What is the ‘@=’ symbol for in Python?
I know @ is for decorators, but what is @= for in Python? Is it just reservation for some future idea?
matrix-multiplication
Difference between numpy dot() and Python 3.5+ matrix multiplication @
I recently moved to Python 3.5 and noticed the new matrix multiplication operator (@) sometimes behaves differently from the numpy dot operator. In example, for 3d arrays:
how does multiplication differ for NumPy Matrix vs Array classes?
The numpy docs recommend using array instead of matrix for working with matrices. However, unlike octave (which I was using till recently), * doesn’t perform matrix multiplication, you need to use the function matrixmultipy(). I feel this makes the code very unreadable.
How to get element-wise matrix multiplication (Hadamard product) in numpy?
I have two matrices
Why is matrix multiplication faster with numpy than with ctypes in Python?
I was trying to figure out the fastest way to do matrix multiplication and tried 3 different ways: