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dc.contributor.authorMailund, Thomasen_US
dc.date.accessioned2017-08-02T02:10:29Z
dc.date.available2017-08-02T02:10:29Z
dc.date.issued2017en_US
dc.identifier.isbn978-1-4842-2745-9en_US
dc.identifier.isbn978-1-4842-2746-6en_US
dc.identifier.otherHPU4161191en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/26305
dc.description.abstractMaster functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects, you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks. In Functional Programming in R, you’ll see how we can replace loops, which can have side-effects, with recursive functions that can more easily avoid them. In addition, the book covers why you shouldn't use recursion when loops are more efficient and how you can get the best of both worlds. Functional programming is a style of programming, like object-oriented programming, but one that focuses on data transformations and calculations rather than objects and state. Where in object-oriented programming you model your programs by describing which states an object can be in and how methods will reveal or modify that state, in functional programming you model programs by describing how functions translate input data to output data. Functions themselves are considered to be data you can manipulate and much of the strength of functional programming comes from manipulating functions, that is, building more complex functions by combining simpler functions.en_US
dc.format.extent109 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectProgramming Languagesen_US
dc.subjectCompilersen_US
dc.subjectInterpretersen_US
dc.subjectProgramming Techniquesen_US
dc.subjectSoftware Engineeringen_US
dc.titleFunctional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Financeen_US
dc.typeBooken_US
dc.size968Kben_US
dc.departmentTechnologyen_US


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