Universal functions (UFuncs) in Numpy are designed to process arrays efficiently, operating element-wise on an array. These functions are implemented in C, making them much faster than Python loops.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operat ...

1 Creating arrays You can create arrays from existing Python lists or tuples, or use NumPy functions to generate arrays with specific values or patterns.

The ndarray.__array_function__ implementation seems special, it's not recognized when applying array_function_dispatch to a function outside of NumPy (which NEP 18 suggests is possible).

NumPy is known for being fast, but there's always room for improvement. Learn how to use Cython to iterate over NumPy arrays at the speed of C.