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Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams

Project description

sed

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Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams

Installation

Conda approach

Clone this repository and cd to its root folder. Create a new environment by typing:

conda env create -f env.yml

This should install all the requirements to run sed in your environment. To activate your environment:

conda activate sed_conda

If you intend to work with jupyter notebooks, it is helpfull to install a jupyter kernel of your environment. This can be done, once activating your environment, by typing:

python -m ipykernel install --user --name=sed_conda

Poetry approach (better, but more complex)

  • Prerequisites:

  • Clone this repository and check the python version within the [tool.poetry.dependencies] section of the pyproject.toml file

    • If your system is using a different Python version, use pyenv to create and activate a Python version compatible with the specifications from the pyproject.toml. See pyenv basic usage
  • Create a virtual environment by typing:

poetry shell
  • A new shell will be spawn with the new environment activated
  • Install the dependencies from the pyproject.toml by typing:
poetry install
  • If you wish to use the virtual environment created by poetry to work in a Jupyter notebook, you first need to install the optional notebook dependencies and then create a Jupyter kernel for that.
    • Install the optional dependencies ipykernel and jupyter
    poetry install -E notebook
    
    • Make sure to run the command below within your virtual environment ('poetry run' ensures this) by typing:
    poetry run ipython kernel install --user --name=sed_poetry
    
    • The new kernel will be eligible now from your kernels list in Jupyter

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