Enthought Secures $1M Python Grant
We are excited to announce that Enthought is undertaking a multi-year project to bring the strengths of NumPy to high-performance distributed computing. The goal is to provide a more intuitive and user-friendly interface to both distributed array computing and to high-performance parallel libraries. We will release the project as open source, providing another tool in our toolbox to help with data processing, modeling, and simulation capabilities in the realm of big data. The project is funded under a Phase II grant from the DOE SBIR program [0] [1], and is headed by Kurt Smith.