About the school
This information is intended to the participants registered to attend the astronomical image processing school on June 12th.
The school will be structured as three 2 hours-long blocks. In each block the instructor will present a subject and propose some hands-on exercises. All the material relevant to each block (e.g. slides, exercises, etc.) will be attached to the agenda and will be also available after the school ends. The details of each block are available in the detailed timetable.
The hands-on exercises will use the Python programming language. If you intend to do the exercises, you are invited to have a working Python environment in your personal computer. We suggest you install Anaconda Python, both Python v3.6 and v2.7 will be fine.
The resources made available by the Berkeley Institute for Data Science's Python Boot Camp may help you getting familiar with Python if you so need. This Python Tutorial may also help.
We also suggest you to get familiar with Jupyter Notebooks as this is a convenient way for interactively experimenting with code. The Anaconda Python distribution already includes Jupyter, so no need to install it separately.
You may also want to install DS9 for visualisation and interaction with image data.
As a convenience for participants to the school, we plan to provide a Python Notebook server. You will connect to the server via a web browser (Google Chrome or Firefox preferred) which needs to be installed on your personal computer. Detailed instructions on how to connect to this ephemeral server will be provided as well as instructions for downloading the contents of your notebooks at the end of the school, for your own records.
