one mission:

tech savvy astro

Bringing tech tools, tutorials and industry knowledge to astronomers. Promoting blue sky and community developed software and tools. Building tech savvy research communities. Empowering researchers to redesign their careers.


tech savvy PHILOSOPHY:

become an expert.


learn industry tools & TRENDS


Skilled data scientists are in great demand worldwide. Astronomers with strong skill sets that include data science, statistical methods, visualisation & tech skills, are moving to sought after roles in leading tech-companies. Keeping up to date with industry knowledge and trends is important.

Develop for research

The development of new tools & data analysis techniques will be crucial for science teams to deliver rapid, cutting-edge science. There is a growing demand for astronomers who can understand machine-learning methods, build tools to enhance their research, & contribute to community development.

ManagE the data deluge

The next generation telescopes & large science surveys will require astronomers to effectively manage & exploit large, complex, datasets. Turning data into scientific knowledge is becoming  increasingly more difficult, as traditional techniques don't easily scale to the petabytes of data that will be produced.


join the community:

get involved.

The Python in Astronomy and .Astronomy conferences; AAS, NAM & SPIE Hack Days; and the Astro Hack Week, SciCoder, and ANITA workshops, bring together a diverse community of astronomers, instrument scientists, software developers, data archivists, wranglers, and educators. They provide a forum for discussing the latest tech tools, skills sharing, digital literacy, promoting best practises in scientific computing, and the opportunity for astronomers to create or "hack" innovative research and outreach tools in a collaborative environment. Past events have focussed on a diverse range of topics from web development, machine learning, Bayesian inference, frequentist statistics, databases, version control, statistics with R, numerical Python, effective computing, optimisation and sampling, to interactive data visualisation.


JOIN the community

Want to get involved? Find a conference and start collaborating.


Create innovative web projects. Turn hack ideas into robust tools for the community. Develop core-skills and create a data-science project portfolio. 


Looking for something specific?  Need help?
Reach out on Twitter.