After cloning this repo,

first create a conda environment called sirah_target using the following command:

$ conda env create -f sirah_target_environment.yml

and install SciServer in the sirah_target environment:

$ conda activate sirah_target
(sirah_target)$ git clone https://github.com/sciserver/SciScript-Python.git
(sirah_target)$ cd SciScript-Python/
(sirah_target)$ python Install.py

then add sirah_target to your jupyter kernel:

(sirah_target)$ ipython kernel install --name "sirah_target" --user

define the following enviroment variables in your system or define it later in the notebook:

export SIRAHPIPE_DIR=<DIR_OF_THIS_REPO>
export SFD_DIR=<DIR_OF_SFDDATA>

download sfddata for dust correction:

wget https://github.com/kbarbary/sfddata/archive/master.tar.gz
tar xzf master.tar.gz

A directory "sfddata-master" will be created. Use it as <DIR_OF_SFDATA> above.

You should be able to run the demo_notebook.ipynb now.