New comment by stabbles in "My favorite things that are coming with Julia 1.0"

Concerning the "Giving up on Julia" article, it's very dated and dubious. Please read [1].

About the second quote: this is not about Julia being slower than Python; it's about avoiding cache misses. Obviously you should exploit contiguity of the data in memory. Secondly, the 'decorators' like "@inbounds" just ensure that Julia does not redundantly checks bounds, otherwise the inner loop has branches and cannot exploit SIMD.

[1] https://tk3369.wordpress.com/2018/02/04/an-updated-analysis-...

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