Materials and data for the Penn State Data Analysis Bootcamp deployed at https://bootcamp.biostars.io
The bootcamp is about reproducible research.
Let's see if we can reproduce the site that is about reproducible research... Hmmm...
First of all note that you don't actually need to fully generate this site yourself during the bootcamp. These instructions are here just to explain the process.
The website is generated from the files in the web directory of the bootcamp-central repository via the pyblue python package.
The pyblue program is written in Python. It is best if you use conda to create different Python environments, but using conda is not a strict requirement.
# Create a new Python environment.
conda create --name bootcamp python=3.8 -y
# Activate the environment.
conda activate bootcamp
# Install the pyblue package.
pip install pyblue --upgrade
# Clone the website content.
git clone https://github.com/biostars/bootcamp-central
# Switch to the repository.
cd bootcamp-central
# The default action is to run the server
make
the make command above invokes:
pyblue -r web
The above commands will start a web server on your computer and you can use the browser to view the contents of the site:
http://localhost:8000
To generate a published version of the site add the -o parameter
with a directory name that is meant to store the output destination
pyblue -r web -o /final/directory