This fast-moving narrative starts at ground zero, with the dramatic incubation of open-source software by Linux and its enigmatic creator, Linus Torvalds. With firsthand accounts, it describes how a motley group of programmers managed to shake up the computing universe and cause a radical shift in thinking for the post-Microsoft era. A powerful and engaging tale of innovation versus big business, Rebel Code chronicles the race to create and perfect open-source software, and provides the ideal perch from which to explore the changes that cyberculture has engendered in our society. Based on over fifty interviews with open-source protagonists such as Torvalds and open source guru Richard Stallman, Rebel Code captures the voice and the drama behind one of the most significant business trends in recent memory.

    With full coverage of 100% of exam objectives, this invaluable guide reinforces what you know, teaches you what you don't know, and gives you the hands-on practice you need to boost your skills. Written by expert Java developers, this book goes beyond mere exam prep with the insight, explanations and perspectives that come from years of experience. You'll review the basics of object-oriented programming, understand functional programming, apply your knowledge to database work, and much more. From the basic to the advanced, this guide walks you through everything you need to know to confidently take the OCP 1Z0-809 Exam and upgrade exams 1Z0-810 and 1Z0-813.Java 8 represents the biggest changes to the language to date, and the latest exam now requires that you demonstrate functional programming competence in order to pass. This guide has you covered, with clear explanations and expert advice.Understand abstract classes, interfaces, and class design Learn object-oriented design principles and patterns Delve into functional programming, advanced strings, and localization Master IO, NIO, and JDBC with expert-led database practice If you're ready to take the next step in your IT career, OCP: Oracle Certified Professional Java SE 8 Programmer II Study Guide is your ideal companion on the road to certification.

    Not only does author David Cook assist you in understanding the component parts of robot development, but he also presents valuable techniques that prepare you to make new discoveries on your own.Cook begins with the anatomy of a homemade robot and gives you the best advice on how to proceed successfully. General sources for tools and parts are provided in a consolidated list, and specific parts are recommended throughout the book. Also, basic safety precautions and essential measuring and numbering systems are promoted throughout.Specific tools and parts covered include digital multimeters, motors, wheels, resistors, LEDs, photoresistors, transistors, chips, gears, nut drivers, batteries, and more. "Robot Building for Beginners" is an inspiring book that provides an essential base of practical knowledge for anyone getting started in amateur robotics.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    The authors present updated coverage of compilers based on research and techniques that have been developed in the field over the past few years. The book provides a thorough introduction to compiler design and covers topics such as context-free grammars, fine state machines, and syntax-directed translation.

    The widespread adoption of agile methods has brought the need for effective testing into the limelight, and agile projects have transformed the role of testers. Much of a tester's function, however, remains largely misunderstood. What is the true role of a tester? Do agile teams actually need members with QA backgrounds? What does it really mean to be an "agile tester?"Two of the industry's most experienced agile testing practitioners and consultants, Lisa Crispin and Janet Gregory, have teamed up to bring you the definitive answers to these questions and many others. In Agile Testing, Crispin and Gregory define agile testing and illustrate the tester's role with examples from real agile teams. They teach you how to use the agile testing quadrants to identify what testing is needed, who should do it, and what tools might help. The book chronicles an agile software development iteration from the viewpoint of a tester and explains the seven key success factors of agile testing.Readers will come away from this book understanding- How to get testers engaged in agile development- Where testers and QA managers fit on an agile team- What to look for when hiring an agile tester- How to transition from a traditional cycle to agile development- How to complete testing activities in short iterations- How to use tests to successfully guide development- How to overcome barriers to test automationThis book is a must for agile testers, agile teams, their managers, and their customers.

    Drawing on their extraordinary experience, they introduce a start-to-finish methodology for "ripping apart" applications to reveal even the most subtle and well-hidden security flaws.

    It is emerging as a new professional currency at a time when the way we think, interact, and innovate is shifting. In the past, “market share” companies ruled by hierarchy and topdown leadership. Today, the new market leaders are “mind share” companies, where influence is more important than power, and success relies on collaboration and the ability to inspire.Collaborative Intelligence is the culmination of more than fifty years of original research that draws on Dawna Markova’s background in cognitive neuroscience and her most recent work, with Angie McArthur, as a “Professional Thinking Partner” to some of the world’s top CEOs and creative professionals. Markova and McArthur are experts at getting brilliant yet difficult people to think together. They have been brought in to troubleshoot for Fortune 500 leaders in crisis and managers struggling to inspire their teams.When asked about their biggest challenges at work, Markova and McArthur’s clients all cite a common problem: other people. This response reflects the way we have been taught to focus on the gulfs between us rather than valuing our intellectual diversity—that is, the ways in which each of us is uniquely gifted, how we process information and frame questions, what kind of things deplete us, and what engages and inspires us. Through a series of practices and strategies, the authors teach us how to recognize our own mind patterns and map the talents of our teams, with the goal of embarking together on an aligned course of action and influence.In Markova and McArthur’s experience, managers who appreciate intellectual diversity will lead their teams to innovation; employees who understand it will thrive because they are in touch with their strengths; and an entire team who understands it will come together to do their best work in a symphony of collaboration, their individual strengths working in harmony like an orchestra or a high-performing sports team.Praise for Collaborative Intelligence   “Rooted in the latest neuroscience on the nature of collaboration, Collaborative Intelligence celebrates the power of working and thinking together at the highest levels of business and politics, and in the smallest aspects of our everyday lives. Dawna Markova and Angie McArthur show us that our ability to collaborate is not only a measure of intelligence, but essential to solving the world’s problems and seeing the possibilities in ourselves and others.”—Arianna Huffington   “This inspiring book teaches you how to align your intention with the intention of others, and how, through shared strengths and talents, you have every right to expect greatness and set the highest goals and expectations.”—Deepak Chopra   “Everyone talks about collaboration today, but the rhetoric typically outweighs the reality. Collaborative Intelligence offers tangible tools for those serious about becoming ‘system leaders’ who can close the gap and make collaboration real.”—Peter M. Senge, author of The Fifth Discipline“I have worked with Markova and McArthur for several years, focusing on achieving better results through intellectual diversity. Their approach has encouraged more candid debate and collaborative behavior within the team. The team, not individuals, becomes the hero.”—Al Carey, CEO, PepsiCo

    The blades start moving in 60 seconds. What do you do? If you want to work at Google, or any of America's best companies, you need to have an answer to this and other puzzling questions. Are You Smart Enough to Work at Google? guides readers through the surprising solutions to dozens of the most challenging interview questions. The book covers the importance of creative thinking, ways to get a leg up on the competition, what your Facebook page says about you, and much more. Are You Smart Enough to Work at Google? is a must-read for anyone who wants to succeed in today's job market.

    

    As for the latter, are you a programmer and curious about being your own boss? Where do you turn for information? Until now, online and traditional literature havent caught up with the reality of the post-dot com bust.Micro-ISV: From Vision to Reality explains what works and why in today's emerging micro-ISV sector. Currently, thousands of programmers build and deliver great solutions ISV-style, earning success and revenues much larger than you might guess. Written by and for micro-ISVs, with help from some of the leaders of the field, this book takes you beyond just daydreaming to running your own business. It thoroughly explores how it is indeed possible to launch and maintain a small and successful ISV business, and is an ideal read if you're interested in getting started.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    This means designing systems as small composable units, expressing constraints and interactions via the type system, and using composition to guide the construction of large systems in a way that maintains the original architectural vision.The book also serves as an introduction to the Cats library. We use abstractions from Cats, and we explain the structure of Cats so you can use it without fear in your own code base. The broad ideas are not specific to Cats, but Cats provides an excellent implementation that is beneficial to learn in its own right.

    Understanding Computation explains theoretical computer science in a context you’ll recognize, helping you appreciate why these ideas matter and how they can inform your day-to-day programming.Rather than use mathematical notation or an unfamiliar academic programming language like Haskell or Lisp, this book uses Ruby in a reductionist manner to present formal semantics, automata theory, and functional programming with the lambda calculus. It’s ideal for programmers versed in modern languages, with little or no formal training in computer science.* Understand fundamental computing concepts, such as Turing completeness in languages* Discover how programs use dynamic semantics to communicate ideas to machines* Explore what a computer can do when reduced to its bare essentials* Learn how universal Turing machines led to today’s general-purpose computers* Perform complex calculations, using simple languages and cellular automata* Determine which programming language features are essential for computation* Examine how halting and self-referencing make some computing problems unsolvable* Analyze programs by using abstract interpretation and type systems

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates