Machine Learning and Data Science are the prosperous fields that are growing constantly.This both are putting a light on various complex problems. Therefore, looming various applications and solutions on the intricate real-time issues. So, the opportunities for the Data Scientist and Analysts are booming at the moment around the globe.Moreover, the advent of technologies like Artificial intelligence, IOT, and Big Data has completely influenced the need for data experts. Hereafter, the aspiring Data expert needs the most powerful tools to battle the most complex data sets. The various Machine Learning tools and libraries are developed for the people to automate the tasks of data analysis, recognition, and aggregation. For this R and Python programming languages are the front-runners to develop the libraries. So, most get confused between this two and waste clocks of time choosing one. Oh No! then when you gonna start, Let’s get ready to know the winner of R or Python.
Before knowing the differences between both the languages – will look into the similarities they carry.
Both R and Python are Open source Programming languages.And had large communities to contribute to the documentation and development Both can be used for Data analysis, analytics and Machine learning projects Two of them holds advanced tools for the implementation of data science projects The salary for the data scientists who prefer R and Python gets almost similar. The current version of Python and R is 3.x.x
Battlefield of R and Python
History:
Purpose:
Ease of learning:
Communities:
Flexibility:
Applications:
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.
