Learning XML

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449378870
Total Pages : 419 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Learning XML by : Erik T. Ray

Download or read book Learning XML written by Erik T. Ray and published by "O'Reilly Media, Inc.". This book was released on 2003-09-22 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of the bestselling Learning XML provides web developers with a concise but grounded understanding of XML (the Extensible Markup Language) and its potential-- not just a whirlwind tour of XML.The author explains the important and relevant XML technologies and their capabilities clearly and succinctly with plenty of real-life projects and useful examples. He outlines the elements of markup--demystifying concepts such as attributes, entities, and namespaces--and provides enough depth and examples to get started. Learning XML is a reliable source for anyone who needs to know XML, but doesn't want to waste time wading through hundreds of web sites or 800 pages of bloated text.For writers producing XML documents, this book clarifies files and the process of creating them with the appropriate structure and format. Designers will learn what parts of XML are most helpful to their team and will get started on creating Document Type Definitions. For programmers, the book makes syntax and structures clear. Learning XML also discusses the stylesheets needed for viewing documents in the next generation of browsers, databases, and other devices.Learning XML illustrates the core XML concepts and language syntax, in addition to important related tools such as the CSS and XSL styling languages and the XLink and XPointer specifications for creating rich link structures. It includes information about three schema languages for validation: W3C Schema, Schematron, and RELAX-NG, which are gaining widespread support from people who need to validate documents but aren't satisfied with DTDs. Also new in this edition is a chapter on XSL-FO, a powerful formatting language for XML. If you need to wade through the acronym soup of XML and start to really use this powerful tool, Learning XML, will give you the roadmap you need.

XSLT

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 9780596000530
Total Pages : 488 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis XSLT by : Doug Tidwell

Download or read book XSLT written by Doug Tidwell and published by "O'Reilly Media, Inc.". This book was released on 2001 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you ever needed to convert documents from XML to HTML ? Or from one XML vocabulary to another ? Extensible Stylesheet Transformations (XSLT) provide a critical bridge between XML processing and more familiar HTML, as well as between XML vocabularies. XSLT demonstrates how to use this powerful, but complex, tool for a wide variety of conversions. Examples illustrate many different cases and techniques, giving you working code to explore and modify for your own purposes. Originally created for page layout, XSLT has grown into one of the tore technologies used by most developers processing XML. Through clear and entertaining explanations, this book shows you how to use XSLT as a general-purpose translation tool, a system for reorganizing document content, and a tool for generating multiple results (including HTML, VRML, and SVG) from the same content. Though XSLT is extremely useful, it can also be daunting to new users. XSLT uses an XML-based template syntax combined with a terse vocabulary called XPath that identifies how the template applies to the original document. The understanding of " variables " in XSLT is very different from the understanding of " variables " in procedural languages, for instance. Getting started with XSLT is difficult, and advanced techniques require a thorough understanding of how XSLT templates work and interact with one another. XSLT brings it all together, giving developers both a thorough tutorial and a reference. It examines both XSLT and XPath, a critical companion standard, and explores subjects ranging from basic transformations to complex sorting and linking. In addition, the book explores extension functions on various XSLT processors and how to combine multiple documents with XSLT. Examples demonstrate all of the techniques described. Examples also illustrate how to use XSLT to generate a ride variety of target document types, including HTML, SVG, JPEG, Java source code, and XSLT stylesheets.

HTML for the World Wide Web

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Publisher : Peachpit Press
ISBN 13 : 9780321130075
Total Pages : 488 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis HTML for the World Wide Web by : Elizabeth Castro

Download or read book HTML for the World Wide Web written by Elizabeth Castro and published by Peachpit Press. This book was released on 2003 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: bull; Task-based approach teaches readers how to combine HTML and CSS to create sharp, consistent Web pages regardless of monitor size, browser, platform, or viewing device. bull; Comprehensive coverage of the transition from HTML to XHTML, including the differences between the languages. bull; Packed with tips, techniques, and illustrations--all updated to reflect newer browsers and the changing use of HTML.

XQuery

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491915129
Total Pages : 762 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis XQuery by : Priscilla Walmsley

Download or read book XQuery written by Priscilla Walmsley and published by "O'Reilly Media, Inc.". This book was released on 2015-12-02 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for query writers who have some knowledge of XML basics, but not necessarily advanced knowledge of XML-related technologies, this book is ideal as both a tutorial and a reference. You?ll find background information for namespaces, schemas, built-in types, and regular expressions that are relevant to writing XML queries.

SVG Essentials

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449313213
Total Pages : 371 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis SVG Essentials by : J. David Eisenberg

Download or read book SVG Essentials written by J. David Eisenberg and published by "O'Reilly Media, Inc.". This book was released on 2002-02-05 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scalable Vector Graphics -- or SVG -- is the new XML-based graphics standard from the W3C that will enable Web documents to be smaller, faster and more interactive. J. David Eisenberg's insightful book takes you through the ins and outs of SVG, beginning with basics needed to create simple line drawings and then moving through more complicated features like filters, transformations, and integration with Java, Perl, and XSLT.Unlike GIFs, JPEGs or PNGs (which are bitmapped), SVG images are both resolution- and device-independent, so that they can scale up or down to fit proportionally into any size display or any Internet device -- from PDAs to large office monitors and high-resolution printers. Smaller than bitmapped files and faster to download, SVG images can be rendered with different CSS styles for each environment. They work well across a range of available bandwidths.SVG makes it possible for designers to escape the constant need to update graphics by hand or use custom code to generate bitmap images. And while SVG was created with the Web in mind, the language has a variety of other uses. SVG greatly simplifies tasks like: Creating web sites whose graphics reflect the content of the page, changing automatically if the content changes Generating graphs and charts from information stored in a wide variety of sources Exchanging detailed drawings, from architectural plans to CAD layouts to project management diagrams Creating diagrams that users can explore by zooming in and panning around Generating bitmap images for use in older browsers using simple automatable templates Managing graphics that support multiple languages or translations Creating complex animation By focusing sharply on the markup at the foundation of SVG, SVG Essentials gives you a solid base on which to create your own custom tools. Explanations of key technical tools -- like XML, matrix math, and scripting -- are included as appendices, along with a reference to the SVG vocabulary.Whether you're a graphic designer in search of new tools or a programmer dealing with the complex task of creating and managing graphics, SVG Essentials provides you with the means to take advantage of SVG.

Learning Spark

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Publisher : O'Reilly Media
ISBN 13 : 1492050016
Total Pages : 400 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Learning Spark by : Jules S. Damji

Download or read book Learning Spark written by Jules S. Damji and published by O'Reilly Media. This book was released on 2020-07-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow

Tomcat: The Definitive Guide

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 059655205X
Total Pages : 320 pages
Book Rating : 4.53/5 ( download)

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Book Synopsis Tomcat: The Definitive Guide by : Jason Brittain

Download or read book Tomcat: The Definitive Guide written by Jason Brittain and published by "O'Reilly Media, Inc.". This book was released on 2003-06-13 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jakarta Tomcat is not only the most commonly used open source servlet engine today, it's become the de facto standard by which other servlet engines are measured. Powerful and flexible, it can be used as a stand-alone web server or in conjunction with another server, like Apache or IIS, to run servlets or JSPs. But mastery of Tomcat is not easy: because it's as complex as it is complete. Tomcat: The Definitive Guide answers vexing questions that users, administrators, and developers alike have been asking. This concise guide provides much needed information to help harness Tomcat's power and wealth of features.Tomcat: The Definitive Guide offers something for everyone who uses Tomcat. System and network administrators will find detailed instructions on installation, configuration, and maintenance. For users, it supplies insightful information on how to deploy Tomcat. And seasoned enterprise Java developers will have a complete reference to setting up, running, and using this powerful softwareThe book begins with an introduction to the Tomcat server and includes an overview of the three types of server configurations: stand-alone, in-process, and out-of-process. The authors show how directories are laid out, cover the initial setup, and describe how to set the environment variables and modify the configuration files, concluding with common errors, problems, and solutions. In subsequent chapters, they cover: The server.xml configuration file Java Security manager Authentication schemes and Tomcat users The Secure Socket Layer (SSL) Tomcat JDBC Realms Installing servlets and Java Server Pages Integrating Tomcat with Apache Advanced Tomcat configuration and much more.Tomcat: The Definitive Guide covers all major platforms, including Windows, Solaris, Linux, and Mac OS X, contains details on Tomcat configuration files, and has a quick-start guide to get developers up and running with Java servlets and JavaServer Pages. If you've struggled with this powerful yet demanding technology in the past, this book will provide the answers you need.

An Introduction to Statistical Learning

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Publisher : Springer Nature
ISBN 13 : 3031387473
Total Pages : 617 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis An Introduction to Statistical Learning by : Gareth James

Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Learning XML

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Publisher :
ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Learning XML by : Mem Lnc

Download or read book Learning XML written by Mem Lnc and published by . This book was released on 2020-09-26 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: xtensible Markup Language (XML) is used to describe data. The XML standard is a flexible way to create information formats and electronically share structured data via the public Internet, as well as via corporate networks.XML code, a formal recommendation from the World Wide Web Consortium (W3C), is similar to Hypertext Markup Language (HTML). Both XML and HTML contain markup symbols to describe page or file contents. HTML code describes Web page content (mainly text and graphic images) only in terms of how it is to be displayed and interacted with.XML data is known as self-describing or self-defining, meaning that the structure of the data is embedded with the data, thus when the data arrives there is no need to pre-build the structure to store the data; it is dynamically understood within the XML. The XML format can be used by any individual or group of individuals or companies that want to share information in a consistent way. XML is actually a simpler and easier-to-use subset of the Standard Generalized Markup Language (SGML), which is the standard to create a document structure.The basic building block of an XML document is an element, defined by tags. An element has a beginning and an ending tag. All elements in an XML document are contained in an outermost element known as the root element. XML can also support nested elements, or elements within elements. This ability allows XML to support hierarchical structures. Element names describe the content of the element, and the structure describes the relationship between the elements.An XML document is considered to be "well formed" (that is, able to be read and understood by an XML parser) if its format complies with the XML specification, if it is properly marked up, and if elements are properly nested. XML also supports the ability to define attributes for elements and describe characteristics of the elements in the beginning tag of an element.

Data Science from Scratch

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904402
Total Pages : 330 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Data Science from Scratch by : Joel Grus

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. 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