Python and R are the two most popular languages used in data science field. SQL is the de-facto language of relational databases, where most data resides in and you can retrieve the data. But to analyze, clean, model, process, or evaluate the data you need to use either Python or R.
Read on! Hear their respective strengths and weaknesses and choose the best one.
Typically data scientists with a stronger mathematical or statistical background prefer R, whereas data scientists who are more from a programming background tend to prefer Python.
Now with this, I will conclude the comparison on R vs Python. While R has few amazing capabilities, Python emerges as a clear winner out of the two because of its immense popularity and simplicity.
As Python is growing rapidly due to extensive libraries, community development, a wide range of applications in data science, machine learning, AI, deep learning, Big Data, IoT, Blockchain, Robotics, and many more, I would suggest it is the better choice to focus on.
Python certification training with Online Idea Lab can help you gain hands-on expertise in full-stack development, quantitative analysis, data mining, machine learning, and many advanced technologies and not just the theory.
What’s your choice? Do leave a comment.