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 ...

Here’s an example of a Cython function declaration that takes in a two-dimensional NumPy array: These declarations inform Cython not just that these are NumPy arrays, but how to read from them ...

This is where NumPY comes in. The key element that NumPY introduces is an N-dimensional array object. The great flexibility of Python lists, allowing all sorts of different types of elements, comes at ...