The first version was released in 1995 and the first stable beta version came up in the year 2000. R was developed by Ross Ihaka and Ross Gentleman in a project that was conceived in 1992 at the University of Auckland, New Zealand. The single-letter name S was inspired by the ubiquitous C language for programming at the time. AT&T began its work on S in 1976, as a part of its internal statistical analysis environment, which was earlier implemented as FORTRAN libraries.
R has a precursor named S (S stands for statistics) language, developed by AT&T for statistical computation. Recommended Read: Python Data Science Libraries History of R Programming Language R has also been adapted to deep learning these days and this helped several statisticians take on to deep learning in their respective fields easily, making R an indispensable part of the current burgeoning AI scenario.
The demand of R programmers has been constantly on the rise since the early 2010s and R still enjoys the status as a go-to programming language among data scientists. R is one of the most popular scripting languages for statistical programming today.
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