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https://github.com/doniaskima/learncpp

Learning algorithms and data structures can significantly improve your programming skills, enabling you to write more efficient and optimized code, leading to better performance and maintainability of your software.
https://github.com/doniaskima/learncpp

algorithms cpp data-structures

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Learning algorithms and data structures can significantly improve your programming skills, enabling you to write more efficient and optimized code, leading to better performance and maintainability of your software.

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README

        

# Algorithm Learning with C++

This project is aimed at learning algorithms using the C++ programming language. It provides a collection of algorithms implemented in C++ along with explanations and examples.

## Table of Contents

- [Getting Started](#getting-started)
- [Algorithms](#algorithms)
- [Contributing](#contributing)
- [License](#license)

## Getting Started

To get started with this project, follow the instructions below:

1. Clone the repository to your local machine:

git clone https://github.com/doniaskima/LearnCpp

2. Install a C++ compiler, such as GCC or Clang, on your system if you don't already have one.

3. Explore the repository and navigate to the algorithm you want to learn.

4. Open the source file in a C++ editor or integrated development environment (IDE) of your choice.

5. Read through the algorithm implementation, comments, and any accompanying explanations.

6. Experiment with the algorithm by modifying the code or using the provided examples.

## Algorithms

This repository contains the following algorithms:

- Binary Search
- Bubble Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Selection Sort

Each algorithm is implemented in C++ and accompanied by explanations and examples to help you understand its working and usage.

## Contributing

Contributions to this project are welcome! If you'd like to contribute an algorithm implementation or improve the existing ones, please follow these steps:

1. Fork the repository.

2. Create a new branch with a descriptive name for your contribution:

git checkout -b master


3. Make your changes or additions to the codebase.

4. Write clear and concise commit messages.

5. Push your changes to your forked repository.

6. Open a pull request against the main repository, describing your changes and their purpose.

7. Wait for the maintainers to review and merge your pull request.