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rspeer 164 days ago link

Nike Air Max Womens Blue

Nike Air Max Womens Blue

a.__plus__(b), x y resolves to x.__pow__(y) rather than x.__asteriskasterisk__(y), say.

justincormack 165 days ago link

Try Eigen, you agree that NumPy is an array library that had linear algebra support thrown in as an afterthought.

Nike Air Max Womens Blue

Nike Air Max Womens Blue

Nike Air Max Womens Blue

> NumPy is a crappily designed libraryI don think you know what you talking about.

Nike Air Max Womens Blue

But, of course, starting out newbies with a dispreferred syntax and then expecting them to transition later causes its own problems. The two type solution is worse than the disease.

Nike Air Max Womens Blue

Nike Air Max Womens Blue

Of course it an array library. You still need an array library, so you could represent the inputs and outputs in a way that usable in Python. A vector you want to multiply is just a collection. a + b resolves to Nike Air Max Womens Blue a.__add__(b) rather than Air Max 2016 Running

jey 164 days ago link

Indeed, especially as the functions that are + and can vary based on type Air Max 2016 Ocean Fog

power

Nike Air Max Womens Blue

Nike Air Max Womens Blue

Dedicated infix operators for matrix multiplication and matrix 2016 Air Max All Black

too, as you can have them defined over any ring.

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