basic-data-structures 0.0.1
A collection of basic data structures in Python
Requires Python: >=3.6

Here’s a sample `README.md` template for your project, which is a collection of common data structures in Python (such as linked lists, stacks, queues, etc.).
        
        ---
        
        # My Data Structures
        
        A Python package that provides implementations of common data structures such as:
        
        - Singly Linked List
        - Doubly Linked List
        - Stack
        - Queue
        - Binary Tree
        
        This package is designed to be an easy-to-use resource for anyone interested in learning or working with fundamental data structures in Python.
        
        ---
        
        ## Features
        
        - **Singly Linked List**: A linked list where each node points to the next node.
        - **Doubly Linked List**: A linked list where each node points both to the next node and the previous node.
        - **Stack**: A LIFO (Last In First Out) data structure where elements are added and removed from the top.
        - **Queue**: A FIFO (First In First Out) data structure where elements are added at the rear and removed from the front.
        - **Binary Tree**: A tree structure where each node has at most two children, with left and right pointers.
        
        ---
        
        ## Installation
        
        You can install the package using `pip`:
        
        ```bash
        pip install my-data-structures
        ```
        
        ---
        
        ## Usage
        
        ### Singly Linked List
        
        To use the Singly Linked List:
        
        ```python
        from my_data_structures.linked_list import LinkedList
        
        # Create a LinkedList
        ll = LinkedList()
        
        # Insert elements
        ll.insertAtBeginning(10)
        ll.insertAtEnd(20)
        ll.insertAfter(15, 1)
        
        # Display the linked list
        ll.display()
        
        # Sort the list
        ll.bubble_sort()
        ll.display()
        ```
        
        ### Doubly Linked List
        
        To use the Doubly Linked List:
        
        ```python
        from my_data_structures.doubly_linked_list import DoublyLinkedList
        
        # Create a DoublyLinkedList
        dll = DoublyLinkedList()
        
        # Insert elements
        dll.insert_at_beginning(10)
        dll.insert_at_end(20)
        dll.insert_at(1, 15)
        
        # Display the doubly linked list
        dll.display()
        ```
        
        ### Stack
        
        To use the Stack:
        
        ```python
        from my_data_structures.stack import Stack
        
        # Create a Stack
        stack = Stack()
        
        # Push elements
        stack.push(10)
        stack.push(20)
        
        # Pop elements
        stack.pop()
        
        # Display the stack
        stack.display()
        ```
        
        ### Queue
        
        To use the Queue:
        
        ```python
        from my_data_structures.queue import MyQueue
        
        # Create a Queue with a size limit
        queue = MyQueue(3)
        
        # Enqueue elements
        queue.enqueue(10)
        queue.enqueue(20)
        
        # Dequeue elements
        queue.dequeue()
        
        # Display the queue
        queue.display()
        ```
        
        ### Binary Tree
        
        To use the Binary Tree:
        
        ```python
        from my_data_structures.binary_tree import BinaryTree
        
        # Create a Binary Tree
        bt = BinaryTree()
        
        # Insert elements
        bt.insert(10)
        bt.insert(20)
        bt.insert(5)
        
        # Search for a value
        bt.search(15)
        
        # Display the tree in different orders
        print(bt.inorder())
        print(bt.preorder())
        print(bt.postorder())
        ```
        
        ---
        
        ## Contributing
        
        Contributions are welcome! If you'd like to improve the project, feel free to fork the repository, make your changes, and submit a pull request. Here are a few ways you can contribute:
        
        - Implementing new data structures.
        - Adding tests for existing structures.
        - Improving documentation.
        
        ---
        
        ## License
        
        This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
        
        ---
        
        ## Contact
        
        If you have any questions or suggestions, feel free to open an issue on GitHub or contact me directly:
        
        - **Email**: aben.jacob3@gmail.com
        - **GitHub**: [@AbenezerAngamo](https://github.com/your-username)
        
        ---
        
        You can customize the content according to your needs, but this should serve as a solid base for your project's README. It includes essential sections like an introduction, installation instructions, usage examples, contributing guidelines, and contact information.