A paper describing Pydron, Stefan Müller's parallelizing tool for Python code, has been accepted for publication at IEEE Computer in a special issue about computing in astronomy.
Scaling Astroinformatics with Pydron
Astronomers like working directly with their data using scripting languages such as Python. However, huge data volumes now force scientists to run their code on clusters and clouds. Pydron helps to bridge the gap between interactive data analysis and scalable computing resources.