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🐍 py-playground

Welcome to py-playground — my personal coding space where I practice, experiment, and learn Python step by step.
This repo isn’t just for college assignments, it’s also a place I can come back to later when I need a quick refresh or want to see how far I’ve come.

I made this for my future self too because sometimes you forget the small details you once knew, and a well-kept repo makes it easy to pick things back up.


📌 What’s inside?

🌱 Basics

  • Print statements, variables, operators
  • Data types & type conversions
  • Conditional statements (if-else, nested if)
  • Loops (for, while)

⚡ Intermediate

  • Functions & modules
  • Lists, tuples, sets, dictionaries
  • File handling (read, write, append)
  • Exception handling

🚀 Advanced

  • Object-Oriented Programming (classes, objects, inheritance, polymorphism)
  • Recursion + algorithms
  • Libraries: NumPy, Pandas, Matplotlib (next target)

🎯 Mini Projects

  • Calculator (basic)
  • Guess the Number (CLI game)
  • To-Do List (CLI app)
  • More experiments and small projects coming soon 👩‍💻

✅ Progress Tracker

  • Basics covered
  • Functions & Data Structures
  • File Handling
  • OOP (currently learning)
  • Libraries (next milestone 🚀)
  • Bigger projects (planned for later ✨)

📖 Goals for this repo

  • Keep all my Python practice and projects in one place.
  • Stay organized so I (or anyone else) can follow along easily.
  • Build a habit of writing clean, readable code.
  • Have a reference for my future self when I forget the “small things.”
  • Document my growth as I go from basics → advanced → projects.

🔧 How to Run

  1. Clone the repo:

    git clone https://github.com/tanush-space/py-playground.git
  2. Navigate inside:

    cd py-playground
  3. Run any Python file:

    python filename.py

📚 Resources I’m Using


✍️ Author

Maintained by Tanush Guptatanush-space


⭐ If you’re reading this later (hello, future me), remember how you started here with the basics, and look at how much you’ve grown. Keep coding.

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My collection of Python programs: from basics to experiments.

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