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Discussion in 'Simplilearn Support' started by _19292, Aug 4, 2018.
Please explain difference between SAS R and Python and what is the future of these technologies
Kindly find the brief difference between R SAS and Python:
SAS: SAS has been the undisputed market leader in commercial analytics space. The software offers huge array of statistical functions, has good GUI (Enterprise Guide & Miner) for people to learn quickly and provides awesome technical support. However, it ends up being the most expensive option and is not always enriched with latest statistical functions.
R: R is the Open source counterpart of SAS, which has traditionally been used in academics and research. Because of its open source nature, latest techniques get released quickly. There is a lot of documentation available over the internet and it is a very cost-effective option.
Python: With origination as an open source scripting language, Python usage has grown over time. Today, it sports libraries (numpy, scipy and matplotlib) and functions for almost any statistical operation / model building you may want to do. Since introduction of pandas, it has become very strong in operations on structured data.
So, it is not always about which product is better. It depends on the usability and requirement of company and its users and this will guide you with the future of the technology.
I am sure this will give you a brief idea of the same.