Since 2015, I am the lead developer for glue, a package for multi-disciplinary and multidimensional data visualization and exploration. The main feature of glue is the ability to make linked selections between viewers and link together different datasets. Glue is being used for astronomy, medical science, remote sensing data, and data science.
I am one of the three co-ordinators and one of the lead developers for the Astropy project, which aims to develop a core Python package for Astronomy, and to foster inter-operability between Python Astronomy packages. Astropy has already had a couple of major releases, and development is very active.
My software development experience in the Python world started back in 2008. Shortly after learning Python, and in collaboration with Eli Bressert, we co-developed APLpy, a Python package to make publication-quality plots of Astronomical images, as well as ATpy, a package to read, write, and manipulate tabular data. Since then, and aside from Astropy, I have led the development of a number of other small packages, including:
sedfitter, a package to fit spectral energy distributions (SEDs) to observations. This was developed as part of my work on modeling observations from forming stars.
psrecord, a command-line utility to log the CPU and memory usage of a task more easily.