Who wins the race “Python vs R

24-Sep-2019

Programming languages Python and R are regularly potholed against each other over which is superlative for Data Science. Both are widespread, even if Python seems to be widely used, however by people learning how to program.

If you desire to initiate your career in Data Science, then most apparent decisions you have to make is on which language to pick. Two of the most common languages for Data Science are R and Python. Both have their pros and cons and it can be tough to make out which one is ideal for you.

Keeping the concern in mind, this is what we are going to cover further in the blog.

Why R?

R has been used for statistical computing for decades now. You may get started with writing valuable code in no time. It has been applied by data scientists and has a crazy number of packages obtainable for many data science-related tasks. Mostly the tasks of the packages are done very quickly using R.

Why Python?

Python has many leads over R in certain situations. Python is an overall purpose programming language. Python has libraries like pandas, numpy, scipy, and scikit these are few which can come in handy for doing data science associated work.

If you get to point where you have to showcase your data science work, Python once would be a clear winner. Python united with Django is a splendid web application framework, which can help you generate a web site/service with both your data science and web programming done in a similar language.

Conclusion:

It’s a “clear win for Python” when it comes to grace, in part due to Python’s restricted use of parentheses and braces. Python is sleek.

But then again it’s a “huge win for R” for beginners learning either of the two languages. People using Python for data science requires learning about additional Python packages. R, which is created for statistical computing, has built in data analysis features.

There is no clear winner here. If you are on the crossroads and want to pick between these languages, ponder what you want to create, as this is one of the decisions that can greatly influence you to pick one language over the other.

Education Professional