Wuerzburg JetSeT Hands-on Session

git repo with notebooks

• to get the notebooks: git clone https://github.com/andreatramacere/Wuerzburg_Jetset_Lesson

OR if you don't have git installed on your machine

• download visiting https://github.com/andreatramacere/Wuerzburg_Jetset_Lesson

instructions for the hands-on session:

you can run all the notebooks on a remote server just press the link below (no need to download notebooks in this case)

run the notebooks

The jetset documentation (previous version: 1.1.2) is here: https://jetset.readthedocs.io/en/1.1.2/index.html but for the course we will youse the new one (pre release 1.2.0rc3) to install from the source (see next section).

Almost everything in: https://jetset.readthedocs.io/en/1.1.2/user_guide/user_guide.html will work with the version that we are using for the course, so you can use that documentation to get a feeling with the code

code installation for version 1.2.0

to avoid conflict in dependencies use python version in this range [3.6,3.8]

create virtual env (optional but strongly suggested)

• conda:

  conda create --name jetset python=3.7 ipython jupyter jupyterlab ipykernel

  conda activate jetset

  conda install ipython jupyter jupyterlab ipykernel (mandatory only if you did not create the environment)

• pip:

  pip install virtualenv

  virtualenv --no-site-packages venv jetset

  source jetset/bin/activate

  pip install ipython jupyter jupyterlab

get source code:

• move to temporary directory (different from the one where you have the notebooks)
• download https://github.com/andreatramacere/jetset/archive/1.2.0rc3.tar.gz
• uncompress 1.2.0rc3.tar.gz
• cd jetset-1.2.0rc3

install requirements

• conda:

  conda install --yes -c conda-forge emcee">=3.0.0"

  conda install --yes -c astropy --file requirements.txt

• pip:

  pip install -r requirements.txt

install jetset

python setup.py clean

python setup.py install

News

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