Best Programming Languages for Data Science

Programming is one of the most important technical skills that every data scientist should know. There are currently over 700 programming languages out there, so if you want to know which programming language is best for data science, this article is for you. In this article, I’m going to introduce you to some of the best programming languages for data science.

Best Programming Languages for Data Science

Python:

Python is not only one of the best programming languages for data science, but it is also the most used language for data science around the world. It’s an open-source programming language, so there are so many contributors to Python today, including individuals and businesses who are contributing to Python by building libraries and packages, especially for data science.

One of the reasons it is accepted by industries around the world for data science is that it is beginner-friendly and easy to learn. There are so many libraries and frameworks today that increase the productivity of a Data Scientist who is using the Python programming language. Using Python makes it easier to work with data as a data scientist, so I will always recommend learning Python for data science.

JavaScript:

JavaScript is another programming language that is widely used by Data Scientists. It is one of those languages that can be used to create amazing dashboards and interactive data visualizations. Python and JavaScript are both popular in data science as well as web development. Just like Python, you’ll also find plenty of libraries in JavaScript for working with data. Although it is one of the best programming languages for data science, it is still not used as much as Python is for data science.

R:

R is an amazing programming language that was designed for statisticians. It is one of the programming languages that strongly competes with Python for data science. Just like Python and JavaScript, R also has many libraries for working with data. I only use Python for data science, but if I have to choose R somewhere in a data science project, I will use it for data visualization because I think R is better in terms of data visualization than Python.

Which Programming Language You Should Choose for Data Science?

The three programming languages I talked about above are the best for data science. Now the question is how to select a programming language that is best for you as a Data Scientist. The only way to select a language for data science is to explore the fundamentals of Python, JavaScript, and R. Then select the one that interests you the most. 

There are other factors also that you can use to select the best programming language for data science, such as:

  1. Which programming language is easy to learn?
  2. Which programming language has more resources to learn?
  3. Which is the most used in companies?

Based on the above factors, the only language that comes to mind is Python. Since it has a lot of resources today to learn, it is also easy to learn and a company will never ask you to only use Python, R or JavaScript for data science but still, most data scientists use Python for data science.

Summary

Programming is one of the most important technical skills that any data scientist should know. In my opinion, Python, R, and JavaScript are the best programming languages today. Hope you have understood how you can select a language for data science. I hope you liked this article on the best programming languages for data science. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
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