As I wrote about previously I am working on a typed array language with the case of elliptic Fourier series as an example.
Elliptic Fourier series are a good example to kick the tires on array programming systems; J and Python, however, are both dynamically typed.
J and APL support (and encourage) a certain form of programming without error handling or library code reuse. The alternative wisdom goes against typical programming but it works together.
Recently, a post touting Numba was published. However, the example—a for loop—is unconvincing.
For data science, élites use use array languages such as J or k. However, Python is ubiquitous and thus one would assume it is capable of the same things.
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