This blog will bring forth the differences between R programming and Python; the two most preferred and popular programming languages in the Data Science community.

Similarities between R and Python

Before I bring out the differences, it is good to know how the similarities between the two languages R and Python.

• Thus, both R and Python are open source languages, that can be easily installed and downloaded free of cost. It simply means that it is open to all, anyone can learn and contribute to the further development of these languages.
• We can get started with them with much ease due to the abundant availability of resources.
• Simplicity is the hallmark that these languages offer to us. Hence, anyone can code now without having any coding experience.
• The popularity is backed by easy syntax, simple debugging, community support, and tutorials available online.

Not interested in reading the blog, no worries you are a different type of learner more involved and engaged. To cater to all types of learners I have a video too on YouTube click here to watch it online.

Differences between R programming and Python

• R is suitable for performing statistical calculations, as was designed by statisticians. R has a lot of packages that can handle different complex statistical calculations with ease compared to Python. Python is a more generalistic language, in the sense that it supports not only some statistical calculations but also various Machine Learning tasks.

• Libraries for R programming and Python are different but more or less serve the same purpose.

There is a difference in libraries too. Both R and Python offer different packages and libraries to perform various tasks like data visualization, model evaluation, machine learning, data manipulation, report, and results.

Other Differences between R programming and Python

R is not suitable for NLP, Deep Learning. Python provides great support for robust libraries to perform deep learning and NLP operations. Community support for Python is much more vast as compared to R. One can find a lot of videos, tutorials, and code sheets in Python compared to R.

R or Python?

Wondering which language to start with? This is a tough question to answer; as both languages have their pros and cons. Let me share my own experience with you guys. The best way to decide is to work with both languages, experience with the two can clear more doubts and make things clear. Doing Projects in both languages can help one to decide which language to choose. After having done this I am sticking with Python and using R programming only when it is needed.

If you are interested in learning R, you can learn more about R here, also you can enroll in the basic fundamental R course. This course covers R packages, functions, and methods in R, you will learn various interesting visualizations using the ggplot2 visualization package in R.

If Python is the language you are thinking to study then Python Course will help you develop a better understanding and make you ready for higher concepts. You can easily scale Data Manipulation and data wrangling, and data analysis with this course.