📦 datakit – The Ultimate Data Structures Library

A Python library that brings together all data structures known to mankind! From linked lists to advanced graph structures, datakit is designed for efficiency, readability, and ease of use.

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🚀 Features

✅ Comprehensive DS – Stacks, Queues, Linked Lists, Trees, Graphs, and more.
✅ Optimized Implementations – Efficient and well-tested structures.
✅ Easy to Use – Simple API with clean abstractions.
✅ Extensible – Designed to be modular and extendable.

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📌 Installation

datakit isn't on PyPI yet, but you can install it locally:

git clone https://github.com/yourusername/datakit.git
cd datakit
pip install -e .

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📖 Usage

1️⃣ Linked List Example

from datakit.structures.linkedlist import SinglyLinkedList

ll = SinglyLinkedList()
ll.append(10)
ll.append(20)
ll.print_list()  # Output: 10 -> 20

2️⃣ Stack Example

from datakit.structures.stack import Stack

stack = Stack()
stack.push(5)
stack.push(10)
print(stack.pop())  # Output: 10

(Add more examples as your module grows!)

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🛠 Project Structure

datakit/
├── core/             # Common utilities (nodes, base classes, helpers)
├── structures/       # All data structures
│   ├── linkedlist.py
│   ├── stack.py
│   ├── queue.py
│   ├── tree.py
│   ├── graph.py
├── exceptions.py     # Custom exception handling
├── tests/            # Unit tests
├── README.md
├── setup.py          # Packaging for PyPI

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📣 Contributing

We’d love your help in making datakit even better!

1. Fork the repo & create a new branch.
2. Implement your changes and write tests.
3. Submit a Pull Request (PR).

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📄 License

datakit is licensed under the MIT License – feel free to use and modify it.

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🚀 Happy Coding with datakit!