🛠️ Generic Data Structures Library

Welcome to the Generic Data Structures library! This project is a work in progress aimed at providing a versatile collection of abstract data structures for C and C++. By leveraging void pointers, this library allows for a flexible approach to data management.

Table of Contents

• Features
• Installation
• Usage
• Data Structures Included
• Contributing
• License
• Contact

Features

• Generic Design: Use void pointers to create flexible data structures that can store any data type.
• Dynamic Memory Management: Efficiently manage memory for data structures like linked lists and dynamic arrays.
• Comprehensive Collection: Implement a variety of data structures including binary trees, graphs, queues, and stacks.
• Cross-Platform Compatibility: Works seamlessly on various platforms supporting C and C++.

Installation

To get started, clone the repository to your local machine:

git clone https://github.com/RahulRadhakrishnanNair/Generic_Data_Structures.git

Navigate to the directory:

cd Generic_Data_Structures

You can then build the library using your preferred C/C++ compiler. Ensure that you have the necessary development tools installed.

Usage

After installation, you can include the library in your projects. Here’s a simple example of how to use the linked list functionality:

#include "linked_list.h"

int main() {
    LinkedList* list = createLinkedList();
    int data = 10;
    addToList(list, &data);
    // More operations...
    return 0;
}

Refer to the documentation for detailed usage instructions for each data structure.

Data Structures Included

This library includes the following data structures:

• Linked Lists: Implemented using void pointers to allow for any data type.
• Dynamic Arrays: Manage arrays that can grow and shrink as needed.
• Stacks: LIFO (Last In, First Out) data structure for managing data.
• Queues: FIFO (First In, First Out) data structure for managing data.
• Binary Trees: A versatile tree structure for efficient data organization.
• Graphs: Represent relationships between data points effectively.

Linked Lists

Linked lists allow for efficient insertion and deletion of nodes. Each node can store data of any type using void pointers.

Dynamic Arrays

Dynamic arrays provide a way to manage arrays that can change size. This is particularly useful when the number of elements is not known in advance.

Stacks

Stacks are useful for scenarios where you need to access the most recently added element first. This is commonly used in algorithms and programming language implementations.

Queues

Queues are essential for scenarios where you need to process elements in the order they were added. This structure is often used in scheduling and resource management.

Binary Trees

Binary trees allow for efficient searching, insertion, and deletion of data. They are widely used in databases and memory management.

Graphs

Graphs are useful for representing complex relationships and networks. They can be directed or undirected and can represent various real-world scenarios.

Contributing

Contributions are welcome! If you would like to contribute to the library, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Create a pull request.

Please ensure that your code adheres to the coding standards and is well-documented.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or feedback, please reach out to me via GitHub or through the repository issues section.

Feel free to check the Releases section for the latest updates and downloads.

Thank you for your interest in the Generic Data Structures library! Happy coding!