Installation#

From pip#

The best way to use this package is to install it via pip in a conda environment, with python 3.8 or 3.9.

First create your environment, with the environment name of your choice:

conda create -n <env_name> python=3.9

Then activate the environment:

conda activate <env_name>

and finally install scorepyo via pip

pip install scorepyo

From source#

If you want to use the latest development from scorepyo or contribute to the package, you should install it from Github.

You still have to create a conda environment beforehand :

conda create -n <env_name> python=3.9

Then activate the environment:

conda activate <env_name>

Clone the repository:

git clone https://github.com/drskd/scorepyo.git

Go to newly created scorepyo folder and launch the create_env function from codepal.py:

cd scorepyo

python codepal.py create_env -e <env_name>