R and Python are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog. Visit: https://datamites.com/data-science-course-training-chennai/

1. - Accredited with IABAC®
Python Programming 1
R vs Python for Data Science
Part 2

2. R
R provides flexibility to use the available libraries.
Python
It provides flexibility to construct new models from
scratch.

3. R
R has the world’s largest repository of statistical
algorithms.
Python
Python has a list of many powerful communities where
programming makes it easy.

4. R
R contains packages and libraries such as tidyverse,
ggplot2, caret, zoo,etc.
Python
Python has various packages such as Pandas,
Numpy, Matplotlib, Scipy, Scikit-learn, Tensorflow,
Keras, etc

5. Python has emerged as the default
programming language for AI,ML and Data
Science fields. It is the most used versatile
programming language among the data
scientists.

6. According to a survey conducted by Kaggle, an
online community of data scientists and
machine learners, Python ranks first among all
the other most used programming languages
in the Data Science field followed by R and
SQL.

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