Python and R are the most popular languages for data science and both are close competitors. As there is a surging demand for Python and R in the programming domain, we need to analyze and compare these languages to know hidden insights. Both the languages have their own importance but they differ in some instances like readability, performance and many more.

According to KDNuggets Data Science Survey Python has overtaken R in recent years because of its popularity. Both R and Python have come up with newly added libraries and tools to increase the performance.

If you want enrich your career and become a professional in python, then visit Mindmajix - a global online training platform : "Python Certification Training" . This course will help you to achieve excellence in this domain

Python has become the most sought-after skill in providing the general approach to data science while R is mainly used for statistical analysis.

Python and R are becoming brand-new terms in the context of programming. Having clear knowledge on each programming language is an ideal solution. But, the only reason is that we need to spend a lot of time, which is not possible for everyone. Learning Python is easy because it provides us with simple syntaxes along with high readability. R is designed and built by statisticians and it encloses everything

R vs Python: Key Differences

In this R vs Python blog, we are going to learn the following:

Introduction to R
Introduction to Python
Comparison Factors
R vs Python Frequently Asked Questions

So, let us begin with the Introduction to R first, which I am going to talk about in the section below.

Introduction to R

R is a programming environment and language that is mainly designed for statistical computing and graphics. It is an integrated suite of software facilities for graphical display, data manipulation, and calculations. R is highly extensible and provides you with a wide variety of graphical and statistical techniques. Basically, this programming language is a part of Data Science and is considered as one of the best and richest ecosystems to perform data analysis. The availability of rich libraries in R makes it the first choice for analytical work and statistical analysis.

One of the major strengths of R is that we can produce well designed publication-quality plots by using mathematical formulas and symbols. There also exists a Comprehensive R Archive Network (CRAN) which is the huge archived collection of R packages and by using this, the user can contribute easily. These packages are formed by the collection of all R functions and outputs. This is to get easy access immediately to the latest techniques and the functionalities without the need to develop everything from the beginning.

Introduction to Python

Python is a programming language that lets you work more quickly and integrate your systems more effectively. It is a highly readable and popular object-oriented language. Python has been an important part of Google and remains the same as the system evolves and grows. It is a tool used to implement and deploy machine learning strategies on a large scale.

A recent survey by Stack Overflow showed that Python is one of the most used languages when compared to C, C++, Java, and many others. So, this makes Python highly popular, and getting certified in Python will help you in earning huge salaries.

R vs Python: Comparison of R and Python

Let's see the Comparison Factors of R and Python

R vs Python #1. Popularity Index

Now, when it comes to the popularity of languages, both Python and R are gaining more popularity these days. When compared to R, Python has witnessed huge growth in the case of popularity.

The huge rise in demand for various technologies such as Big Data, Artificial Intelligence, and Machine Learning explains the increase in demand for Python developers. Both the languages play a major role in data analytics but Python has a steep growth than other languages due to its simplicity and flexibility. Moreover, it ranks higher on job trends.

R vs Python #2. Ease of Learning

R	Python
R is difficult and we need to put a lot of effort to learn; it becomes a steep learning curve for beginners who are not having an idea about programming. Once we gain knowledge on this, it will become easier to learn.	Python emphasizes both productivity and code readability as the key features that make it one of the simplest programming languages. It is preferable due to its understandability and ease of learning.

Which language is easier R or Python?

R

R is difficult and we need to put a lot of effort to learn; it becomes a steep learning curve for beginners who are not having an idea about programming. Once we gain knowledge on this, it will become easier to learn.