A Collection of Python Automation Scripts for Media Downloading, Email Alerts, Face Recognition, and More
The article showcases a variety of Python scripts that automate tasks such as subtitle and video downloading, IMDb data extraction, email notifications, PNR status checks, WhatsApp avatar monitoring, face recognition for photo sorting, and a custom DC++ sharing tool, providing code examples and usage details for each utility.
This article presents a curated set of Python scripts that automate everyday tasks, each accompanied by brief descriptions and code snippets.
Subtitle/Video Downloader – A script that fetches subtitles and video files from Subscene or OpenSubtitles, supports multi‑threaded downloading, and can resume after interruptions. Example usage:
import requests, threading
# download logic hereIMDb Query Generator – Uses an unofficial IMDb API to retrieve movie details and generate an Excel spreadsheet with rankings, titles, and additional metadata.
Someecards.com Downloader – Scrapes and downloads all e‑cards from the site, employing multi‑threading to speed up the process.
Gmail Email Notifier – Monitors a Gmail account via IMAP, filters messages from selected contacts, and sends SMS alerts using the Way2SMS service.
PNR Status Notifier – Periodically checks Indian railway PNR status pages and sends updates via SMS when the status changes.
YouTube Video Downloader – Downloads YouTube videos and associated subtitles, supports pause/resume functionality, and can run in the background.
WhatsApp Avatar Monitor – Uses Selenium to periodically download contact profile pictures; if a picture changes, the script sends a notification.
Photo Sorting with Face Recognition – Implements a GUI tool that detects faces using OpenCV, groups photos by recognized individuals, and allows manual naming of unknown faces. Sample code:
import cv2, os, numpy as np
from Tkinter import Tk
cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath)
def detect_faces(img_path):
img = cv2.imread(img_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)
return facesNalanda Course Material Downloader – Logs into the Nalanda portal, navigates course pages, and downloads lecture PDFs, PPTs, and other resources into organized folders.
Custom DC++ Sharing Tool – Automates DC++ hub connections, creates a local HTTP server to share files, and provides a web interface for users to browse and download shared content.
All scripts are provided for educational purposes and illustrate practical Python automation techniques across web scraping, file handling, GUI development, and network operations.
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