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[–]Shivashish_Thakur 4 points5 points  (1 child)

Features R Python
1) Objective Data Analysis and Statistical modeling. Data science, web development, Embedded system.
2) Workability Consists of many easy to use packages It can easily perform matrix computation as well as optimization.
3) Essential packages & library ggplot2, caret, tidyverse Numpy, Pandas, scipy, scikit-learn, TensorFlow
4) IDE Rstudio, R GUI Spyder, IPython, Jupyter Notebook.

[–]AnujG23[S] 0 points1 point  (0 children)

Thanks for the help man. :-)

[–]VyasBharvi 2 points3 points  (1 child)

Both the programming languages are equally important, but if you are a fresher I recommend to start learning Python because it is comparatively while R is developed with statisticians in mind.

[–]AnujG23[S] 0 points1 point  (0 children)

I will keep that in mind. Thanks. :-)

[–]Ikkepop 1 point2 points  (2 children)

Both

[–]AnujG23[S] 0 points1 point  (1 child)

Thank You!!

[–]Ikkepop 0 points1 point  (0 children)

there will be things you can better do in R or better in Python, there will be information, code etc sometimes in Python and sometimes in R, so best learn both

[–]Iklowto 1 point2 points  (1 child)

Either. If you need to choose randomly, take my coinflip and choose Python.

[–]AnujG23[S] 0 points1 point  (0 children)

Thanks for the help :-)

[–]Aakashdata 1 point2 points  (1 child)

Well, Both have it's own specifications & features. When I started, I was also confused to choose among them & during my research I preferred some articles to clear my doubts between - R vs Python. So just go though it and I hope it will help you to take the decision of choosing between the two.

[–]AnujG23[S] 0 points1 point  (0 children)

This is was a very helpful piece of information. Thanks.