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FUNCTIONAL PROGRAMMING IN R 4 : advanced statistical programming for data science,... analysis, and finance by Thomas Mailund is a nonfiction available to read on EtoBox.

What is FUNCTIONAL PROGRAMMING IN R 4 : advanced statistical programming for data science,... analysis, and finance about?

Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn to make your functions pure by avoiding side effects, write functions that manipulate other functions, and construct complex functions using simpler functions as building blocks. In Functional Programming in R 4 , you'll see how to 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 m

Who reads FUNCTIONAL PROGRAMMING IN R 4 : advanced statistical programming for data science,... analysis, and finance?

Author

Thomas Mailund

Publisher

Apress L. P.

Published

2023

Language

EN

ISBN

9781484294871

Category

nonfiction

Subjects

Computer Science, Programming, Stem