For the first time ever, NumPy—a core project for the Python scientific computing stack—has received grant funding. The proposal, “Improving NumPy for Better Data Science” will receive $645,020 from the Moore Foundation over 2 years, with the funding going to UC Berkeley Institute for Data Science. The principal investigator is Dr. Nathaniel Smith. NumFOCUS congratulates Nathaniel and all of the NumPy contributors for achieving this important milestone!
The NumPy project was started in 2006 by Travis Oliphant. NumPy provides support for numerical programming in Python, which is critical for data-driven research. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined, which allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
To make a donation in support of NumPy, click here.