sed-processor 0.1.5a2

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

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

Installation

Pip (for users)

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

• 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 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_kernel

• To create an environment using venv, use

python -m venv .sed-venv

• To activate your environment:

source .sed-venv/bin/activate

Poetry (for developers)

• Prerequisites:

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

• 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