It seems that though with in Julia, vectorized code is typically slower than non-vectorized, it is still faster than in R [1] &#x2F; Python [2].<p>[1] <a href="http:&#x2F;&#x2F;www.johnmyleswhite.com&#x2F;notebook&#x2F;2013&#x2F;12&#x2F;22&#x2F;the-relationship-between-vectorized-and-devectorized-code&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.johnmyleswhite.com&#x2F;notebook&#x2F;2013&#x2F;12&#x2F;22&#x2F;the-relati...</a><p>[2] <a href="http:&#x2F;&#x2F;blog.rawrjustin.com&#x2F;blog&#x2F;2014&#x2F;03&#x2F;18&#x2F;julia-vs-python-monte-carlo-simulations-of-bitcoin-options&#x2F;" rel="nofollow">http:&#x2F;&#x2F;blog.rawrjustin.com&#x2F;blog&#x2F;2014&#x2F;03&#x2F;18&#x2F;julia-vs-python-m...</a>