NVIDIA CUDA Gets Python Support@ 2013/03/19
Easy to learn and use, Python is among the top 10 programming languages with more than three million users. It enables users to write high-level software code that captures their algorithmic ideas without delving deep into programming details. Python's extensive libraries and advanced features make it ideal for a broad range of HPC science, engineering and big data analytics applications. Support for NVIDIA CUDA parallel programming comes from NumbaPro, a Python compiler in the new Anaconda Accelerate product from Continuum Analytics.