The goal of this book is not to provide comprehensive coverage of each topic, but rather to provide a high level overview of the breadth and excitement of computer science. It's a quest that will take you from learning the basics of programming in a blacksmith's forge to fighting curses with recursion. Fifteen seers delivered the same prophecy, without so much as a single minstrel to lighten the mood: an unknown darkness threatens the kingdom. Suddenly, Princess Ann finds herself sent forth alone to save the kingdom. Leaving behind her home, family, and pet turtle Fido, Princess Ann must face goblin attacks, magical curses, arrogant scholars, an unpleasant oracle, and rude Boolean waiters. Along the way she must build a war chest of computational knowledge to survive the coming challenge.

    A former executive at the WordPerfect Corporation details the company's rise in the computer industry and what compelled him to leave after ten years as a driving force in the company.

    Following a cookbook-style Problem/Solution/Discussion format, this practical handbook builds on the foundational concepts of the Go language and introduces specific strategies you can use in your day-to-day applications. You'll learn techniques for building web services, using Go in the cloud, testing and debugging, routing, network applications, and much more.

    You may not like Facebook, but you can't deny its success. And to a large degree, that success stems from the "move fast" ethos. The entire culture of Facebook is built for speed.Move Fast is an exploration of modern software strategies and tactics through the lens of Facebook. Relying on in-depth interviews with more than two dozen Facebook engineers, this book explores the product strategy, cultural principles, and technologies that made Facebook the dominant social networking company. Most importantly, Move Fast investigates how you can apply those strategies to your creative projects.It's not easy to build a software company, but once you know how to move fast, your company will be prepared to build a strategy that benefits from the world's rapid changes, rather than suffering from them.

    It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

    I'm sure you'll find the read rewarding." --From the Foreword by Scott Meyers D is a programming language built to help programmers address the challenges of modern software development. It does so by fostering modules interconnected through precise interfaces, a federation of tightly integrated programming paradigms, language-enforced thread isolation, modular type safety, an efficient memory model, and more. The D Programming Language is an authoritative and comprehensive introduction to D. Reflecting the author's signature style, the writing is casual and conversational, but never at the expense of focus and pre-cision. It covers all aspects of the language (such as expressions, statements, types, functions, contracts, and modules), but it is much more than an enumeration of features. Inside the book you will find In-depth explanations, with idiomatic examples, for all language features How feature groups support major programming paradigms Rationale and best-use advice for each major feature Discussion of cross-cutting issues, such as error handling, contract programming, and concurrency Tables, figures, and "cheat sheets" that serve as a handy quick reference for day-to-day problem solving with D Written for the working programmer, The D Programming Language not only introduces the D language--it presents a compendium of good practices and idioms to help both your coding with D and your coding in general.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Often, computer science and computer engineering curricula don't provide students with a concentrated and consistent introduction to the fundamental concepts that underlie all computer systems. Traditional computer organization and logic design courses cover some of this material, but they focus largely on hardware design. They provide students with little or no understanding of how important software components operate, how application programs use systems, or how system attributes affect the performance and correctness of application programs. - A more complete view of systems - Takes a broader view of systems than traditional computer organization books, covering aspects of computer design, operating systems, compilers, and networking, provides students with the understanding of how programs run on real systems. - Systems presented from a programmers perspective - Material is presented in such a way that it has clear benefit to application programmers, students learn how to use this knowledge to improve program performance and reliability. They also become more effective in program debugging, because t

    We can all learn from these strategies. In this detailed analysis of IoT and Amazon's and other leading companies approach to it, John Rossman guides readers with practical insights and recommendations into the strategies and mindset transforming business and society. "John has laid out a blueprint not only for an enterprise wanting to understand how sensors embedded in their business can innovate old ways of working while also providing an excellent path for individuals wanting to start their own IoT business. The book is not only a reference tool but also paints a story around innovation and customer centricity to challenge the reader to think differently in solving problems." Eric Martinez -- Founder of Modjoul, former EVP AIG and Safeco Insurance The Amazon Way on IoT explains how the combination of sensors, cloud computing and machine learning can be used to improve customer experiences, drive operational improvements and build new business models. Rossman offers: - Guidance through the maze of emerging technologies, customer experiences, and business models, to arrive at a recipe just right for your organization - Key methods to success from Amazon’s master playbook such as creating seamless customer experiences, process improvement and new business models and utilizing tools such as sensors, machine learning and cloud computing - Approaches to help you tackle the technology, business and internal challenges in innovating with the internet of things. Renowned Harvard business professor Michael Porter describes the IoT as the backbone for a third-wave of technology-led innovation and digital disruption. The Amazon Way on IoT is for business people who want to learn cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach. As a leader at Amazon who held a front-row seat during its formative years, Rossman understands the iconic company better than most. From the launch of Amazon’s third-party seller program to its foray into enterprise services, he witnessed it all – the amazing successes, the little-known failures, and the experiments with outcomes still to be determined. Rossman once again examines the heart of Amazon.com’s secret to success, along with other leading companies. He incorporates an extensive focus on sophisticated IoT technologies and strategies related to Amazon’s rise: tens of millions of items in stock, the company’s technological prowess, and the many customer service innovations such as “one-click.” “This is an excellent book. And a very important book. It evokes both business thought and technical thought, which is rare.” -- Larry Hughes, former head of Amazon cyber security

    Packed with real-world examples, this book teaches you all the essentials of server-side programming, from the fundamentals of PHP and MySQL coding to advanced topics such as form validation, session IDs, cookies, database queries and joins, file I/O operations, content management, and more.Head First PHP & MySQL offers the same visually rich format that's turned every title in the Head First series into a bestseller, with plenty of exercises, quizzes, puzzles, and other interactive features to help you retain what you've learned.Use PHP to transform static HTML pages into dynamic web sites Create and populate your own MySQL database tables, and work with data stored in files Perform sophisticated MySQL queries with joins, and refine your results with LIMIT and ORDER BY Use cookies and sessions to track visitors' login information and personalize the site for users Protect your data from SQL injection attacks Use regular expressions to validate information on forms Dynamically display text based on session info and create images on the fly Pull syndicated data from other sites using PHP and XML Throughout the book, you'll build sophisticated examples -- including a mailing list, a job board, and an online dating site -- to help you learn how to harness the power of PHP and MySQL in a variety of contexts. If you're ready to build a truly dynamic website, Head First PHP & MySQL is the ideal way to get going.

    For the first time, these books are available as a boxed, three-volume set. The handsome slipcase makes this set an ideal gift for the recent computer science graduate or professional programmer. Offering a description of classical computer science, this multi-volume work is a useful resource in programming theory and practice for students, researchers, and practitioners alike. For programmers, it offers cookbook solutions to their day-to-day problems.

    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.

    It walks you through all the tablet's features, shows you how to set up the device, navigate the touchscreen interface, buy music, stream video, download apps, and read e-books from Amazon.com. The book demystifies this all-new tablet and provides a handy reference that can be conveniently downloaded and read right on your Kindle Fire device.Looks at the new Kindle Fire, which features revolutionary technology and access to cool new services; this e-book explains both in plain English Is only available in e-book format and downloads directly to the Kindle Fire and other Kindle devices, making it a handy reference you can take virtually anywhere Covers not only the basics, but also tips and tricks for taking full advantage of the Kindle Fire and the services of Amazon's online stores Kindle Fire For Dummies is packed with powerful tips designed to help you get more punch out of your Kindle Fire tablet.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    It provides a compact, readable introduction to Git for new users, as well as a reference to common commands and procedures for those of you with Git experience.Written for Git version 1.8.2, this handy task-oriented guide is organized around the basic version control functions you need, such as making commits, fixing mistakes, merging, and searching history.Examine the state of your project at earlier points in timeLearn the basics of creating and making changes to a repositoryCreate branches so many people can work on a project simultaneouslyMerge branches and reconcile the changes among themClone an existing repository and share changes with push/pull commandsExamine and change your repository’s commit historyAccess remote repositories, using different network protocolsGet recipes for accomplishing a variety of common tasks