+1 to python bindings. It would be interesting to see how well Mnemonic performs compared to hooking up other pmem libraries within LAPACK libraries (e.g. ATLAS) ... https://docs.scipy.org/doc/numpy-1.10.1/user/install.html
On Wed, May 24, 2017 at 4:28 PM, Gang(Gary) Wang <ga...@apache.org> wrote: > Hi Folks. > > As the Python is one of hottest programming language nowadays, so why not > to have a Python binding for Mnemonic ? > > The basic idea is to make Java durable objects available to Python code. > thus Python developer is able to take benefits from durable object model, > even durable computing model. > > On top of Mnemonic python binding, we could further construct > Numpy/Pandas/Scipy-like data structures and functionality for vectoring > algorithms with durable features in-place. > > Very truly yours. > Gary > -- -Debo~
