Introductions first A new entrant on the block, Julia has managed to garner a lot of buzz around itself in the past year. The language still in its nascent stages (unveiled only in 2012, developed and incubated at MIT, yes MIT! ) made an appearance in TIOBE’s “interesting moves” picks at 39th position in September 2018. But if you ask me, Julia has a long way to go and is yet to achieve what Python has already earned. Python was ranked the programming language of the year 2018 by TIOBE. Python is a favoured language among data professionals and widely used by them on a day to day basis with three out of four recommending aspiring data scientists to learn Python first. But then again, we are Analysts, we need data to corroborate our sayings. Let me try and breakdown some of the features of both the languages to get a more comprehensive view and perhaps you can declare the verdict yourself. JULIA – Features -Compiled and not interpreted: Julia is compiled by the LLVM and throws up issues like recompiling the code every time it is started up. -Not properly Developed: Considering its recent entry, […]
↧