To do the assignments you will need Python 3.x with Astropy, plus Jupyter and many other dependencies of these packages.
All the required software is already installed in the Institute's Linux machines, to which you can connect to. See the guide on how to use Python at ITA.
If you have problems installing the software, you can, as a last resort, run the notebooks from a cloud-based solution via Binder. This has its own issues (e.g. Binder being unavailable, timeouts after 10 minutes of inactivity, etc.), so be sure to save frequently ("Save" and then download to your computer). Here's the binder link: .
Installing in your own laptop¶
You can also install the software in your laptop, which may be a more convenient option. The easiest way to do this is using the miniconda or Anaconda Python distributions (python 3.x versions). Miniconda is recommended because it is a smaller download, but Anaconda works just as well if you already have it or are more familiar with it.
Once you have conda installed (either a new install or an older version), the recommended way to install the packages is to create a new enviroment (we'll call it
ast4310) to ensure you have the most recent versions. You can do this by:
conda create -n ast4310 -c conda-forge --yes python=3.7 jupyterlab sunpy ipympl bqplot nodejs
This will download about 140 MB and install all the needed dependencies. Next, you need to activate this environment:
source activate ast4310
Every time you want to use the newly installed python packages, you must ensure you are running from the
ast4310 environment. Once active, your prompt will start with
(ast4310). If you open a new terminal, you will need to activate the environment again.
For Jupyterlab, you will also need to install the extensions:
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib jupyter lab build
A notebook is a document where you can combine text, images, and source code. If you are unfamiliar with Jupyter, there are several guides and tutorials. We recommend you use Jupyterlab, the next-generation version of Jupyter. But you can also use the classical notebook interface.
To make sure you have all necessary software ready, start Jupyterlab from the terminal (after activating the
This will then open up a browser with the Jupyterlab launcher. Choose "Python 3" notebook, and it will start a new notebook. In the first cell enter the following and run:
from astropy import units import matplotlib.pyplot as plt
If you got no error messages above, your installation is good and you are ready to start!
Repository for materials¶
The assignment and tutorial materials are available on a Github repository. Please clone the repository into a directory of your choice:
git clone https://github.com/ITA-Solar/ast4310.git
This will create a directory
ast4310. In the terminal, go to that directory and then start jupyter lab.