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📘 Basic Data Structure

Welcome to the Basic-Data-Structure repository 🚀

This repository is a structured collection of fundamental Data Structure concepts implemented in C++. It is designed mainly for beginners who want to build a strong foundation in Data Structures through hands-on coding and clear logic.

This repo focuses on understanding how things work internally, not just memorizing solutions.


🎯 Purpose of This Repository

  • Build a strong base in Data Structures
  • Practice C++ syntax with real use-cases
  • Improve problem-solving and logical thinking
  • Prepare for DSA, competitive programming, and interviews
  • Keep all learning materials organized and revision-friendly

This repository reflects continuous learning — code quality improves as concepts become clearer.


📚 Topics Covered

Currently, this repository includes implementations and practice related to:

  • Arrays
  • Singly Linked List
  • Doubly Linked List
  • Stack
  • Queue
  • Basic problem-solving with Data Structures

⚠️ Tree and Graph are not included yet. They will be added later once fundamentals are fully solid.


📂 Repository Structure

Basic-Data-Structure/
├── Module-1/        // Arrays & basic operations
├── Module-2/        // Linked List (Singly & Doubly)
├── Module-3/        // Stack
├── Module-4/        // Queue
├── Module-5/        // Practice problems
├── Module-6/        // Assignments
├── README.md

(Folder names and content may expand as learning progresses.)


🛠 Language & Tools Used

  • Language: C++
  • Compiler: GCC / G++
  • Editor: VS Code (or any C++ compatible editor)
  • Version Control: Git & GitHub

🚀 How to Run the Code

  1. Clone the repository:
git clone https://github.com/Tauhidrana/Basic-Data-Structure.git
  1. Go to any module folder:
cd Basic-Data-Structure/Module-3
  1. Compile the C++ file:
g++ file.cpp -o file
  1. Run the program:
./file

Modify the code, break it, fix it again — that’s how real learning happens.


🧠 Learning Philosophy

This repository follows a slow but deep approach:

  • Understand logic before optimization
  • Write code by hand, not copy-paste
  • Learn why something fails, not just why it works

Data Structures are not magic — they are disciplined thinking in code form.


📌 Notes

  • Code may not always be optimized — clarity is the priority
  • Naming and structure improve over time
  • This is a learning repository, not a finished product

🤝 Contribution

This is mainly a personal learning repo. However:

  • Suggestions are welcome
  • Better approaches are appreciated
  • Constructive feedback is always valuable

⭐ Support

If this repository helps you understand Data Structures better, consider giving it a ⭐ on GitHub.

Consistency beats talent. Keep coding. 💻🔥

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