This repository contains a collection of user-friendly tutorials and guides for working with the Siting Lab
data within the context of the reV model. The python code examples demonstrate the creation and transformation of
Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.
To interactively access the tutorial notebooks in this repository, first grab a copy of the repository by cloning it from GitHub:
$ git clone [email protected]:NREL/SitingLab.git
Before running any of the notebook tutorials, you should set up a Python environment that contains all the required dependencies and can launch jupyter for you.
All instructions below assume you are executing the commands from the root directory of the Siting Lab Tutorial code repository you just downloaded.
We use pixi to manage cross-platform Siting Lab Tutorial
environments. This tool allows developers to install libraries and dependencies in a
compatible and reproducible way. We keep a version-controlled pixi.lock
in the repository to allow locking with the full requirements tree so that
behaviors and results can easily be reproduced.
To use pixi, simply install it using the link above and then run the following command in the root directory of the Siting Lab Tutorial code repository:
$ pixi shell
You can install all the packages required for Siting Lab Tutorials using Python's
native package installer pip. We strongly recommend using an environment manager
like conda or mamba in this case. The steps below assume you have installed
conda on your machine.
-
Create a conda env:
conda create --name slt python=3.11. -
Activate the newly-created conda env:
conda activate slt. -
Install Siting Lab Tutorial dependencies using
pip:pip install .
Once your environment is installed and activate, you can run the following command to launch the jupyter server:
$ jupyter lab
Once the server starts, you can navigate to the URL shown on the terminal and access any notebook tutorial you wish!