Let's demystify the concept of the "invisible line." Consider how we generate data in Python, for example: list = [1] * 1_000_000. Python stores the data in its appropriate data representation and ...

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. If you want, for instance, ...

Gommers added, "Really long-term I expect the NumPy 'execution engine' (i.e., the C and Python code that does the heavy lifting for fast array operations) to become less and less relevant, and the ...