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PyDS-A: Python Data Structures and Algorithms Library - Your go-to resource for essential data structures and algorithms, implemented in Python. Improve your coding skills and optimize your programs with this comprehensive collection.

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AIBauchi/PyDS-A

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AI Bauchi

PyDS-A: Python Data Structures and Algorithms

PyDS-A is an open-source Python repository that provides a collection of data structures and algorithms to assist you in various programming tasks. Whether you're a beginner or an experienced developer, this library can help you learn and implement essential data structures and algorithms in Python.

Features

  • Includes various data structures like linked lists, stacks, queues, and more.
  • Implements common algorithms such as sorting and searching.
  • Well-documented code with examples for easy understanding.
  • Designed for educational purposes and practical use in projects.

Installation

You can install PyDS-A using pip:

pip install -e [email protected]:AIBauchi/PyDS-A.git#egg=pyds_a

Getting Started

Check out the documentation for detailed usage instructions, code examples, and API reference.

Usage

# Example usage of a linked list from PyDS-A
from pyds_a.data_structures.linked_list import LinkedList

# Create a linked list
my_linked_list = LinkedList()

# Insert elements
my_linked_list.insert(42)
my_linked_list.insert(15)
my_linked_list.insert(7)

# Print the size of the linked list
print(my_linked_list.size())  # Output: 3

Contributing

We welcome contributions from the community! If you want to contribute to PyDS-A, please read our Contribution Guidelines to get started.

Issues and Support

If you encounter any issues or have questions, please open an issue on the GitHub repository.

License

PyDS-A is licensed under the MIT License. See the LICENSE file for details.


By participating in this project, you agree to abide by our Code of Conduct.

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PyDS-A: Python Data Structures and Algorithms Library - Your go-to resource for essential data structures and algorithms, implemented in Python. Improve your coding skills and optimize your programs with this comprehensive collection.

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