Main side project of Gustavo Magaña López
Contact me at [email protected].
This is a personal project. It has two and only two scopes:
- Help me understand better my diabetes, i.e. quench a personal and academic curiosity.
- Explore different ways of adjusting my therapy, finding patterns through diverse techniques and algorithms.
If you decide to test it on yourself it is YOUR RESPONSIBILITY. Nothing within this repo is enodorsed by Medtronic or MySugr App. I am merely a patient using his own data and applying algorithms to it.
This project departed from my own knowledge of diabetes physiopathology. However, to make of this a valuable state-of-the-art tool I have decided to add also some docs. Publicly available scientific papers. These will be found in Docs/. If you want to consult them, these are the original sources:
If you have found anything that you consider pertinent/valuable for this project and have the proper copyright/ownership rights to share it, please do so! I'd be ravished to include it in the project (email it to me, or add it to your fork of this repo and send me a pull request).
This software has been tested on
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A 13-inch, Mid 2012 MacBookPro which is considered vintage (a.k.a. pre-obsolete). I've tampered with it, so it has 8 GiB RAM and a Samsung 1TB SSD. Latest (and last) test using macOS Mojave 10.14.6.
Virtual environments using poetry
Given the lack of reproducibility that Anaconda's virtualenvs have displayed in my personal experience, I've decided to fully migrate to poetry. These virtual environments have proven to be reliable, resisting constant migration between machines and operating systems.
All of the code has been developed using conda. Using the provided files within the repo "env.yml" and "requirements.txt" will facilitate running the scripts and notebooks here present. For futher information consult:
To create the virtual environment, make sure you have installed the latest version of Anaconda. Run the following command replacing ENV_NAME with the name you would like to give to the virtual environment:
conda env create --name ENV_NAME --file env.yml
You will be prompted for confirmation, accept typing 'y' on the interactive session. To activate the newly created environment, type the following command on your terminal:
conda activate ENV_NAME
Some dependencies (those which could not be installed through conda) were installed using pip. This is not the standard installation found on your machine (if you already had Python installed). Verify that you are using the correct pip by activating the virtual environment that you have designated for this repo (can be done via which pip).
Before installing dependencies via pip, make sure you have activated the virtual environment running conda activate ENV_NAME . Afterwards type:
pip install -r requirements.txt
Now you're ready to run the scripts and notebooks found on this repo.