sed-processor 0.1.9

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

Backend to handle photoelectron resolved datastreams.

Installation

Pip (for users)

• Create a new virtual environment using either venv, pyenv, conda, etc. See below for an example.

python -m venv .sed-venv

• Activate your environment:

source .sed-venv/bin/activate

• Install sed, distributed as sed-processor on PyPI:

pip install sed-processor

• This should install all the requirements to run sed in your environment.

• If you intend to work with Jupyter notebooks, it is helpful to install a Jupyter kernel for your environment. This can be done, once your environment is activated, by typing:

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

For Contributors

To contribute to the development of sed, you can follow these steps:

1. Clone the repository:

git clone https://github.com/OpenCOMPES/sed.git
cd sed

2. Install the repository in editable mode:

pip install -e .

Now you have the development version of sed installed in your local environment. Feel free to make changes and submit pull requests.

Poetry (for maintainers)

• Prerequisites:

  • Poetry: https://python-poetry.org/docs/

• Create a virtual environment by typing:

poetry shell

• A new shell will be spawned with the new environment activated.

• Install the dependencies from the pyproject.toml by typing:

poetry install --with dev, docs

• 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 now be available in your Jupyter kernels list.