Which one is preferable for Machine Learning? R or Python!

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There is a  doubt in every upcoming data scientist’s mind, whether to choose R or Python. 
In most cases, Googling is the popular choice to search for the best solution. But most people fail to find the result, and still not start anything to become the Machine Learning or Data science expert. So, I am going to explain the best of R and Python to make the forthcoming data scientist dream come true.

Battlefield of R and Python

  Purpose:

The vital purpose of Python implementation is creating the software products and making the code simple and readable for the programmers. 
Whereas, R is mainly implemented for user-friendly data analysis and to solve complex statistical problems.It is mainly statistical-centric language.

Ease of learning:

Python is simple to learn due to its code readability.It is a beginner friendly language, where without any prior experience in programming can start using Python.
R is difficult to learn at the starting stage of its implementation.By using more often can reduce its difficulty and produce its effectiveness in solving complex formulas in statistics.For the experienced programmers, R is the GO TO option.

Communities:

Python has good support from various communities in the development of the language for the future applications.Programmers and developers are the active members of the communities like StackOverflow, mailing-lists etc., which are part of developing python.
R also gains huge support from various communities like mailing-lists, user-contribution document and so forth.Most of the statisticians, researchers, and data scientists are actively involving in the development of the language.

Flexibility:

Due to the productivity-centric language, Python gains a lot of flexibility in the implementation of various applications.It also encompasses various modules and libraries for development of large-scale applications.
R also focussed on flexibility in implementing complex formulas, tests in statistics, visual implementation of data and so on.It also encompasses various package readily available for use.

Applications:

Python is the captain of developing the various application in the software firm.It is used to support web development, gaming, data science, and stack increases.
           Coming to R, it is mainly focussed on implementing the data science projects, which is
           focussed on statistics and visualization.


Finally, in the battle of R or Python, both have its positives and negatives.In the most cases, they are specific-centric languages because of R focusing on Statistics and visualization, whereas python has a simplicity to develop any application.
Therefore, R can be mainly used for Research and Academics, statistical analysis and data visualization.And on the other hand, Python is used for easy debugging, delve into data analysis, and so forth.R will be very efficient for statisticians in the field of data science and python is better for the programmers and developers that aiming for the data scientist.

Thank You :) 

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