In the era of big telescopes and big data, data analysis practices need to scale to the volume of data processing and analysis needed for researchers to compete in a world-class arena.

This 3 day workshop is aimed at postgraduate students and ECRs who might not have had formal computational training and would like to get up to speed. Practical examples in the workshop are taken from observational astronomy, however, participation is open to all Australian-based astronomers.

You don’t need to have any previous knowledge of the tools that will be presented at the workshop. However, if you are planning to come to only some of the workshop days you will need to have an understanding of the material taught on the previous day(s).

Tickets can be purchased for each day individually or for the full 3-day workshop.

The workshop is BYO catering, however, we will provide drinks and food at the sundowner.

Remote participation is also possible via webex, note that times are in AWST. If you would like to participate remotely please select the remote ticket option and the organisiers will contact you with the details on how to join the workshop.

Day 1 - Introduction to computing best practices in Python

• Keynote - Astronomer’s toolkit

• Version control (Git)

• Python

• Introduction to python

• Introducing jupyter notebooks

• Visualisations

Day 2 - Data Science for Astronomers

• Python

• Pandas

• Astropy tutorials

• Plotting

• Data Acquisition and Virtual Observatories

• Introduction to virtual observatories

• Topcat, crossmatch, ...

• SQL and ADQL

• Dealing with fits files

• Integration with Python

Day 3 - Advanced topics

• Introduction to machine learning in Python (scikit-learn)

• Introduction to Nimbus (Pawsey cloud)

• Clinic/helpdesk

• Sundowner
  

For more info please visit the workshop webpage.