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C++ for Data Structures and Algorithms

C++ License: MIT Build Status Contributions Welcome

A comprehensive repository containing C++ implementations and examples for learning Data Structures and Algorithms. This project is organized by weeks and modules to provide a structured learning path from basic C++ concepts to advanced DSA topics.

📋 Table of Contents

✨ Features

  • Structured Learning Path: Organized by weeks and modules for progressive learning
  • Comprehensive Coverage: From basic C++ to advanced DSA concepts
  • Practical Examples: Real-world implementations and problem-solving
  • Modular Organization: Easy navigation through different topics
  • Beginner Friendly: Suitable for students starting with C++ and DSA

📋 Prerequisites

Before you begin, ensure you have met the following requirements:

  • C++ Compiler: GCC, Clang, or MSVC (C++17 or later recommended)
  • Build System: Make, CMake, or any C++ IDE
  • Basic Knowledge: Understanding of programming fundamentals
  • Operating System: Windows, macOS, or Linux

🚀 Installation

  1. Clone the repository:

    git clone https://github.com/your-username/Cpp-DSA.git
    cd Cpp-DSA
  2. Compile and run individual files:

    g++ filename.cpp -o output
    ./output
  3. For projects with multiple files:

    g++ *.cpp -o program
    ./program

📁 Complete Directory Tree

C++_For_DSA/
├── README.md
├── Week_01/
│   ├── Module_01/          # Basic C++ Concepts
│   ├── Module_02/          # Dynamic Memory Management
│   ├── Module_03/          # Classes and Objects
│   ├── Module_04_Mid_Term_Exam/  # Mid-term Practice Problems
│   ├── Module_2.5/         # Additional Practice Problems
│   └── Module_3.5/         # Advanced Practice Problems
├── Week-02/
│   ├── Module_06/          # Strings and Advanced Concepts
│   ├── Module_07/          # Arrays and Sorting Algorithms
│   ├── Module_08_Final_Exam/  # Final Exam Practice Problems
│   ├── Module_5/           # Additional Modules
│   └── Module_7.5+6.5/     # Combined Practice Modules

📚 Topics Covered

Week 1: Foundations

  • Module 1: Input/Output, Data Types, Operators, Control Structures
  • Module 2: Dynamic Memory Allocation, Pointers, Arrays
  • Module 3: Object-Oriented Programming Basics, Classes, Objects
  • Module 4: Mid-term Exam Practice Problems

Week 2: Advanced Concepts

  • Module 6: String Manipulation, Namespaces, References
  • Module 7: Array Operations, Sorting Algorithms (Selection, Counting, Custom)
  • Module 8: Final Exam Practice Problems

Practice Modules

  • Module 2.5 & 3.5: Additional algorithmic problems
  • Module 7.5+6.5: Combined advanced practice

🎯 Learning Objectives

By the end of this course, you will be able to:

  • Understand and implement basic C++ programming concepts
  • Work with dynamic memory allocation and pointers
  • Create and manipulate classes and objects
  • Implement various sorting algorithms
  • Handle string operations and manipulations
  • Solve algorithmic problems efficiently
  • Apply DSA concepts to real-world problems

▶️ How to Run

Each module contains individual C++ files that can be compiled and run independently:

  1. Navigate to the desired module directory
  2. Choose a C++ file to run
  3. Compile using your preferred C++ compiler
  4. Execute the compiled program

Example:

cd Week_01/Module_01
g++ 01_Print_cout.cpp -o print_example
./print_example

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

Steps to Contribute:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


Star this repository if you find it helpful!

Happy Coding! 🚀

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A structured C++ repository for Data Structures and Algorithms, covering fundamental to advanced topics through organized weekly modules with practical implementations and problem-solving exercises.

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