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NumPy Broadcasting Example

Overview

This project demonstrates the efficient array operations facilitated by NumPy broadcasting. Whether you're a beginner exploring NumPy or an experienced data scientist, this project will provide valuable insights into broadcasting and its applications in array manipulation. play with it!

Features

  • Generate random datasets for demonstration
  • Perform element-wise addition using broadcasting
  • Visualize original datasets and the result

Installation

  1. Clone the repository:

    git clone https://github.com/RavinduPabasara/broadcasting-example.git
  2. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Navigate to the project directory:

    cd broadcasting-example
  2. Run the main script:

    python main.py

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature)
  3. Make your changes
  4. Commit your changes (git commit -am 'Add new feature')
  5. Push to the branch (git push origin feature)
  6. Create a new Pull Request

License

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

Acknowledgements

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An example project to give a overview on NumPy broadcasting

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