It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes.

How to Read Multiple Files in a Loop in Python. Python is a general-purpose programming language for Web and desktop development. Python works well on both of these platforms because of its ...