Pycuda for Python3 is much faster than C++. Python with Pycuda took only 0.03 seconds to finish counting to ten million with 640 cuda core processors on an Nvidia video card.

Execution speed? Not so much ... Cython lets you talk to the underlying libraries directly, without Python in the way. (C++ libraries are also supported.) You can use both C and Python memory ...

Typically, such libraries — like NumPy, for scientific computing — wrap high-speed math modules written in C, C++, or Fortran in a convenient Python wrapper. Numba transforms your Python code ...

C++ has been a cornerstone of systems programming for over four decades. Even as newer languages like Rust and Python have gained popularity for their modern features and safety guarantees, C++ ...

This issue is particularly pronounced when data is exchanged between Python and a native C++ runtime, a situation that is ubiquitous ... it performs computations in C or Fortran to help speed up ...