Design and Analysis of Algorithms Library in C++ with Python bindings

This is a library for designing and analyzing algorithms, implemented in C++. It also has Python bindings via pybind11. The library includes implementations for common problems like the 0-1 knapsack and sorting algorithms.

Features

Implementation of the 0-1 knapsack problem using dynamic programming Implementation of common sorting algorithms like quicksort and mergesort Python bindings using pybind11 for easy use in Python projects Well-commented and easily understandable C++ code Description

This library provides a set of algorithms implemented in C++ that are designed for solving various problems related to designing and analyzing algorithms. It includes common algorithms for sorting, such as quicksort and mergesort, as well as an implementation for the 0-1 knapsack problem, which is solved using dynamic programming.

One of the main benefits of this library is that it includes Python bindings via pybind11, which means that the C++ code can be easily used in Python projects. This can save time and effort when implementing algorithms in Python, as users can take advantage of the well-tested and optimized C++ implementations provided by this library.

The C++ code is well-commented and easy to understand, making it a good resource for learning about algorithms and how they can be implemented. The code is also highly modular, which means that users can easily modify and extend it to suit their needs.

Installation

To use this library, users can either build it from source or install it using a package manager such as pip. The library can be built from source by cloning the repository and running CMake to generate the build files. Once the build files have been generated, the library can be built using the standard CMake build process.

To install the library using pip, users can run the following command:

pip install pydaa

Once the library has been installed, it can be imported into Python projects using the standard import statement.

Conclusion

The Design and Analysis of Algorithms Library is a useful resource for anyone looking to implement common algorithms in their projects. With its Python bindings and well-commented C++ code, it provides a straightforward and accessible way to learn about algorithms and their implementation.