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 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.
Which Programming Language You Should Choose for Data Science?
There are other factors also that you can use to select the best programming language for data science, such as:
- Which programming language is easy to learn?
- Which programming language has more resources to learn?
- Which is the most used in companies?