A programming language is the superpower of any developer. Every once in a while, a new programming language or an update to an existing language pops up that tries to deliver faster and more optimized results. Developers can often find themselves entangled with a wide variety of programming languages, deciding which one to choose for their next project.
All programming languages are not similar and in many instances, what works for one project or a requirement might not work for another. Data Science is one such trending domains where the** demand for efficiency and high-performance results** are skyrocketing. This article will cover a handful of those top-tier programming languages.
Now before we jump to the section covering some of the top programming languages for Data Science, mentioned below are a few of the questions that you should ask yourself:
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