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A beginner's guide to scala, object orientation and functional programming / John Hunt
Cham, Switzerland : Springer, 2018
530 pages. : illustrations
Ký hiệu phân loại (DDC): 005.1
Scala is now an established programming language developed by Martin Oderskey and his team at the EPFL. The name Scala is derived from Sca(lable) La(nguage). Scala is a multi-paradigm language, incorporating object oriented approaches with functional programming. Although some familiarity with standard computing concepts is assumed (such as the idea of compiling a program and executing this compiled from etc.) and with basic procedural language concepts (such as variables and allocation of values to these variables) the early chapters of the book do not assume any familiarity with object orientation nor with functional programming These chapters also step through other concepts with which the reader may not be familiar (such as list processing). From this background, the book provides a practical introduction to both object and functional approaches using Scala. These concepts are introduced through practical experience taking the reader beyond the level of the language syntax to the philosophy and practice of object oriented development and functional programming. Students and those actively involved in the software industry will find this comprehensive introduction to Scala invaluable
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2
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A discipline of programming / Edsger W Dijkstra
Englewood Cliffs, N.J. : Prentice-Hall, 1976
xvii, 217 p. ; 24 cm.
Ký hiệu phân loại (DDC): 001.642
This book expounds, in its author's usual cultured style, his radical new insights into the nature of computer programming.
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3
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Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance / Thomas Mailund
New York : Apress, 2017
174 pages.
Ký hiệu phân loại (DDC): 519.2
Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then be able to use this powerful programming style in your own statistical programming projects to write flexible and extendable software. After reading Advanced Object-Oriented Programming in R, you'll come away with a practical project that you can reuse in your own analytics coding endeavors. You'll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. Your projects will benefit from the high degree of flexibility provided by polymorphism, where the choice of concrete method to execute depends on the type of data being manipulated.
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