Reference library

Automation & scripting

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4 matches

Bulk Rename Files in Python with Regex Replacement

Renames every file in a directory by applying a regex substitution to its filename using Python's stdlib re and pathlib.

automation regex pathlib

Python

import re
from pathlib import Path

def bulk_rename_regex(directory, pattern, replacement):
    path = Path(directory)
    renamed = []
    for file in path.iterdir():
        if file.is_file():
            new_name = re.sub(pattern, replacement, file.name)
            if new_name != file.name:
                new_pat…

17 0 Open

Automation & scripting easy

Create Mock Watermarked Image Bytes in Python Without PIL

Builds a mock image-like byte stream with an embedded watermark using only stdlib modules, for testing pipelines without PIL.

watermark bytes zlib

Python

from io import BytesIO
import zlib
import struct


def create_watermarked_bytes(width: int, height: int, watermark: bytes) -> bytes:
    """Create a mock image-like byte stream with a watermark (no PIL)."""
    header = struct.pack("<2I", width, height)
    payload = watermark * max(1, (width * height // max(1, len(wa…

13 0 Open

Automation & scripting easy

Create a Simple HTTP File Server in Python

This code creates a simple HTTP file server that serves files from the current working directory on port 8000 using Python's built-in http.server module.

http server file-server

Python

import http.server
import socketserver
import os

PORT = 8000
DIRECTORY = os.getcwd()

class CustomHandler(http.server.SimpleHTTPRequestHandler):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, directory=DIRECTORY, **kwargs)

    def log_message(self, format, *args):
        print(f"[{self.log…

56 0 Open

Automation & scripting easy

Generate Random Fake User Data for Testing in Python

This code generates a list of fake user dictionaries with random names, emails, ages, and timestamps using the Python standard library for testing purposes.

testing random data-generation

Python

import json
import random
import string
from datetime import datetime, timedelta

def generate_user_data(num_users=1):
    first_names = ["Alice", "Bob", "Charlie", "Diana", "Eve"]
    last_names = ["Smith", "Johnson", "Brown", "Taylor", "Wilson"]
    domains = ["example.com", "test.org", "demo.net"]
    
    users = …

39 0 Open

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