python-data-structures-bootcamp 0.1.2

This is my first try in building package

Python Data Structures

A Python package that provides implementations of common data structures such as:

• Singly 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.

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Features

• Singly Linked List: A linked list where each node points to the next 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.

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Installation

You can install the package using pip:

pip install python-basic-data-structures

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Usage

Singly Linked List

To use the Singly Linked List:

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()

Stack

To use the Stack:

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:

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:

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())

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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.

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License

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

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Contact

If you have any questions or suggestions, feel free to open an issue on GitHub or contact me directly:

• Email: [e-mail]
• GitHub: @Mahamat19

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