This classic guide—fully updated for Windows Server 2003, Windows XP, and Windows 2000, including 64-bit extensions—describes the architecture and internals of the Windows operating system. You’ll find hands-on experiments you can use to experience Windows internal behavior firsthand, along with advanced troubleshooting information to help you keep your systems running smoothly and efficiently. Whether you’re a developer or a system administrator, you’ll find critical architectural insights that you can quickly apply for better design, debugging, performance, and support.Get in-depth, inside knowledge of the Windows operating system: Understand the key mechanisms that configure and control Windows, including dispatching, startup and shutdown, and the registry Explore the Windows security model, including access, privileges, and auditing Investigate internal system architecture using the kernel debugger and other tools Examine the data structures and algorithms that deal with processes, threads, and jobs Observe how Windows manages virtual and physical memory Understand the operation and format of NTFS, and troubleshoot file system access problems View the Windows networking stack from top to bottom, including mapping, APIs, name resolution, and protocol drivers Troubleshoot boot problems and perform crash analysis

    Beginning with an introduction to array formulas, this manual examines topics such as how they differ from ordinary formulas, the benefits and drawbacks of their use, functions that can and cannot handle array calculations, and array constants and functions. Among the practical applications surveyed include how to extract data from tables and unique lists, how to get results that match any criteria, and how to utilize various methods for unique counts. This book contains 529 screen shots.

    These were the athletes in the Olympic marathon. So how did he end up with a bronze medal? How did he win the London Marathon? And why does he still hold the English record for the distance? In this remarkable autobiography he explains how – how someone who was almost bottom of the class when he first went to school, and even worse at sport, eventually turned himself into a genuinely world-class athlete, competing in top marathons all over the world, and genuinely going from last to first. As well as the enthralling life story of one of our finest distance runners, this book is a wonderfully clear and inspiring piece of life coaching for anyone who wants to make the most of their talents. But more than this, as Spedding says at the start, ‘I believe that on occasions you can create the circumstances in which you can perform at a higher level than your talent says you can’. Spedding’s own story, and his chronicle of the big races he excelled in, proves it’s true. For anyone aspiring to run a marathon, or indeed anyone who wants to set themselves a goal they think beyond their reach – and achieve it – this is an essential book.

    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

    More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity--and possibly dilution.This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker's Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

    A fascinating combination of photograph album, scrapbook, and biography, Simple Plan's exclusive material consists of hundreds of pictures from tours all over the world and the band members' own memories and personal archives. Journalist Kathleen Lavoie has followed the band's career since their beginnings a decade ago. She has written a lively account of the fi ve young Quebecers' fl ourishing career, covering multiple facets of their life from their stage performances to their recording session and tours, on the road and by air. Her look at the personal lives of the band members and their life as a group allows readers to step into their world. This abundantly illustrated book will interest and please Simple Plan fans and music lovers in general. It is the story of an inspiring journey that proves, contrary to popular belief, that even happy stories deserve to be told.

    This text is split into distinct sections, each concentrating on a core angle of the language. The book also contains sections for Web and application development, the two most popular uses for Python. It is designed to teach a programmer how to use Python by explaining the mechanics of Python. The appendixes offer a quick guide to the main features of the Python language, as well as additional guides to non-essential systems such as the IDLE development environment and general guidelines for migrating from another language.

    It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

    Enjoy a journey through the eyes of a geek working at one of the most important companies in the world as he walks you through events both large and small. Just don't get caught in the Redmond reality distortion field! What others are saying about "A Microsoft Life": "Any self-respecting geek needs to read this book. Stepto provides an enjoyable and entertaining insight of life inside Microsoft." - Larry "Major Nelson" Hryb, Director of Programming for Xbox LIVE "Anyone who lived through the adolescent years of the computer revolution will alternate between laughing and crying (from laughing) at these great stories from inside the monolith. - Ken Denmead, NYT Bestselling Author, and editor of Geekdad.com

    By scale, we mean having numbers of users in the millions and being built by large engineering teams.For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering.

    Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation.How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clustersDeploy code faster using tools like Docker

    Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

    Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples

    The twisting Mediterranean roads, the jerseys, the peloton in full flight - these have become as familiar to him as the lines around his eyes. And then there are the riders: men of almost superhuman capabilities, men who have become his friends, men whose stories he has written day in day out for the past decade. But even the biggest fan can one day wake up to find that he has lost his faith.We all want to believe in our heroes. That's why Jeremy got into cycling. But what happens when you can't? When you've seen too many positive dope tests, when you've been lied to too many times, when your sport is destroying itself from within?Bad Blood is the story of Jeremy Whittle's journey from unquestioning fan to Tour de France insider and confirmed sceptic. It's about broken friendships and a sport divided; about having to choose sides in the war against doping; about how galloping greed and corporate opportunism have led the Tour de France to the brink of destruction. Part personal memoir, part devastating exposé of a sport torn apart by drugs and scandal, Bad Blood is a love letter to one man's past, and a warning to cycling's future.

    If you have read the Swift Programming Guide, and want to explore more, this book is for you.Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals).