Wong Edan's
Cover
Coding & Algorithms

Python Automation Madness: 60+ Scripts to Save Your Sanity

February 27, 2026 • By Azzar Budiyanto

The Tao of the Wong Edan: Why Manual Labor is for Mere Mortals

Greetings, you glorious digital scavengers and keyboard warriors! If you are reading this, you are likely sitting in a chair that costs more than my first car, staring at a screen that is emitting enough blue light to keep a small village awake for a week. You are probably also doing something incredibly stupid. No, I don’t mean your life choices—I mean your workflow. Are you still dragging files from one folder to another? Are you manually resizing images for your blog? Are you—heaven forbid—copying and pasting data from a website into a spreadsheet like some kind of medieval scribe? Stop it. Just stop.

I have reached a level of “Wong Edan” (that’s Javanese for “crazily obsessed,” for those who haven’t been keeping up with my lore) where if a task takes more than three clicks, I start twitching. My left eye begins to vibrate. I start smelling burnt toast. The only cure? Python. Specifically, a curated repository of over 60 Python scripts that are designed to do the boring stuff so you can get back to what really matters: arguing with strangers on Reddit and drinking excessive amounts of caffeinated sludge.

In this massive, sprawling guide, we aren’t just looking at “code.” We are looking at a philosophy of laziness elevated to an art form. We are diving deep into the GitHub repository that serves as the ultimate “Get Out of Jail Free” card for your daily digital chores. Buckle up, because we’re about to automate until it hurts.

The Holy Grail: A Curated List of 60+ Python Automations

Let’s talk about the star of the show. There is a specific repository on GitHub that is essentially a Swiss Army knife, but instead of a corkscrew and a tiny pair of scissors, it has script after script of pure productivity gold. Each folder is a tiny universe of efficiency. We’re talking about everything from PDF manipulation to web scraping, and from system maintenance to social media automation.

The Architecture of Laziness

What makes this collection special isn’t just the quantity—it’s the accessibility. Most of these scripts are “plug and play.” You don’t need a PhD in Computer Science to run them. If you can type python script_name.py into a terminal, you are already halfway to being a wizard. The repository is organized by category, making it easy to find exactly what you need when your boss asks you to do something “impossible” in ten minutes.

“True brilliance is found in the man who spends eight hours writing a script to automate a ten-minute task.” — Anonymous (Probably me, after three espressos).

Deep Dive: File and Folder Management

Let’s start with the basics. If your desktop looks like a digital garbage dump, you need help. Not the psychological kind (though maybe that too), but the Python kind. The “File Management” scripts in this curated list are life-savers.

1. The Mass Renamer

We’ve all been there. You download a series of files, and they are named things like IMG_5829.jpg, IMG_5830.jpg, and so on. You want them to be Project_Hawaii_01.jpg. Doing this manually is a soul-crushing experience. The mass renamer script uses the os and shutil libraries to iterate through a directory, identify specific patterns, and rename them based on your parameters. It’s like having a tiny, very fast intern living inside your hard drive.

2. The Directory Organizer

This is my personal favorite. You run this script in your “Downloads” folder, and it automatically moves .pdf files to a “Documents” folder, .jpg and .png to “Images,” and .zip files to “Archives.” It uses dictionary mapping to associate extensions with folder names. It’s simple, it’s elegant, and it prevents you from having to look at that 500-file mess every morning. Oalah! It’s like magic, but with more logic and less glitter.

Web Scraping: The “Data Scavenger” Methodology

Web scraping is often seen as some dark art, but in the world of Python, it’s just another Tuesday. The scripts provided in this collection utilize BeautifulSoup and Requests to pull data from the web without you ever having to open a browser.

The Price Tracker

Are you waiting for that specific mechanical keyboard to go on sale? Don’t refresh the page like a maniac. There’s a script for that. By targeting specific HTML tags (usually <span> or <div> with a specific class name), the script can check the price every hour and send you a notification if it drops below a certain threshold. It’s the ultimate “Wong Edan” move—saving money by writing code while you sleep.

The News Aggregator

Instead of visiting ten different tech blogs, you can use a script that scrapes the headlines from your favorite RSS feeds or websites and dumps them into a single, clean text file or a private Discord channel. This is how I stay informed without getting sucked into the “infinite scroll” of doom. Efficiency is the enemy of distraction.

Media Manipulation: From Chaos to Content

Working with media is usually a heavy-lift task involving expensive software. But Python says, “Hold my coffee.” Using libraries like Pillow (PIL) and PyPDF2, the scripts in this repository handle media like a pro.

The PDF Merger and Splitter

Adobe wants to charge you a monthly subscription just to merge two PDFs? Absolutely not. Not on my watch. The PDF scripts in this collection allow you to combine multiple documents into one or extract specific pages with a single command. It works by reading the binary streams of the PDF files and stitching them together in a new file object. It’s fast, it’s free, and it makes you feel like a genius.

Image Watermarking in Bulk

If you’re a photographer or a content creator, watermarking 100 images can take an hour in Photoshop. With the Python scripts available here, you point the script to a folder, give it your logo file, and boom—100 watermarked images in three seconds. It calculates the coordinates based on the image size, ensuring the watermark is always in the same spot, regardless of whether the photo is portrait or landscape.

System and Productivity: The “ADHD-Friendly” Automations

One of the search findings mentioned “ADHD Automations,” and I felt that in my soul. When you are “Wong Edan,” your brain moves faster than your body can keep up with. Python acts as the external frontal lobe we all desperately need.

The Pasta Water Alert

It sounds silly, but it’s brilliant. Using a simple timer or even integrating with smart home sensors via APIs, you can have your computer scream at you when the pasta water is boiling. No more burnt pots because you got distracted by a stack overflow thread. This is the pinnacle of human evolution: using a multi-billion dollar computing infrastructure to remind us to eat.

The Clipboard History Manager

Ever copied something, then copied something else, and realized you lost the first thing? A simple Python script can run in the background, monitoring your clipboard and saving every entry to a local SQLite database. You can then search through your history. It’s a “safety net” for your digital life.

The Advanced Frontier: GitHub Codespaces and Workflow Engines

Now, let’s talk about where you run these scripts. If you’re still setting up local environments and fighting with pip install errors on your local machine, you’re doing it the hard way. The search findings highlight GitHub Codespaces as a game-changer for Python automation.

Cloud-Based Execution

With Codespaces, you can host your automation scripts in a containerized environment in the cloud. This means your scripts can run independently of your local machine. Want a script to scrape data every day at 3:00 AM? You don’t need to leave your laptop open. Use GitHub Actions to trigger your scripts based on a schedule (cron job). It’s “set it and forget it” at its finest.

DAGs and Workflow Engines

For the truly “Edan” among us, there are workflow engines. Instead of running one script, you run a Directed Acyclic Graph (DAG). This is a fancy way of saying “Task A must finish before Task B starts, but Task C can run at the same time as both.” Python-based platforms like Prefect or Airflow (mentioned in the search results) allow you to build these complex chains of automation. If Task A (scraping data) fails, the system won’t try to run Task B (sending the email report), saving you from sending broken data to your boss.

The Ethics of the “One-Off” Script

One interesting find in our research was a tool that allows you to build an automation that deletes itself after one run. This is peak Wong Edan energy. Sometimes you don’t need a “system.” You just need a quick-and-dirty script to fix a specific problem right now. By creating a self-destructing script, you keep your environment clean and avoid the “clutter” of 500 files named test1.py, test2.py, and final_final_v3.py.

Why Cleanliness Matters

In the world of professional tech blogging and development, technical debt is real. Every script you write is a script you might have to maintain. The curated list we are discussing focuses on utility—scripts that are so small and focused that they don’t require maintenance. They do one thing, they do it well, and they stay out of your way.

Building Your Own: The Developer’s Mindset

While the repository offers over 60 scripts, the real value is in learning the patterns so you can write your own. The search results from LinkedIn and Reddit emphasize that using these scripts is the best way to master “Core Python.”

Mastering the CLI

The best automations are CLI (Command Line Interface) tools. Why? Because they are “composable.” You can pipe the output of one script into the input of another. Using libraries like Click or Argparse, you can turn a simple script into a professional-grade tool. Imagine a world where you don’t use a mouse for eight hours a day. Your carpal tunnel would vanish, and your productivity would skyrocket.

The Power of “Awesome” Lists

The repository we are discussing is part of the “Awesome” movement on GitHub. These are community-curated lists that filter out the noise. When you use a script from an “Awesome Python” list, you are using code that has been vetted by thousands of other “Wong Edan” developers who are just as picky as you are.

Case Study: The “Social Media Ghost”

Let’s look at a practical application. Imagine you have a curated list of Python scripts for social media. You can automate:

  • Image Generation: A script that takes a quote from a text file and overlays it on a random background image.
  • Posting: Using the Twitter or Instagram API to post that image at the optimal time.
  • Engagement: A script that likes posts with specific hashtags to keep your account active.

In this scenario, you are essentially a ghost in the machine. You provide the “soul” (the quotes and the logic), and Python provides the “body” (the execution). This allows you to build a brand while you’re busy doing something else—like sleeping or eating more pasta.

The Technical Stack: What’s Under the Hood?

For those who want the nitty-gritty, the scripts in the curated repository generally rely on a few “heavy hitter” libraries. If you want to be a master of automation, you need to know these:

  • OS and SYS: For navigating the file system and handling command-line arguments.
  • Requests: The gold standard for making HTTP requests. If you’re not using this, you’re living in the stone age.
  • Selenium: For when a website is a jerk and requires JavaScript to render. Selenium “drives” a browser like a human would.
  • Pandas: For when your automation involves data. If you need to move data from a CSV to an SQL database, Pandas is your best friend.
  • Schedule: A simple, human-friendly library for running jobs at specific intervals.

Conclusion: Embrace the Madness

At the end of the day, being “Wong Edan” about Python automation is about reclaiming your time. We live in a world that wants to drown us in “busy work.” Every manual task you perform is a piece of your life you are giving away for free. By leveraging a curated list of Python scripts—whether it’s the 60+ found in that glorious GitHub repo or the ones you write yourself—you are taking that time back.

Stop being the person who does the work. Be the person who builds the thing that does the work. Go to GitHub, clone that repository, and start experimenting. Break things. Fix them. Automate your pasta water. Automate your emails. Automate your very existence if you have to. Just don’t do it manually anymore.

Now, if you’ll excuse me, I have a script to write that will automatically order me a pizza whenever I finish a 2000-word article. Sampai jumpa!