Theashm

Menu
This content has been restricted to logged-in users only. Please log in to view this content.

Automate the Boring Stuff with Python

Stop doing repetitive tasks manually. Learn how to write Python scripts that save you hours every week and boost your productivity in studies and beyond.

Why Python for Automation?

Python is the #1 language for automation because of its simple syntax and powerful libraries. Whether you’re renaming hundreds of files, scraping web data for a project, or automating Excel reports, Python can do it in a few lines of code.

  • Easy to Learn: Clear and readable syntax, perfect for beginners.

  • Rich Ecosystem: Thousands of libraries for every automation task.

  • Cross-Platform: Runs on Windows, macOS, and Linux.

  • In-Demand Skill: Highly valued in industries for IT automation, testing, and data processing.

What You Will Learn

In this track, you’ll master the following:

  • Python Basics for Automation: Variables, loops, conditionals, functions, and file handling.
  • Working with Files and Directories: Automate file organization, batch renaming, and data extraction from documents.
  • Web Scraping & Automation: Collect data from websites using BeautifulSoup and Selenium.
  • Automating Excel and CSV Operations: Use pandas and openpyxl to process spreadsheets.
  • Automating Email and Notifications: Send emails and messages automatically.
  • GUI Automation: Control mouse and keyboard with pyautogui for desktop automation.
  • Scheduling Tasks: Run your scripts automatically at set times.

Real-World Projects

Build these projects to solidify your skills:

  • Project 1: Automated File Organizer
    A script that sorts files in your Downloads folder into categorized folders (Images, Documents, etc.) based on file type.

  • Project 2: Web Scraper for Price Tracking
    Scrape an e-commerce website to track product prices and send you an email when the price drops.

  • Project 3: Auto-Fill Web Forms
    Automate filling out repetitive online forms (like job applications) using Selenium.

  • Project 4: Report Generator
    Automate the creation of a weekly sales report by pulling data from an Excel file, generating charts, and emailing the report.

Learning Path

Follow this structured path:

  1. Week 1-2: Python Fundamentals

    • Data types, loops, functions, and error handling.

    • Practice: Write small scripts to calculate and manipulate text.

  2. Week 3-4: File and OS Automation

    • Working with the os and shutil modules.

    • Practice: Build a file organizer.

  3. Week 5-6: Web Automation & Scraping

    • HTML basics, requests, BeautifulSoup, and Selenium.

    • Practice: Build a web scraper for a news website.

  4. Week 7-8: Data Automation

    • Using pandas for CSV/Excel automation.

    • Practice: Generate a report from raw data.

  5. Week 9-10: Advanced Automation

    • GUI automation with pyautogui, email automation, and task scheduling.

    • Practice: Build a script that automates a desktop application.

Tools & Libraries

  • BeautifulSoup & Requests: For web scraping without a browser.

  • Selenium: For browser automation and testing.

  • Pandas: For data manipulation and analysis.

  • Openpyxl / XlsxWriter: For working with Excel files.

  • PyAutoGUI: For GUI automation.

  • SMTPLib: For sending emails.

  • Schedule: For scheduling tasks.

Success Stories

"I used to spend 3 hours every week generating reports at my internship. After learning Python automation, I wrote a script that does it in 5 minutes. My manager was impressed!"
Rohan
CS Student
"The web scraping projects helped me gather data for my final year project without manual copying. I saved countless hours and scored an A!"
Priya
Data Science Student

FAQs

Do I need prior programming experience?

No, this track starts with the basics. However, some logical thinking will help.

Just a computer with Python installed. We’ll guide you through setting up everything.

Absolutely! Many students use automation for data collection, analysis, and report generation in their projects.

Within the first 2 weeks, you’ll be writing simple scripts. By the end of 2 months, you’ll be able to tackle complex automation projects.

Call to Action

Ready to stop doing manual work? Join our Applied Python & Automation track and start building time-saving scripts today.

Get Started for Free