Welcome to my Python programming solutions from the IIT Madras BS in Data Science main course. This repository is an educational resource, showcasing well-documented solutions to GRPA assignments and OPPE practice problems to support self-learning and concept reinforcement.

⚠️ Disclaimer:
All GRPA and OPPE questions are property of IIT Madras. This repository is shared under fair use for educational purposes only. If you're a student, use it ethically—not for plagiarism.
If IITM or any instructor has concerns, feel free to reach out for prompt removal.

Here’s a curated list of top-quality resources that align perfectly with the course and go beyond:

• 📘 IITM Python Course Site – pypod.github.io
  The official learning platform for Python programming, structured by week with notes, videos, and quizzes.

• 🎓 Prampreet Singh’s Playlist – Watch on YouTube
  An amazing Hindi explanation of the course content, week by week. Great if you prefer learning in your native language!

• 📘 Automate the Boring Stuff – automatethebboringstuff.com
  Fun and practical Python exercises like automating files, PDFs, and more. Makes learning feel real.

• 🧭 Python Roadmap – roadmap.sh/python
  A comprehensive learning path from beginner to advanced with tools, libraries, and career guidance.

• 🎓 CS50’s Introduction to Python – cs50.harvard.edu/python
  Taught by David Malan, this Harvard course blends solid theory with real-world problem sets. It’s polished, beginner-friendly, and teaches Python in a beautiful way.

• 💻 HackerRank Python Practice – hackerrank.com
  Sharpen your skills for exams and interviews. Solve structured challenges and grow your problem-solving mindset.

The OPPE exam is tough – many students struggle, and a large number end up getting a grade of ‘U’. But don’t worry, with the right preparation strategy, you can crack it confidently.

Here are some tips that helped me and could help you too:

• 🔁 Practice is everything – GRPA and OPPE questions often test logic and edge cases. Practice previous year questions (PYQs), and don't just read—code it out.
• 📂 Explore the oppe/ and Week XX/ folders in this repo for real practice problems.
• ⚔️ Simulate OPPE conditions – time yourself, avoid distractions, and try solving under pressure.
• 💻 Hackerrank & beyond – Use platforms like HackerRank to practice structured Python problems and build your logic for exam and interview scenarios.
• 🛠️ Learn by doing – Use Automate the Boring Stuff to apply Python in real-life tasks like file handling, data scraping, and automation. It makes learning way more fun and practical.
• 🚀 Don’t just solve – explore “why” it works. The better you understand the "why", the better you'll perform in unexpected questions.

📌 Consistency over cramming – Daily practice, even in small amounts, beats last-minute rushing. Turn solving problems into a habit.

Stay curious. Stay ethical. And don’t be afraid to fail—that’s where the best learning happens.

.
├── Week 01/
│   ├── grpa_q1.py
│   └── grpa_q2.py
├── Week 02/
│   ├── ...
├── oppe/
│   ├── practice-1
│   └── practice-2
├── README.md