A collection of C++ programs, organized by topic, to understand and practice Object-Oriented Programming (OOP) and core data-structure / algorithm concepts in C++.

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📂 Repository Structure

/
├── OOP/          — C++ programs demonstrating object-oriented programming concepts
├── array/        — Array-based problems & utilities
├── trees/        — Tree data-structures and related algorithms
├── questions/    — Various coding problems and practice exercises
├── .vscode/      — Workspace settings (for Visual Studio Code)
├── README.md     — Project overview and instructions
└── notes.md      — Personal notes, observations, tips

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✅ What’s Inside / Why This Repo

• Practice files to understand fundamental OOP concepts (classes, inheritance, encapsulation, polymorphism, etc.) in C++.
• Implementation of basic and intermediate data-structures / algorithms (arrays, trees, etc.), helping you build a strong foundation.
• A variety of coding problems (in the questions/ folder) — useful for honing problem-solving skills and preparing for interviews or competitive programming.
• A structured approach: by categorizing code by topic, it’s easier to navigate through learning material and track progress over time.

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🚀 How to Use / Get Started

1. Clone the repository:

   git clone https://github.com/pushparajwastaken/cpp_practice.git

2. Navigate to the folder relevant to what you want to explore. For example:

   ```bash
   cd cpp_practice/OOP
   ```
3. Compile & run a C++ file using your favourite compiler. Example (with `g++`):

   ```bash
   g++ MyProgram.cpp -o MyProgram
   ./MyProgram
   ```
4. You can also compile multiple files if needed (for projects needing more than one source/header file).

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## 📚 What You’ll Learn / Use Cases

* Understand and practice core OOP paradigms in C++.
* Get comfortable with writing and running C++ code from scratch (no external dependencies or frameworks).
* Use as a reference collection for data-structures, common problems, and typical coding patterns.
* Ideal for self-learning, interview preparation, or refreshing fundamentals before advanced projects.

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## ✨ Future / To-Do (Possible Enhancements)

* Add more data-structures (linked lists, graphs, heaps, etc.).
* Include algorithms on top of data-structures (sorting, searching, tree / graph traversal, dynamic programming, etc.).
* Add sample input/output or test cases for each file for easier testing and verification.
* Add comments and documentation for more complex programs to improve readability and maintainability.
* Add a “contributing guideline” if others want to contribute — to keep repository organized and consistent.

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