Which is The Best for Data Science

R is the leading statistics language that is used for machine-learning algorithms, linear regression, statistics, etc. It was developed by designed by Ross Ihaka and Robert Gentleman in 1993.

science

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.

Popular R IDEs are Rstudio, RKward, R commander, etc.

Popular Python IDEs are Spyder, Eclipse+Pydev, Atom, etc.

It supports Tidyverse and it became easy to import, manipulate, visualize and report on data

Use can you NumPy, SciPy, scikit-learn

It supports Tidyverse and it became easy to import, manipulate, visualize and report on data

Use can you NumPy, SciPy, scikit-learn

You can use ggplot2 and ggplot tools to plots complex scatter plots with regression lines.

You can use Matplotlib, Pandas, Seaborn

It optimized for statistical analysis of large datasets

You can explore data with Pandas

It is used for data analysts to import data from Excel, CSV, and text files.

It is used in all kinds of data formats including SQL tables

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