Python implementation of the Loop algorithm
A set of Python tools for building closed-loop insulin delivery apps (Python port of LoopKit)
To use this project
Please review the documentation for usage instructions, input data requirements, and other important details.
To recreate the Virtual Environment
- This environment was developed with Anaconda. You'll need to install Miniconda or Anaconda for your platform.
- In a terminal, navigate to the directory where the environment.yml is located (likely the PyLoopKit folder).
conda env create; this will download all of the package dependencies and install them in a virtual environment named py-loop. PLEASE NOTE: this may take up to 30 minutes to complete.
To use the Virtual Environment
In Bash run
source activate py-loop, or in the Anaconda Prompt
conda activate py-loop to start the environment.
deactivate to stop the environment.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pyloopkit-test-0.0.15.tar.gz (63.7 kB)||File type Source||Python version None||Upload date||Hashes View hashes|