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R vs Python
  • Last Updated : 21 Apr, 2020

R programming and Python are both used extensively for Data Sciences. Both are very useful and open source languages as well.

R Language is used for machine learning algorithms, linear regression, time series, statistical inference, etc. It was designed by Ross Ihaka and Robert Gentleman in 1993.
R is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line interface. R is available across widely used platforms like Windows, Linux, and macOS. Also, the R programming language is the latest cutting-edge tool.

Python is a widely-used general-purpose, high level programming language. It was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. It was designed with an emphasis on code readability, and its syntax allows programmers to express their concepts in fewer lines of code.

Below are some major differences between R and Python:

FeatureRPython
IntroductionR is a language and environment for statistical programming which includes statistical computing and graphics.Python is a general purpose programming language for data analysis and scientific computing
ObjectiveIt has many features which are useful for statistical analysis and representation.It can be used to develop GUI application and web application as well as with embedded systems
Work abilityIt has many easy to use packages for performing tasksIt can easily perform matrix computation as well as optimization
Integrated development environmentVarious popular R IDEs are Rstudio, RKward, R commander, etc.Various popular Python IDEs are Spyder, Eclipse+Pydev, Atom, etc.
Libraries and packagesThere are many packages and libraries like ggplot2, caret, etc.Some essential packages and libraries are Pandas, Numpy, Scipy, etc.
ScopeIt is mainly used for complex data analysis in data science.It takes more streamline approach for data science projects.

Program for addition of two numbers:

R




# R program to add two numbers
numb1 <- 8
numb2 <- 4
  
# Adding two numbers 
sum <- numb1 + numb2 
  
print(paste(The sum is", sum))

Python




# Python program to add two numbers
  
numb1 = 8
numb2 = 4
  
# Adding two numbers 
sum = numb1 + numb2 
  
# Printing the result 
print("The sum is", sum

Output:

The sum is 12

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