You’ll learn the fundamentals step-by-step with the help of numerous examples, discovering first-hand how to match, extract, and transform text by matching specific words, characters, and patterns.Regular expressions are an essential part of a programmer’s toolkit, available in various Unix utlilities as well as programming languages such as Perl, Java, JavaScript, and C#. When you’ve finished this book, you’ll be familiar with the most commonly used syntax in regular expressions, and you’ll understand how using them will save you considerable time.Discover what regular expressions are and how they workLearn many of the differences between regular expressions used with command-line tools and in various programming languagesApply simple methods for finding patterns in text, including digits, letters, Unicode characters, and string literalsLearn how to use zero-width assertions and lookaroundsWork with groups, backreferences, character classes, and quantifiersUse regular expressions to mark up plain text with HTML5

    Written by an expert who's taught this mobile platform to hundreds of developers in large organizations, this gentle introduction shows experienced object-oriented programmers how to use Android’s basic building blocks to create user interfaces, store data, connect to the network, and more.You'll build a Twitter-like application throughout the course of this book, adding new features with each chapter. Along the way, you'll also create your own toolbox of code patterns to help you program any type of Android application with ease.Get an overview of the Android platform and discover how it fits into the mobile ecosystemLearn about the Android stack, including its application framework, and the structure and distribution of application packages (APK)Set up your Android development environment and get started with simple programsUse Android’s building blocks—Activities, Intents, Services, Content Providers, and Broadcast ReceiversLearn how to build basic Android user interfaces and organize UI elements in Views and LayoutsBuild a service that uses a background process to update data in your applicationGet an introduction to Android Interface Definition Language (AIDL) and the Native Development Kit (NDK)

    Knuth, whose massive contributions to computing have led others to nickname him "The Father of Computer Science"—and whose religious faith led him to understand a fascinating analysis of the Bible called the 3:16 project. In this series of six spirited, informal lectures, Knuth explores the relationships between his vocation and his faith, revealing the unique perspective that his work with computing has lent to his understanding of God.His starting point is the 3:16 project, an application of mathematical "random sampling" to the books of the Bible. The first lectures tell the story of the project's conception and execution, exploring its many dimensions of language translation, aesthetics, and theological history. Along the way, Knuth explains the many insights he gained from such interdisciplinary work. These theological musings culminate in a surprising final lecture tackling the ideas of infinity, free will, and some of the other big questions that lie at the juncture of theology and computation.Things a Computer Scientist Rarely Talks About, with its charming and user-friendly format—each lecture ends with a question and answer exchange, and the book itself contains more than 100 illustrations—is a readable and intriguing approach to a crucial topic, certain to edify both those who are serious and curious about their faiths and those who look at the science of computation and wonder what it might teach them about their spiritual world.Includes "Creativity, Spirituality, and Computer Science," a panel discussion featuring Harry Lewis, Guy L. Steele, Jr., Manuela Veloso, Donald E. Knuth, and Mitch Kapor.

    Marcin Milkowski, Ph.D. and Prof. Dariusz Jemielniak, Ph.D. It is the largest English-Polish dictionary ever published. It contains over 1.8 million words, covering hundreds of thousands of meanings in over two hundred thousand definitions, includign abbreviations, synonyms, antonyms, et al. Its range is over 20% wider than in the case of any dictionary published before.It is also the first English-Polish dictionary developed in the 21st century, basing on actual English language usage and frequencies (based on corpora of American, British, and Canadian English), covering not only general vocabulary, but also terminology and idioms typical for business, finance, law, medicine, the sciences and technology, including over 150 disciplines! It is the first English-Polish dictionary including words such as QWERTY, screenager, smartphone, tablet or boccia, with their proper pronunciation. The dictionary can replace the standard Kindle e-reader dictionary, to allow one-click lookups (please, note that this functionality is typical for all Kindle e-readers, but not necessarily a tablet).

    The approach is analytic and hands-on. The text uses interpreters, written in Scheme, to express the semantics of many essential language elements in a way that is both clear and directly executable. It also examines some important program analyses. Extensive exercises explore many design and implementation alternatives.

    Linzmayer digs into forgotten archives and interviews the key players to give readers the real story of Apple Computer, Inc. This updated and expanded edition includes tons of new photos, timelines, and charts, as well as coverage of new lawsuit battles, updates on former Apple executives, and new chapters on Steve Wozniak and Pixar.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    

    Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractible problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.