Most efficient language to implement tensor factorization for Web Application
Python is just fine. I am a Python person. I do not know C++ personally. However, during my research of python the creator of mathematica stated himself that python is equally as powerful as mathematica. Python is used in many highly accurate calculations. (i. e. engineering software, architecture work, etc. . .)
I have implemented Tensor Factorization Algorithm in Matlab. But, actually, I need to use it in Web Application. 
So I implemented web site on Django framework, now I need to merge it with my Tensor Factorization algorithm. 
For those who are not familiar with tensor factorization, you can think there are bunch of multiplication, addition and division on large matrices of size, for example 10 000 x 8 000. In tensor factorization case we do not have matrices, instead we have 3-dimensional(for my purpose) arrays.
By the way, I m using MySQL as my database. 
I am considering to implement this algorithm in Python or in C++. But I can't be sure which one is better. 
Do you have any idea about efficiency of Python and C++ when processing on huge data set? Which one is better? Why?