New libraries or tools are added continuously to their respective catalog. R is mainly used for statistical analysis while Python provides a more general approach to data science. visit :https://datamites.com/data-science-course-training-bangalore/

1. - Accredited with IABAC®
Python Programming 1
R vs Python for Data Science
Part 1

2. R
R is used for statistical analysis especially for data manipulation,
mathematical calculations and graphical visualizations.
Python
Python is the popular programming language among the Data
Scientists for solving complex problems with dedicated libraries.

3. R
R was created in 1990 by Ross Ihaka and Robert Gentleman.
Python
Python was created in 1991 by Guido Van Rossum.

4. R
R gained more popularity and it is one of the most
wanted tools for data science projects.
Python
Python is the ideal choice for Data Scientists who
need to incorporate statistical

5. R
R users are Scholars and R & D professionals.
Python
Python users are Programmers and Developers.

6. R
R is integrated to run locally with IDEs such as R
Studio, RIDE and Eclipse.
Python
Python is well-integrated with applications and runs in
Jupyter Notebook, Pycharm and Spyder.

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