Reference library

Automation & scripting

CLI tools, scheduled jobs, filesystem tasks, and glue scripts that save time.

4 matches

Build a Python Utility That Verifies Backup Integrity Automatically

Automatically compute and verify SHA-256 checksums of backup files using a JSON manifest to detect missing or corrupted data.

sha256 backup integrity

Python

import hashlib
import os
import json

def compute_checksum(filepath, algorithm='sha256'):
    """Compute checksum for the given file."""
    hash_func = hashlib.new(algorithm)
    with open(filepath, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b''):
            hash_func.update(chunk)
    return hash_f…

52 0 Open

Automation & scripting medium

Find the Largest Files Consuming Disk Space with a Beautiful Terminal Report in Python

Scan a directory recursively and print a formatted terminal report of the largest files, with human-readable sizes.

file-system disk-space pathlib

Python

import os
import sys
from pathlib import Path

def get_largest_files(directory: str, count: int = 10) -> list:
    """
    Scan the given directory and return the largest files.
    
    Args:
        directory: Path to the directory to scan
        count: Number of largest files to return
        
    Returns:
      …

44 0 Open

Automation & scripting medium

Generate Beautiful Project Documentation from Python Source Code Automatically

Automatically generate a markdown summary of function docstrings from any Python source file using the AST module.

ast automation documentation

Python

import ast
import inspect
from pathlib import Path

def extract_docstrings_from_file(filepath):
    """Parse a Python file and collect function docstrings."""
    source = Path(filepath).read_text()
    tree = ast.parse(source)

    docs = []
    for node in ast.walk(tree):
        if isinstance(node, (ast.FunctionDef…

34 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…

36 0 Open

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