Built for Speed: ActivePython, Intel® MKL and Mathematical Computing

Power your science, engineering and financial applications with ActivePython Business Edition.

Number-crunching extremely large amounts of data in mathematical computing applications takes significant computing resources. Making use of NumPy for in-memory handling of large datasets is a common practice. ActivePython now leverages the Intel® Math Kernel Library to deliver significant performance enhancements.