Installation
Contents
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>