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PyHamamatsu

Getting Started

To get started, install anaconda in your system.

Clone this repository

git clone https://github.com/ColdMatter/pyhamamatsu.git

Then create a new environment using the command

conda create -f environment.yml

After creating the environment activate the environment using

conda activate pyhamamtsu

Navigate to the pycaf directory

cd \your_path\pyhamamatsu

Here install pycaf in editable mode using the command:

pip install -e .

Dependencies

The main libraries used in this project are:

  • DCAM SDK: Used for the interfacing the camera.
  • NumPy: Used for numerical computing.
  • Matplotlib: Used for creating visualizations.

Contributing

If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request. Contributions are welcome and encouraged!

License

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

Acknowledgments

We would like to acknowledge the open-source community for creating and maintaining the essential Python libraries used in this project. Their efforts make data analysis with Python accessible and efficient for everyone.