Top Programming Languages for Data Science in 2020

Which programming language should you pick up to start your data science journey? 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.

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.

What You Need to Consider When Choosing the Best Programming Language for Your Data Science Career Path

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:

● What exactly is the task at hand?

● In what way can Data Science help you with it?

● How skilled are you in the programming languages that you already know?

● Are you prepared to take your knowledge to the next level?

● At what scale does your organization use Data Science?

● Are you interested in learning advanced Data Science?

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Top Programming Languages for Data Science in 2020

Now that you have answered the questions above, let’s move on to the next section. From here on, we would like to draw your attention to some of the most used programming languages for Data Science. You might already be familiar with a few of the popular programming languages, while some may be completely new for you.

1. Python

Source — Python

Python holds a vital place among the top tools for Data Scienceand is often the go-to choice for a range of tasks for domains such as Machine Learning, Deep Learning, Artificial Intelligence, and more. It is object-oriented, easy to use and extremely developer-friendly thanks to its high code readability.

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.