Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in ...

You can create arrays from Python lists or tuples using numpy.array() function. Example: - import numpy as np # Create a one-dimensional array from a list array1 = np.array([1, 2, 3]) # Create a ...

so that Cython knows how to interpret the argument as a NumPy array (fast) rather than a generic Python object (slow). Here’s an example of a Cython function declaration that takes in a two ...

This is a simple example on how to use boost.python and boost.numpy to call c++ code form python and convert numpy arrays to Eigen. To run (assuming you've boost.python already installed): git ...