Is Python better than R?

Question

Is Python better than R?

Answer 1

Python is a versatile and powerful language that programmers use to perform a diverse number of tasks in computer science. Learning Python will help you develop a versatile data science toolkit, and as a non-programmer, it is pretty easy to pick up.

On the other hand, R is a programming environment specifically designed for data analysis that is very popular in the data science community. You’ll need to understand R if you want to make it far in your data science career.

In conclusion, learning both these languages and using them for their respective strengths can only improve you as a data scientist.

Versatility and flexibility are traits of any data scientist at the top of their field. The Python vs R debate confines you to one programming language. You should look beyond it and embrace both tools for their respective strengths. Using more tools will only make you better as a data scientist.

As far as the question of choosing Python or R is concerned, It is hard to pick a single one out of the two because both of the languages are amazingly flexible data analytics languages. Plus both are free and open-source and were developed in the early 1990s — R for statistical analysis and Python as a general-purpose programming language.

To gain expertise in machine learning, working with large datasets, or creating complex data visualizations, both of them are absolutely essential.

To get started with these basic concepts here is a comprehensive video that covers most of the topics

You can also check out the following free and end-to-end tutorial to help you decide among your choices

R Programming Tutorial | Learn R Programming | Intellipaat

If you also want a certification along with a course, you can check out the following complete course on Data Science with R.

Learn R Programming Online - R Programming Training Course

This R Programming for Data Science training course will help you be a master in data manipulation with R programming, data visualization and advanced analytics topics like regression and data mining using RStudio. During this course, you will work on real-life projects and assignments to master Data Science.