But you don't need to commit every XML syntax, API, or XSLT transformation to memory; you only need to know where to find it. And if it's a detail that has to do with XML or its companion standards, you'll find it--clear, concise, useful, and well-organized--in the updated third edition of XML in a Nutshell.With XML in a Nutshell beside your keyboard, you'll be able to: Quick-reference syntax rules and usage examples for the core XML technologies, including XML, DTDs, Xpath, XSLT, SAX, and DOM Develop an understanding of well-formed XML, DTDs, namespaces, Unicode, and W3C XML Schema Gain a working knowledge of key technologies used for narrative XML documents such as web pages, books, and articles technologies like XSLT, Xpath, Xlink, Xpointer, CSS, and XSL-FO Build data-intensive XML applications Understand the tools and APIs necessary to build data-intensive XML applications and process XML documents, including the event-based Simple API for XML (SAX2) and the tree-oriented Document Object Model (DOM) This powerful new edition is the comprehensive XML reference. Serious users of XML will find coverage on just about everything they need, from fundamental syntax rules, to details of DTD and XML Schema creation, to XSLT transformations, to APIs used for processing XML documents. XML in a Nutshell also covers XML 1.1, as well as updates to SAX2 and DOM Level 3 coverage. If you need explanation of how a technology works, or just need to quickly find the precise syntax for a particular piece, XML in a Nutshell puts the information at your fingertips.Simply put, XML in a Nutshell is the critical, must-have reference for any XML developer.

    What You Will Learn - Write clean and maintainable code - Create reusable components applying consolidated techniques - Use React effectively in the browser and node - Choose the right styling approach according to the needs of the applications - Use server-side rendering to make applications load faster - Build high-performing applications by optimizing components In Detail Taking a complete journey through the most valuable design patterns in React, this book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. It will help you to make your applications more flexible, perform better, and easier to maintain - giving your workflow a huge boost when it comes to speed without reducing quality. We'll begin by understanding the internals of React before gradually moving on to writing clean and maintainable code. We'll build components that are reusable across the application, structure applications, and create forms that actually work. Then we'll style React components and optimize them to make applications faster and more responsive. Finally, we'll write tests effectively and you'll learn how to contribute to React and its ecosystem. By the end of the book, you'll be saved from a lot of trial and error and developmental headaches, and you will be on the road to becoming a React expert. Style and approach The design patterns in the book are explained using real-world, step-by-step examples. For each design pattern, there are hints about when to use it and when to look for something more suitable. This book can also be used as a practical guide, showing you how to leverage design patterns.

    This book covers all the core features of the language. It ranges widely through the Perl programmer's universe, gathering together in convenient form a wealth of information about Perl itself and its application to CGI scripts, network programming, database interaction, and graphical user interfaces. It also gives detailed coverage about using Perl within a Win32 environment.This book assembles more information about the language in one place than any other reference work. Here are just some of the topics covered in the book:Basic language reference Introduction to using Perl modules Perl and CGI: CGI basics, CGI.pm, mod_perl DBI, the database-independent API for Perl Sockets programming in Perl LWP, the library for World Wide Web programming in Perl The Net::* modules As part of the successful "in a Nutshell" series of books from O'Reilly & Associates, Perl in a Nutshell is for readers who want a single reference for all their needs.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    It is particularly valuable where the document, article, or book to be produced contains a lot of mathematics, and where the user is concerned about typographic quality. TeX software offers both writers and publishers the opportunity to produce technical text of all kinds, in an attractive form, with the speed and efficiency of a computer system.Novice and expert users alike will gain from The TeXbook the level of information they seek. Knuth warns newcomers away from the more difficult areas, while he entices experienced users with new challenges. The novice need not learn much about TeX to prepare a simple manuscript with it. But for the preparation of more complex documents, The TeXbook contains all the detail required.Knuth’s familiar wit, and illustrations specially drawn by Duane Bibby, add a light touch to an unusually readable software manual.The TeXbook is the first in a five-volume series on Computers and Typesetting, all authored by Knuth.

    You have also created a website for your business that details the products or services that you offer, but it doesn't allow potential customers to purchase anything online. Don't risk losing business-learn to create a dynamic online environment using only three programs. PHP, MySQL and Apache are three popular open-source tools that can work together to help you create a dynamic website, such as an online shopping experience. Sams Teach Yourself PHP, MySQL and Apache All in One is a complete reference manual for all three development tools. You will learn how to install, configure and set up the PHP scripting language, use the MySQL database system, and work with the Apache Web server. Then you'll take it a step further and discover how they work together to create a dynamic website. Use the book and the included CD to create a simple website, as well as a mailing list, online address book, shopping cart and storefront. Updated to reflect the most recent developments in PHP and MySQL, including the final stable release of MySQL 5.0, you will open your website to limitless possibilities with Sams Teach Yourself PHP, MySQL and Apache All in One.

    Perhaps you've taken on a larger project than the ones you're used to. Or you want to add a user interface or a networking component. Or you need to do more complicated error trapping.Whether your knowledge of Perl is casual or deep, this book will make you a more accomplished programmer. Here you can learn the complex techniques for production-ready Perl programs. This book explains methods for manipulating data and objects that may have looked like magic before. Furthermore, it sets Perl in the context of a larger environment, giving you the background you need for dealing with networks, databases, and GUIs. The discussion of internals helps you program more efficiently and embed Perl within C or C within Perl.Major topics covered include:Practical use of packages and classes (object-oriented programming) Complex data structures Persistence (e.g., using a database) Networking Graphical interfaces, using the Tk toolkit Interaction with C language functions Embedding and extending the Perl interpreterIn addition, the book patiently explains all sorts of language details you've always wanted to know more about, such as the use of references, trapping errors through the eval operator, non-blocking I/O, when closures are helpful, and using ties to trigger actions when data is accessed. You will emerge from this book a better hacker, and a proud master of Perl.

    Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.

    More importantly, this book provides a framework for thinking about computer organization and design that will enable the reader to continue the lifetime of learning necessary for staying at the forefront of this competitive discipline. --John Crawford Intel Fellow Director of Microprocessor Architecture, Intel The performance of software systems is dramatically affected by how well software designers understand the basic hardware technologies at work in a system. Similarly, hardware designers must understand the far reaching effects their design decisions have on software applications. For readers in either category, this classic introduction to the field provides a deep look into the computer. It demonstrates the relationship between the software and hardware and focuses on the foundational concepts that are the basis for current computer design. Using a distinctive learning by evolution approach the authors present each idea from its first principles, guiding readers through a series of worked examples that incrementally add more complex instructions until they ha

    This guide also teaches you safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in MySQL and InnoDB performance, features, and tools, this third edition not only offers specific examples of how MySQL works, it also teaches you why this system works as it does, with illustrative stories and case studies that demonstrate MySQL’s principles in action. With this book, you’ll learn how to think in MySQL. Learn the effects of new features in MySQL 5.5, including stored procedures, partitioned databases, triggers, and views Implement improvements in replication, high availability, and clustering Achieve high performance when running MySQL in the cloud Optimize advanced querying features, such as full-text searches Take advantage of modern multi-core CPUs and solid-state disks Explore backup and recovery strategies—including new tools for hot online backups

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    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

    It has saved me hours in troubleshooting complicated operations problems." -Trotter Cashion, cofounder, Mashion DevOps can help developers, QAs, and admins work together to solve Linux server problems far more rapidly, significantly improving IT performance, availability, and efficiency. To gain these benefits, however, team members need common troubleshooting skills and practices. In DevOps Troubleshooting: Linux Server Best Practices , award-winning Linux expert Kyle Rankin brings together all the standardized, repeatable techniques your team needs to stop finger-pointing, collaborate effectively, and quickly solve virtually any Linux server problem. Rankin walks you through using DevOps techniques to troubleshoot everything from boot failures and corrupt disks to lost email and downed websites. You'll master indispensable skills for diagnosing high-load systems and network problems in production environments. Rankin shows how to Master DevOps' approach to troubleshooting and proven Linux server problem-solving principles Diagnose slow servers and applications by identifying CPU, RAM, and Disk I/O bottlenecks Understand healthy boots, so you can identify failure points and fix them Solve full or corrupt disk issues that prevent disk writes Track down the sources of network problems Troubleshoot DNS, email, and other network services Isolate and diagnose Apache and Nginx Web server failures and slowdowns Solve problems with MySQL and Postgres database servers and queries Identify hardware failures-even notoriously elusive intermittent failures

    Recognized and respected throughout the world as the most influential leaders in the data warehousing industry, Ralph Kimball and the Kimball Group have written articles covering more than 250 topics that define the field of data warehousing. For the first time, the Kimball Group's incomparable advice, design tips, and best practices have been gathered in this remarkable collection of articles, which spans a decade of data warehousing innovation.Each group of articles is introduced with original commentaries that explain their role in the overall lifecycle methodology developed by the Kimball Group. These practical, hands-on articles are fully updated to reflect current practices and terminology and cover the complete lifecycle--including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.This easily referenced collection is nothing less than vital if you are involved with data warehousing or business intelligence in any capacity.

    Chapter 1: Introduction to Production and Operations Management Chapter 2: Strategic Operations Management Chapter 3: Production Processes, Manufacturing and Service Operations Chapter 4: Design of Production Systems Chapter 5: Manufacturing Technology Chapter 6: Long-Range Capacity Planning Chapter 7: Facility Location Chapter 8: Facility Layout Chapter 9: Design of Work Systems Chapter 10: Production/Operations Planning and Control Chapter 10: Aggregate Planning and Master Production Scheduling Chapter 11: Resource Requirement Planning Chapter 13: Shop Floor Planning and Control Chapter 14: Quality Management Chapter 15: Maintenance Management Chapter 16: Introduction to Materials Management Chapter 17: Inventory Management Chapter 18: JustlnTime Systems Chapter 19: Logistics and Supply Chain Management Index 557564