I looked at the article, the author does a number of tests with different versions of python to show that the interpreter (python is interpreted, not compiled) is getting faster and faster with each version. Then the author PROJECTS that future versions of python will continue to exhibit the same increase of speed compared to the previous version... a huge assumption, and projects an intercept point to his other language C++.
Of course this is fallacy.
That's similar to charting the temperature of a city in the northern hemisphere from winter to summer... and then predicting that (after some more time) that city will be as hot as the sun.
I guess I'm "that one guy" the author sort of dismisses.
I pick the correct language to write software for the application and requirement. C is useful for things at are in or near the kernel of the Operating System and which are run frequently and need to be executed taking the least amount of resource. python is good for data analytics, building software quickly, and you don't care so much about execution speed or resource usage, scripting language for those Q & D things you want to prototype.. and which have a limited scope, where you really don't case about speed or resource. Same with Java and javascript, html, etc.
And... some scientists are just married to using matlab and Fortran for doing their complex numerical modeling.
when you go build a house, you don't just take 1 hammer in the toolbox.
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