Julia vs Python: Which is best for Data Science?

[NiveRoshni]

Julia vs Python: Which is best for Data Science?



The open-source programming language, Julia is picking up popularity among developers across the world. With the emergence of advanced features, Julia can replace Python as the dominant programming language for Data Science.

The multi-paradigm and functional programming language, Julia is used for scientific computation and mathematical programming. Julia is much faster than Python, making it a popular choice among Python programmers.

While it is compiled at run-time as compared to C, Julia incorporates the Just In Time (JIT) compiler which compiles at incredibly faster speeds. The programming language compiles more like an interpreted language that a conventional low-level compiled language.

Julia is an excellent choice for the production environment. Scientists and researchers use Python, R, and SAS to write their algorithms as they are simpler languages. Julia programming language helps developers to perform differentiable programming, which makes the learning in AI possible.

Python is undoubtedly faster in helping programmers express their concept in fewer lines of code. But it is slower in comparison to C. Julia programming combines the functionality of Python with a production speed of languages like C.

Julia is focused on big data and analytics. Viral Shah, creator of Julia said, "If you are building a new search engine that's heavily mathematical, or trying to predict the weather, or discovering a new bug, that's where you use Julia. But if you are building a mobile app, Julia is not an answer to that. It's for very large data sets, and where you are building a complex algorithmic application."

The programming language is used by Google as a research language. Julia in combination with Google's hardware Tensor Processing Units was the best combination for fast and easily expressible machine learning computation.

Source : https://content.techgig.com/julia-vs-python-which-is-best-for-data-science/articleshow/77832810.cms