"Dylan is a new programming language invented by Apple Computer and developed with Harlequin and other partners. The language is both object-oriented, like C++ and Java, and dynamic, like Smalltalk. Dylan is designed to deliver applications that run efficiently on a wide range of platforms. It also facilitates the rapid development and incremental refinement of prototype programs. Dylan is a good choice for any application, but you will find it particularly useful for complex object-oriented programs, and for programs that may need to be changed "on the fly."" "Public-domain implementations of Dylan are available for most popular computer systems. Harlequin has developed the first complete, commercial implementation of the language - including both compiler and development environment." "Dylan Programming gets you started quickly, with a simple but complete program that lets you experiment with the language. It then leads you progressively through the development of a sample application, illustrating advanced topics such as macros, modules, libraries, inheritance, performance, and exceptions. This book is appropriate for any Dylan implementation. It assumes you can program in a conventional language, but requires no prior knowledge of object-oriented or dynamic techniques."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Practical Goal Programming is intended to allow academics and practitioners to be able to build effective goal programming models, to detail the current state of the art, and to lay the foundation for its future development and continued application to new and varied fields. Suitable as both a text and reference, its nine chapters first provide a brief history, fundamental definitions, and underlying philosophies, and then detail the goal programming variants and define them algebraically. Chapter 3 details the step-by-step formulation of the basic goal programming model, and Chapter 4 explores more advanced modeling issues and highlights some recently proposed extensions. Chapter 5 then details the solution methodologies of goal programming, concentrating on computerized solution by the Excel Solver and LINGO packages for each of the three main variants, and includes a discussion of the viability of the use of specialized goal programming packages. Chapter 6 discusses the linkages between Pareto Efficiency and goal programming. Chapters 3 to 6 are supported by a set of ten exercises, and an Excel spreadsheet giving the basic solution of each example is available at an accompanying website. Chapter 7 details the current state of the art in terms of the integration of goal programming with other techniques, and the text concludes with two case studies which were chosen to demonstrate the application of goal programming in practice and to illustrate the principles developed in Chapters 1 to 7. Chapter 8 details an application in healthcare, and Chapter 9 describes applications in portfolio selection.

Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worldâ??s leading practitioners construct and maintain software. This book covers Googleâ??s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. Youâ??ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions

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

Expand your computer and IT skills and earn more money by learning the world's most popular programming language - Python! Become even more computer savvy and rise above the competition when applying to jobs with proficient Python programming skills. Python programming provides you with a sustainable foundation in computer programming that is easy to build upon and specialize your skills. This results in becoming a better candidate for job openings and increasing your salary! With this guide in your hands, you will: Learn the Python programming language from scratch with little to no experience required Specialize in a computer language and make yourself more valuable to a company Open the door to new job opportunities after learning and implementing Python Study 3 complete books in one to build on your skills Become more desirable when applying for jobs, especially in the startup community Plus Much More! Right now Python is one of the most popular and useful languages programmers should know. With absolutely no experience required, you could learn the foundations of this language and easily build on your skills to increase your income and open the door to incredible job opportunities. Are you ready to make more money and learn an essential programming language from scratch? ...Then Order Your Complete Guide and Start Learning Today!

The main aim of this book is to teach D to readers who are new to computer programming. Although having experience in other programming languages is certainly helpful, this book starts from the basics. D is a multi-paradigm system programming language that combines a wide range of powerful programming concepts from the lowest to the highest levels. It has C-like syntax and static typing. It pragmatically combines efficiency, control, and modeling power, with safety and programmer productivity in mind. Each chapter is based on the contents of the previous ones, introducing as few new concepts as possible. It is recommended that the book is read in linear fashion, without skipping chapters if possible. Although this book was written with beginners in mind, it covers almost all features of D. More experienced programmers can use the book as a D language reference by starting from the index section. Blurbs from the back cover: "D is pristine, clean, immensely powerful, and arguably the actual state-of-the-art programming language. Ali's book is a gem. Clear, concise, and complete." - Olivier Henley "I have been using Ali's online D book to teach D at the university level. It is up-to-date, complete, and most importantly, extremely readable. Having a print version is even better! This is now the 'go-to' book for learning D programming." - Chuck Allison, Professor and Chair, Computer Science Department, Utah Valley University "Ali's explanations are succinct and on target. I like that he provides rationale for why D was designed in a particular way and how I can use it most effectively. This is the best computer language book I've read." - Robbin Carlson, Luthier and Enterprise Architect "I taught a CS2 Data Structures class in D with more success and student appreciation than when using either C++ or Java as it's an ideal language to express the relevant concepts at all scales, from detailed to big picture, without needless complexity. Ali Çehreli's tutorial played a central role supporting students especially during the first half of the course - without it the course simply would not have worked, so "many thanks Ali" - and an important part of that is its linearity - it can be read with only backward dependencies. This meant that with hard work even students of little experience and only moderate current abilities could get up to speed, and we saw just that. It is hard to overstate this factor. I unreservedly recommend this book to all." - Dr. Carl Sturtivant, University of Minnesota Department of Computer Science & Engineering "This book is one of the best guides through the language that I've seen." - Andrew Wray, D Enthusiast "I encourage anyone considering D to read this book. Not exactly 'D for Dummies' but it's easy to follow even if you don't have much experience with compiled languages." - bachmeier, Reddit user "Having worked through the book, I have to say this is one of the easiest to follow and distraction free read there is and the fact that it made learning a new language a total breeze really impressed me." - Imran Khan, Student