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Python Code Samples

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

14 matches
Dictionaries & sets medium

How to Recursively Remove None Values from Nested Dictionaries in Python

Recursively removes all None values from nested dictionaries and lists while preserving non-None data.

dictionaries recursion data-cleaning
Python
def prune_none(obj):
    if isinstance(obj, dict):
        return {
            k: prune_none(v)
            for k, v in obj.items()
            if v is not None and prune_none(v) is not None
        }
    elif isinstance(obj, list):
        pruned = [prune_none(item) for item in obj]
        pruned = [item for item i…
15 0 Open
OOP & classes medium

How to implement a Facade class to simplify subsystem calls in Python

Use a Facade class to wrap complex subsystem interactions behind a simple start() method, hiding the details and providing a clean interface.

facade design-patterns oop
Python
class CPU:
    def freeze(self):
        print("CPU: freezing")

    def jump(self, position):
        print(f"CPU: jumping to {position}")

    def execute(self):
        print("CPU: executing")


class Memory:
    def load(self, position, data):
        print(f"Memory: loading '{data}' at {position}")


class HardDr…
15 0 Open
Automation & scripting medium

Automatically Clean Temporary Files from Applications Using Python

A Python script that safely deletes temporary files from common application temp directories across Windows, Linux, and macOS, tracking cleaned count and disk space.

temporary-files cleanup automation
Python
import os
import shutil
import tempfile
import platform

def clean_application_temp_files():
    """Delete common temporary file locations safely."""
    system = platform.system()
    temp_dirs = []

    if system == "Windows":
        temp_dirs.extend([
            os.path.join(os.getenv("LOCALAPPDATA"), "Temp"),
  …
56 0 Open
Automation & scripting medium

Find Orphan Files Not Referenced Anywhere in Python

Scan a project directory for files whose names never appear in the content of other files, identifying potentially unused resources.

orphan files file cleanup automation
Python
import os
from pathlib import Path
import re

def find_orphan_files(root_dir: str, extensions: set = None, ignore_patterns: list = None):
    """Find files not referenced by any other file in the project."""
    if extensions is None:
        extensions = {'.txt', '.md', '.py', '.html', '.css', '.js', '.json', '.yaml'…
38 0 Open
Automation & scripting medium

How to Detect Unused Images in a Project with Python

A Python script that scans a website project folder, identifies all image files, and checks HTML/CSS/JS files to find which images are never referenced.

automation files regex
Python
import os
import re
from pathlib import Path

def find_unused_images(project_path):
    image_exts = {'.png', '.jpg', '.jpeg', '.gif', '.svg', '.webp'}
    used_images = set()
    all_images = set()
    
    # Find all image files
    for root, _, files in os.walk(project_path):
        for file in files:
            …
38 0 Open
Data pipelines & processing medium

Build a Python Utility That Detects Duplicate Records Across Multiple Excel Sheets

A Python utility that uses pandas to find overlapping records across different Excel sheets based on specified key columns.

pandas excel data cleaning
Python
import pandas as pd
from pathlib import Path

def find_duplicate_records_across_sheets(file_path: str, key_columns: list, sheet_names: list) -> dict:
    """
    Detect duplicate records across multiple Excel sheets based on specified key columns.
    
    Args:
        file_path: Path to the Excel file
        key_co…
46 0 Open
Data pipelines & processing medium

How to Find Missing Values in Large Datasets in Python

Analyze missing values across multiple large pandas DataFrames with counts and percentages.

pandas missing-data data-cleaning
Python
import pandas as pd
import numpy as np

def find_missing_values_summary(datasets):
    """Analyze missing values across multiple datasets (dict of name: DataFrame)."""
    summary = {}
    for name, df in datasets.items():
        missing_count = df.isnull().sum()
        total_rows = len(df)
        missing_pct = (mi…
41 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
Concurrency & performance medium

How to Cancel an asyncio Task with Graceful Cleanup in Python

Cancel a running asyncio task, handle the cancellation signal inside a worker coroutine to perform cleanup, then re-raise so the cancellation propagates correctly.

asyncio cancellation cleanup
Python
import asyncio


async def worker(name: str, sleep: float) -> None:
    try:
        print(f"{name}: starting")
        await asyncio.sleep(sleep)
        print(f"{name}: completed")
    except asyncio.CancelledError:
        print(f"{name}: cancelled, cleaning up...")
        await asyncio.sleep(0.2)  # Simulate clea…
14 0 Open
System design patterns medium

How to Apply the Clean Architecture Dependency Rule in Python

Demonstrates the dependency rule with a Protocol repository, a use case, and a presenter wired together at a composition root.

clean-architecture dependency-inversion protocol
Python
from dataclasses import dataclass
from typing import List, Protocol

class Repository(Protocol):
    def get_items(self) -> List[str]:
        ...

@dataclass
class InMemoryRepository:
    items: List[str]

    def get_items(self) -> List[str]:
        return self.items

class UseCase:
    """Application layer depends…
13 0 Open
System design patterns medium

How to Build an Anti-Corruption Layer in Python

Wrap a legacy system with a translation layer that converts awkward legacy data into a clean, modern DTO (Data Transfer Object) for use by new code.

anti-corruption-layer ddd dto
Python
class LegacyOrderSystem:
    """Legacy system with awkward, unstructured data."""
    def get_order(self):
        return {
            "order_id": "ORD-123",
            "cust": "Acme Corp",
            "items": [{"sku": "A1", "qty": 2, "price_each": 10.0}],
            "ship_to": "123 Main St, Springfield"
        }…
15 0 Open
Caching & Redis medium

How to Implement a Redis-Like Cache Dictionary in Python

Build a RedisMockDict class that mimics basic Redis key-value operations with TTL support, expiry cleanup, and standard dict-like methods.

redis cache ttl
Python
from collections import OrderedDict
import time

class RedisMockDict:
    def __init__(self, ttl=None):
        self._data = OrderedDict()
        self._ttl = ttl  # default TTL in seconds, None = no expiry
        self._expiry = {}

    def set(self, key, value, ttl=None):
        """Set a key-value pair with optiona…
12 0 Open
Microservices patterns medium

How to Build an Anti-Corruption Layer in Python

Translate messy legacy system data into a clean domain model using an anti-corruption layer in Python.

anti-corruption microservices data-transformation
Python
class MockLegacySystem:
    """Simulates a legacy system with messy data formats."""
    def get_user_data(self):
        # Legacy format: fields are abbreviated and types are inconsistent
        return {
            "usr_id": "USR-123",
            "usr_nm": "john_doe",
            "email_addrs": "John.Doe@example.c…
15 0 Open
Production deployment patterns medium

How to Drain a Connection Pool Before Exit in Python

Gracefully close all pooled sockets using a thread-safe ConnectionPool that drains connections before program exit.

connection-pool sockets threading
Python
import socket
import threading
import time
import random

class ConnectionPool:
    def __init__(self, size=5):
        self.pool = []
        self.lock = threading.Lock()
        self.closed = False
        for _ in range(size):
            self.pool.append(self.create_connection())
    
    def create_connection(sel…
13 0 Open

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