The main aim of this book is to address a fundamental question in linguistics, namely why languages are similar and why they are different. The study proposes that languages are fundamentally similar when they encode the same meanings in their grammatical systems and that languages are different when they encode different meanings. Even if languages encode the same meaning, they may differ with respect to the formal means used to code those meanings. This approach allows for a typology based on functional domains, subdomains and functions coded in individual languages. The outcome of the study is a unified approach to language theory, linguistic typology, and descriptive linguistics. The argumentation for the hypotheses and the proposed approach is supported by analyses of data from more than a dozen languages, including English, Polish, French, Wandala, Mina, Hdi, and several other Chadic languages. The study is accessible to a wide variety of linguists.

* Treats LISP as a language for commercial applications, not a language for academic AI concerns. This could be considered to be a secondary text for the Lisp course that most schools teach . This would appeal to students who sat through a LISP course in college without quite getting it – so a "nostalgia" approach, as in "wow-lisp can be practical..." * Discusses the Lisp programming model and environment. Contains an introduction to the language and gives a thorough overview of all of Common Lisp’s main features. * Designed for experienced programmers no matter what languages they may be coming from and written for a modern audience—programmers who are familiar with languages like Java, Python, and Perl. * Includes several examples of working code that actually does something useful like Web programming and database access.

LC number: 2005048395

The papers in this volume examine the current role of grammatical functions in transformational syntax in two ways: (i) through largely theoretical considerations of their status, and (ii) through detailed analyses for a wide variety of languages. Taken together the chapters in this volume present a comprehensive view of how transformational syntax characterizes the elusive but often useful notions of subject and object, examining how subject and object properties are distributed among various functional projections, converging sometimes in particular languages.

An introduction to syntactic theory and analysis.

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

For the educated, this book is an invaluable resource, one that allows for easy reference to any grammatical concept imaginable. the book gives thousands of examples, but it also provides explicit reasoning why we should speak and write following certain patterns. Don't feel like studying for hours to learn a concept? Look here for the diagrams you need to understand why things go where they go in a sentence. Did he act foolish? OR Did he act foolishly? Both answers are here. If you are in college, grad school, or simply interested, you decide what you want to know-your answers are here. Written by two professors who hate to condescend but love to teach, English Grammar and Syntax cuts through the pedantic wasteland.

Authored by Roberto Ierusalimschy, the chief architect of the language, this volume covers all aspects of Lua 5---from the basics to its API with C---explaining how to make good use of its features and giving numerous code examples. (Computer Books)

What's the best approach for developing an application with JavaScript? This book helps you answer that question with numerous JavaScript coding patterns and best practices. If you're an experienced developer looking to solve problems related to objects, functions, inheritance, and other language-specific categories, the abstractions and code templates in this guide are ideal—whether you're using JavaScript to write a client-side, server-side, or desktop application. Written by JavaScript expert Stoyan Stefanov—Senior Yahoo! Technical and architect of YSlow 2.0, the web page performance optimization tool—JavaScript Patterns includes practical advice for implementing each pattern discussed, along with several hands-on examples. You'll also learn about anti-patterns: common programming approaches that cause more problems than they solve. Explore useful habits for writing high-quality JavaScript code, such as avoiding globals, using single var declarations, and more Learn why literal notation patterns are simpler alternatives to constructor functions Discover different ways to define a function in JavaScript Create objects that go beyond the basic patterns of using object literals and constructor functions Learn the options available for code reuse and inheritance in JavaScript Study sample JavaScript approaches to common design patterns such as Singleton, Factory, Decorator, and more Examine patterns that apply specifically to the client-side browser environment

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results