Python vs. R for data science

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When it comes to data science, there's always a confusion whether to choose python or R. So I thought we could have a discussion about it here. Anybody who has used either python or R, or anybody with any relevant opinion, post your opinions. Let's get this going guys..

Aug 10, 2018 in Data Analytics by Omkar
• 66,910 points
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Ignore the opinion, let's get to numbers

Python is better

Image Source: https://www.datacamp.com/community/tutorials/r-or-python-for-data-analysis 

answered Aug 10, 2018 by slayer
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R is good for statistics-heavy projects and one-time dives into a data-set but it is a bit complex compared to python. Python is simple and easy to learn and also, learning python would be helpful for different domains(because data science is not everything). So learning python would be more beneficial.

answered Aug 12, 2018 by digger
• 27,620 points
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Hello

Well there are lots of difference between Python and R with regards to Data Science. Some of the major difference between r and Python are :

  • R is mainly used for statistics Purposes whereas Python is a General purpose Programming Language.
  • R is more difficult for learning whereas Learning Python is much more easy as they have simple Syntax.
  • Python have the advantages of  Matplotlib where as R is consider better in term of Data Visualization
  • Python is 8 times faster than R.
  • Python can be used for Software development but it is not possible using r.
answered Mar 30 by MrBoot
• 1,210 points

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