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 ...

NumPy gives Python users a wickedly fast library for working with data in matrixes. If you want, for instance, to generate a matrix ... To create a memoryview, you use a similar syntax to the ...

Both libraries work at a fairly low level of abstraction, which means that a solid knowledge of Python is important when working with either library. Additionally, both libraries make extensive use of ...