Python implementation of the Loop algorithm
Project description
PyLoopKit
A set of Python tools for building closed-loop insulin delivery apps (Python port of LoopKit)
Link to Tidepool Loop repository version used for algorithm
Link of Tidepool LoopKit repository version used for algorithm
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).
- Run
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
run conda activate py-loop
to start the environment.
Run deactivate
to stop the environment.
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