Numpy was the fusion of competiting numerical libraries for Python, and now it is quite stable. I think point still applies for new developing software: multip

Numpy was the fusion of competiting numerical libraries for Python, and now it is quite stable. I think point still applies for new developing software: multiple implementations can corroborate each other or help identify bugs.