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  • English  (8)
  • Mailund, Thomas  (5)
  • Wang, Wally  (3)
  • [Place of publication not identified] : Apress  (8)
  • Electronic books ; local  (8)
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  • English  (8)
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  • 1
    Online Resource
    Online Resource
    Pro iPhone development with Swift 4 : design and manage top quality apps (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484233818
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: iPhone OS ; iOS (Electronic resource) ; Swift (Computer program language) ; Application software ; Development ; Smartphones ; Programming ; Electronic books ; local ; Electronic books
    Abstract: Acquire and master the information required to take you to the next level beyond basic iPhone development using Swift. In this follow up work to the best selling Beginning iPhone Development with Swift , you'll learn how to improve your apps by managing the performance of your programs using parallelization, getting data in and out of the cloud, using gestures, the camera, 3D touch, sensors as well as newer features having debuted this year. In its fourth edition, Pro iPhone Development with Swift 4 covers the additional information you want to know to extend your apps into the next level. What You Will Learn Add parallel functionality using Grand Central Dispatch Use the camera and access photos Use SiriKit Who This Book is For Aspiring iOS app developers familiar with the Apple Swift programming language and/or the iOS SDK, but ready to move to the next level.
    Note: Description based on online resource; title from cover (Safari, viewed April 24, 2018)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Domain-specific languages in R : advanced statistical programming (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484235881
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Domain-specific programming languages ; Electronic books ; local ; Electronic books
    Abstract: Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you'll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you'll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. What You'll Learn Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions Who This Book Is For Those with prior programming experience. R knowledge is helpful but not required.
    Note: Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed July 18, 2018)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Advanced object-oriented programming in R : statistical programming for data science, analysis and finance (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Object-oriented programming (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: 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. What You'll Learn Define and use classes and generic functions using R Work with the R class hierarchies Benefit from implementation reuse Handle operator overloading Apply the S4 and R6 classes Who This Book Is For Experienced programmers and for those with at least some prior experience with R programming language.
    Note: Description based on online resource; title from cover (Safari, viewed September 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484229187/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    macOS programming for absolute beginners : developing apps using Swift and Xcode (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Mac OS ; Application software ; Development ; Swift (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Learn how to code for the iMac, Mac mini, Mac Pro, and MacBook using Swift, Apple's hottest programming language. Fully updated to cover the new MacBook Touch Bar, macOS Programming for Absolute Beginners will not only teach complete programming novices how to write macOS programs, but it can also help experienced programmers moving to the Mac for the first time. You will learn the principles of programming, how to use Swift and Xcode, and how to combine your knowledge into writing macOS programs. If you've always wanted to learn coding but felt stymied by the limitation of simplistic programming languages or intimidated by professional but complicated programming languages, then you'll want to learn Swift. Swift is your gateway to both Mac and iOS app development while being powerful and easy to learn at the same time, and macOS Programming for Absolute Beginners is the perfect place to start - add it to your library today. What You'll Learn Master the basic principles of object-oriented programming Use Xcode, the main programming tool used for both macOS and iOS development See what makes Swift unique and powerful as a programming language and why you should learn it Create macOS programs using Swift and Xcode Apply interface principles that follow Apple's Human Interface Guidelines Take advantage of the new Touch Bar Who This Book Is For People who want to learn programming for the first time and for experienced programmers wanting to learn Xcode and the Mac for the first time.
    Note: Description based on online resource; title from cover (Safari, viewed December 3, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484226629/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Metaprogramming in R : advanced statistical programming for data science, analysis and finance (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: R (Computer program language) ; Computer programming ; Mathematical statistics ; Electronic books ; Electronic books ; local
    Abstract: Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level language where all operations are functions and all functions are data that can be manipulated. This book shows you how to leverage R's natural flexibility in how function calls and expressions are evaluated, to create small domain-specific languages to extend R within the R language itself. What You'll Learn Find out about the anatomy of a function in R Look inside a function call Work with R expressions and environments Manipulate expressions in R Use substitutions Who This Book Is For Those with at least some experience with R and certainly for those with experience in other programming languages
    Note: Description based on online resource; title from cover page (Safari, viewed September 29, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484228814/?ar
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Functional programming in R : advanced statistical programming for data science, analysis and finance (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Functional programming (Computer science) ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Master 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. What You'll Learn Write functions in R including infix operators and replacement functions Create higher order functions Pass functions to other functions and start using functions as data you can manipulate Use Filer, Map and Reduce functions to express the intent behind code clearly and safely Build new functions from existing functions without necessarily writing any new functions, using point-free programming Create functions that carry data along with them Who This Book Is For Those with at least some experience with programming in R.
    Note: Description based on online resource; title from cover (Safari, viewed April 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484227466/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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  • 7
    Online Resource
    Online Resource
    Beginning data science in R : data analysis, visualization, and modelling for the data scientist (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Quantitative research ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. What You Will Learn Perform data science and analytics using statistics and the R programming language Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice version control Profile and optimize your code Who This Book Is For Those with some data science or analytics background, but not necessarily experience with the R programming language.
    Note: Description based on online resource; title from cover (Safari, viewed April 18, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484226711/?ar
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  • 8
    Online Resource
    Online Resource
    Absolute beginners guide to computing (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Windows (Computer file) ; Microcomputers ; Electronic books ; Electronic books ; local
    Abstract: Learn and understand how you can perform a wide range of tasks on your new Windows computer, including managing files, browsing the internet, and protecting yourself, as well as interacting with Cortana. Using Absolute Beginners Guide to Computing you will see how to use Windows, and how you can connect and communicate with others. You will learn the basics of browsing the web, how to send email, and sign up for services. You will learn about some of the social media sites such as Facebook and Twitter. You will also learn how to connect and use external hardware, and process digital music, photos, and video. Written by an author who has written multiple computing titles, this book is friendly and approachable, and can teach anyone how to use a computer. With simple steps, easy troubleshooting, and online resources, it's the best place to learn how to make computing a part of your life. What You'll Learn: Get pictures onto your computer to share Listen to digital music What clubs, groups, and other resources there are to help Who this Book Is For Anyone that wants to learn all the latest Windows features. Beginners who want to use their new Windows computer to share pictures or video clips on YouTube or Facebook to those seeking a common sense approach to safe computing.
    Note: Description based on online resource; title from cover (Safari, viewed February 9, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484222898/?ar
    Library Location Call Number Volume/Issue/Year Availability
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