Difference and use in R vs Python in Data science ?
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R vs Python in Datascience :
identify, represent and extract meaningful information from given data sources is deals in Data science. Its uses machine learning, statistics, probability, linear and logistic regression for finding some meaningful data.
Python with the help of libraries like SciPy and packages while R having packages.R and Python are equally good for finding outliers in a data set but for developing a web service and database enabling , Python is better. People have built modules to create websites, interact with a variety of databases, and manage users in Python.
Difference between R and Python :
R :
- R is a free software environment for statistical and useful programming language.It is widely used among statisticians and data miners for developing statistical software and data analysis.
- R has inbuilt functionalities for data analysis.
PYTHON :
- Python is an Interpreted high-level programming language for general purpose programming. It was created by Guido Van Rossum and was first released in 1991. Python has a very clean and simple code syntax.
-Python is a general purpose programming language. NumPy, panda is there some non in-built function.