Julia is a multi-paradigm, primarily functional programming language that was created for machine-learning and statistical programming. Python is another multi-paradigm programming language that is used for machine-learning, though generally Python is considered to be object-oriented.

Julia, on the other hand, is more based on the functional paradigm. Though Julia certainly isn’t as popular as Python, there are some huge benefits to using Julia for Data Science that make it a better choice in a lot of situations that Python. №1: Speed It’s hard to talk about Julia without talking about speed. Julia prides itself on being very fast. Julia, unlike Python which is interpreted, is a compiled language that is primarily written in its own base.

Source: towardsdatascience.com
Author: Emmett Boudreau