From object technology pioneer and ETH Zurich professor Bertrand Meyer, winner of the Jolt award and the ACM Software System Award, a revolutionary textbook that makes learning programming fun and rewarding. Meyer builds his presentation on a rich object-oriented software system supporting graphics and multimedia, which students can use to produce impressive applications from day one, then understand inside out as they learn new programming techniques. Unique to Touch of Class is a combination of a practical, hands-on approach to programming with the introduction of sound theoretical support focused on helping students learn the construction of high quality software. The use of full color brings exciting programming concepts to life. Among the useful features of the book is the use of Design by Contract, critical to software quality and providing a gentle introduction to formal methods. Will give students a major advantage by teaching professional-level techniques in a literate, relaxed and humorous way.
If you maintain or plan to build Puppet infrastructure, this practical guide will take you a critical step further with best practices for managing the task successfully. Authors Chris Barbour and Jo Rhett present best-in-class design patterns for deploying Puppet environments and discuss the impact of each.
Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.
Thinking of migrating to PostgreSQL? This clear, fast-paced introduction helps you understand and use this open source database system. Not only will you learn about the enterprise class features in versions 9.5 to 10, you´ll also discover that PostgeSQL is more than a database system-it´s an impressive application platform as well.
Write code that writes code with Elixir macros. Macros make metaprogramming possible and define the language itself. In this book, you´ll learn how to use macros to extend the language with fast, maintainable code and share functionality in ways you never thought possible. You´ll discover how to extend Elixir with your own first-class features, optimize performance, and create domain-specific languages.
This is the missing X Window book. While others have shown what the X Window system has available, this book shows how to convert this potential into working tools to fulfil your visualisation needs. It is of the show-me class of books. The majority of the book covers Xlib, although a short coverage of Xcb is also given. Included are: . The relationship between Xlib and the X Window protocol; . All the basic Xlib topics are covered; . Complete working programs with their results; . Exercises to reinforce the material just covered. A 9 part partition to building a complete X program is used throughout. This partitioning fosters the inclusion of all code necessary. All programs are written in C and are one to four pages in length. Open source programs with the occasional Postscript script are shown to provide support as needed. Throughout the examples consideration is given to using colour. The examples produce simple results with the aim of providing building blocks for application oriented codes. The book is directed at graduate students and researchers who create computer code to visualise their data.
´´Kent is a master at creating code that communicates well, is easy to understand, and is a pleasure to read. Every chapter of this book contains excellent explanations and insights into the smaller but important decisions we continuously have to make when creating quality code and classes.´´ - Erich Gamma, IBM Distinguished Engineer ´´Many teams have a master developer who makes a rapid stream of good decisions all day long. Their code is easy to understand, quick to modify, and feels safe and comfortable to work with. If you ask how they thought to write something the way they did, they always have a good reason. This book will help you become the master developer on your team. The breadth and depth of topics will engage veteran programmers, who will pick up new tricks and improve on old habits, while the clarity makes it accessible to even novice developers.´´ - Russ Rufer, Silicon Valley Patterns Group ´´Many people don´t realize how readable code can be and how valuable that readability is. Kent has taught me so much, I´m glad this book gives everyone the chance to learn from him.´´ - Martin Fowler, chief scientist, ThoughtWorks ´´Code should be worth reading, not just by the compiler, but by humans. Kent Beck distilled his experience into a cohesive collection of implementation patterns. These nuggets of advice will make your code truly worth reading.´´ - Gregor Hohpe, author of Enterprise Integration Patterns ´´In this book Kent Beck shows how writing clear and readable code follows from the application of simple principles. Implementation Patterns will help developers write intention revealing code that is both easy to understand and flexible towards future extensions. A must read for developers who are serious about their code.´´ - Sven Gorts ´´ Implementation Patterns bridges the gap between design and coding. Beck introduces a new way of thinking about programming by basing his discussion on values and principles.´´ - Diomidis Spinellis, author of Code Reading and Code Quality Software Expert Kent Beck Presents a Catalog of Patterns Infinitely Useful for Everyday Programming Great code doesn´t just function: it clearly and consistently communicates your intentions, allowing other programmers to understand your code, rely on it, and modify it with confidence. But great code doesn´t just happen. It is the outcome of hundreds of small but critical decisions programmers make every single day. Now, legendary software innovator Kent Beck-known worldwide for creating Extreme Programming and pioneering software patterns and test-driven development-focuses on these critical decisions, unearthing powerful ´´implementation patterns´´ for writing programs that are simpler, clearer, better organized, and more cost effective. Beck collects 77 patterns for handling everyday programming tasks and writing more readable code. This new collection of patterns addresses many aspects of development, including class, state, behavior, method, collections, frameworks, and more. He uses diagrams, stories, examples, and essays to engage the reader as he illuminates the patterns. You´ll find proven solutions for handling everything from naming variables to checking exceptions. This book covers The value of communicating through code and the philosophy behind patterns How and when to create classes, and how classes encode logic Best practices for storing and retrieving state Behavior: patterns for representing logic, including alternative paths Writing, naming, and decomposing methods Choosing and using collections Implementation pattern variations for use in building frameworks
A basic issue in computer science is the complexity of problems. Computational complexity measures how much time or memory is needed as a function of the input problem size. Descriptive complexity is concerned with problems which may be described in first-order logic. By virtue of the close relationship between logic and relational databses, it turns out that this subject has important applications to databases such as analysing the queries computable in polynomial time, analysing the parallel time needed to compute a query, and the analysis of nondeterministic classes. This book is written as a graduate text and so aims to provide a reasonably self-contained introduction to this subject. The author has provided numerous examples and exercises to further illustrate the ideas presented.
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that?s so clouded in hype? This insightful book, based on Columbia University?s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you?re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: * Statistical inference, exploratory data analysis, and the data science process * Algorithms * Spam filters, Naive Bayes, and data wrangling * Logistic regression * Financial modeling * Recommendation engines and causality * Data visualization * Social networks and data journalism * Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O?Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.