Python Software for Nutrition Optimization
Project description
Getting Started
Installation
The recommended way to install this software is with pip
:
pip install rcwa
And that's it!
Hello World Program
To run a simple example, run:
python -m rcwa.examples.bragg_mirror
Features
Documentation
This project is documented on Read The Docs. For additional information, including downloading examples, you can view this project on github.
Author: Jordan Edmunds, UC Irvine Alumnus, UC Berkeley Ph.D. Student
Date Started: 2020/01/05
License
This project is distributed under the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyNutrient-0.1.11.tar.gz
(5.4 kB
view hashes)
Built Distribution
Close
Hashes for pyNutrient-0.1.11-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab1eb5ed9e62a0cb2e10c20c279d82851a51d20332b4ead0dcb7f9022dedd03f |
|
MD5 | 05451193f2a3ca933b039c5178a6760f |
|
BLAKE2b-256 | 19584c1fcf669e5df8429e77f0b668670487f93bbc8f74ad86dc6367a3984fe9 |