There are 100s of programming languages existing today like Java, C, C++, Unix, Python, R, etc. Many have got obsolete while others are being invented rapidly or observe a variation in demand depending upon the usage over the course of the past several decades. The last couple of years has witnessed a surge in demand for Data Science roles. As a result, the open-source programming languages like R and Python have bubbled up as two highly liked programming language by the developers and the employers alike. In this article R vs Python for Data Science, you will get to know more about the two languages starting from their definitions to the job opportunities and more. What is R? R is a language for statistical computing, data analysis, and graphics. It was created by Ross Ihaka and Robert Gentleman in the Department of Statistics at the University of Auckland in the year 1991. R was built as a dialect of an earlier programming language S. What is Python? Python is an object-oriented programming language widely used for almost everything today. Guido van Rossum designed it in 1991 and it was developed by Python Software Foundation. Python succeeded in the earlier programming […]
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