script that scans a codebase for a leaked API key, replaces it with a new one, and prints a step-by-step rotation checklist.

security secrets file-scanning
Python
#!/usr/bin/env python3
"""Checklist for rotating a leaked API key across a codebase."""

import re
from pathlib import Path


CHECKLIST = [
    "Identify all files containing the leaked key",
    "Generate a new key with sufficient entropy",
    "Update the secret storage/CI environment variables",
    "Replace the ol…
14 0 Open
Cloud + Python medium

Mock S3 List Objects Paginator in Python

This code implements a mock S3 paginator that yields pages of object keys, mimicking the behavior of boto3's list_objects_v2 paginator for local testing.

s3 mock paginator
Python
import json
from datetime import datetime, timezone


class MockS3Paginator:
    """A mock S3 list_objects_v2 paginator returning pages of keys."""

    def __init__(self, bucket, all_keys, page_size=1000):
        self.bucket = bucket
        self.all_keys = all_keys
        self.page_size = page_size

    def pagina…
13 0 Open
Concurrency & performance medium

Benchmark list.append vs deque.append in Python

Measures and compares the performance of appending to a Python list versus a collections.deque using timeit.repeat, showing best and average timings.

benchmark performance list
Python
"""Benchmark list.append vs collections.deque.append."""

import timeit

def bench(stmt, setup, repeat=5, number=1_000_000):
    times = timeit.repeat(stmt, setup=setup, repeat=repeat, number=number)
    return min(times), sum(times) / len(times)

if __name__ == "__main__":
    number = 1_000_000
    list_best, list_a…
12 0 Open
Concurrency & performance medium

How to Share Memory Between Processes in Python with multiprocessing.Value and Array

Share a numeric value and a list-like array across multiple Python processes using multiprocessing.Value and multiprocessing.Array, with each process modifying the same memory.

multiprocessing shared-memory concurrency
Python
import multiprocessing

def worker(shared_value, shared_array, index):
    shared_value.value += 10
    shared_array[index] = shared_array[index] * 2

if __name__ == "__main__":
    shared_value = multiprocessing.Value("i", 5)
    shared_array = multiprocessing.Array("i", [1, 2, 3, 4, 5])

    processes = []
    for i…
13 0 Open
Concurrency & performance medium

How to Share a Dict and List Between Processes with multiprocessing Manager in Python

This code demonstrates how to share a dictionary and a list between multiple processes using multiprocessing.Manager, enabling safe concurrent updates.

multiprocessing manager shared-state
Python
import multiprocessing as mp


def worker(shared_dict, shared_list, name):
    shared_dict[name] = name.upper()
    shared_list.append(name)
    print(f"{name} added to shared structures")


def main():
    with mp.Manager() as manager:
        shared_dict = manager.dict()
        shared_list = manager.list()

       …
13 0 Open
Concurrency & performance medium

Merge K Sorted Lists in Python with heapq

Merge k sorted lists into one sorted list in O(N log k) time using a min-heap of current elements.

heapq merge sorted-lists
Python
import heapq

def merge_k_sorted_lists(lists):
    heap = []
    for i, lst in enumerate(lists):
        if lst:  # only push non-empty lists
            heapq.heappush(heap, (lst[0], i, 0))
    result = []
    while heap:
        val, list_idx, elem_idx = heapq.heappop(heap)
        result.append(val)
        if elem…
13 0 Open
Testing & modern typing medium

How to Flag Unexpected Diff Changes in Python

Compares two snapshot lists, detects unexpected differences, and returns a flag indicating whether the snapshot should be updated.

diffing snapshot-testing difflib
Python
import difflib

def snapshot_diff(before, after, intentional_changes=None):
    """Compare snapshots and flag only unexpected differences."""
    intentional_changes = intentional_changes or set()
    diff = list(difflib.unified_diff(before, after, lineterm=""))
    has_unexpected = False

    for line in diff:
      …
16 0 Open
Testing & modern typing medium

How to Use Hypothesis Strategies for Lists of Text in Python

Generate random lists of non-empty strings with Hypothesis and verify that joining them with a comma-and-space separator meets expected length and containment invariants.

hypothesis property-based-testing strategies
Python
from hypothesis import given, strategies as st
from hypothesis import example


@given(st.lists(st.text(min_size=1, max_size=10), min_size=1, max_size=5))
def test_joined_string_length(items):
    """Each text is non-empty; a joined string should be at least as long
    as the number of items (separator adds character…
13 0 Open
Testing & modern typing medium

How to Validate Data in Python with Typing Hints

Build a runtime validation helper that checks values against Python type hints like Optional, list, and basic types.

typing validation type-hints
Python
from typing import Any, Optional, Union, TypeVar, get_origin, get_args

T = TypeVar("T")

def validate(value: Any, expected_type: type) -> Optional[str]:
    """Returns an error message if value doesn't match expected_type, else None."""
    # Handle Optional[...] types
    origin = get_origin(expected_type)
    if or…
14 0 Open
Streaming & messaging medium

How to Mock a Kafka Rebalance Listener in Python

Simulate Kafka consumer rebalance callbacks (on_partitions_revoked and on_partitions_assigned) with a mock consumer to test listener logic.

kafka rebalance mocking
Python
import time
from collections import defaultdict


class MockKafkaConsumer:
    def __init__(self):
        self.assignments = defaultdict(list)
        self.rebalances = 0

    def assign(self, partitions):
        self.rebalances += 1
        self.assignments.clear()
        for partition in partitions:
            s…
15 0 Open
Caching & Redis medium

How to Build a Bloom Filter to Reduce Cache Misses in Python

Implement a probabilistic Bloom filter in Python that lets a cache quickly determine which keys are definitely not present, reducing expensive source lookups on cache misses.

bloom-filter caching probabilistic
Python
import hashlib
import random

class BloomFilter:
    def __init__(self, size=100, num_hashes=3):
        self.size = size
        self.num_hashes = num_hashes
        self.bit_array = [0] * size

    def _hashes(self, item):
        result = []
        for i in range(self.num_hashes):
            hash_value = int(hash…
14 0 Open

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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.