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> Node.js too was a terrible idea. Who in their right mind would write server-side javascript? It turns out: pretty much anyone who didn't want to have to screw around for hours before being able to respond to a simple http request.

Pretty sure you could do that as easily in PHP, Ruby, Python, Perl before Node.

> And what about Python for data analysis? The one language that is known to be 10x slower than C becomes the de-facto standard for a field where what matters most is code performance. Again: ease of programming.

When code performance matters most, you're probably still using Hadoop, C/C++, Fortran. Python is mostly in competition with R, Matlab, SPSS and Excel. Julia is the new kid on the block, and it was designed to be more performant than Python and R.



> Pretty sure you could do that as easily in PHP

PHP is awful but still the best option for making something simple very fast, as it is supported virtually in every kind of provider, even free ones.




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