algoinfinite 0.2.1

A collection of algorithms and data structures in Python.

AlgoInfinite

A comprehensive collection of algorithms and data structures implemented in Python. AlgoInfinite provides efficient implementations of common algorithms and data structures for educational purposes and practical applications.

Features

• Data Structures: LinkedList, Stack, Queue, Binary Trees, and more
• Sorting Algorithms: QuickSort, MergeSort, BubbleSort, etc.
• Search Algorithms: Binary Search, Linear Search, etc.
• Graph Algorithms: Shortest Path, Minimum Spanning Tree, etc.
• Mathematical Algorithms: Prime Number generation, GCD calculation, etc.

Installation

Install the latest version of AlgoInfinite from PyPI:

pip install algoinfinite

Usage

Basic Import

# Import specific components
from algoinfinite.data_structures import LinkedList, Stack
from algoinfinite.algorithms.sorting import quicksort, mergesort

# Or import everything (not recommended for production code)
from algoinfinite import *

Data Structure Exaxmple

from algoinfinite.data_structures import LinkedList

# Create a linked list
my_list = LinkedList()
my_list.append(1)
my_list.append(2)
my_list.append(3)

# Display the list
print(my_list.display())  # Output: [1, 2, 3]

Algorithms Example

from algoinfinite.algorithms.sorting import quicksort

# Sort an array
unsorted_array = [3, 1, 4, 1, 5, 9, 2, 6, 5]
sorted_array = quicksort(unsorted_array)

print(sorted_array)  # Output: [1, 1, 2, 3, 4, 5, 5, 6, 9]

Command Line Interface (CLI)

AlgoInfinite also provides a command line interface for quick access to algorithms and data structures. You can run the following command to see the available options:

# Display a greeting message
madan-hello

# More tools will be added soon

Documentation

Comprehensive documentation will be available soon at https://algoinfinite.readthedocs.io

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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

License

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

Author

Madan Mohan Behera - GitHub - Email

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Made with ❤️ by Madan Mohan Behera