PDF Hacks

100 Industrial-Strength Tips & Tools

Author: Sid Steward

Publisher: "O'Reilly Media, Inc."

ISBN: 9780596006556

Category: Computers

Page: 278

View: 5884

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Shows readers how to create PDF documents that are far more powerful than simple representations of paper pages, helps them get around common PDF issues, and introduces them to tools that will allow them to manage content in PDF, navigating it and reusing it as necessary. Original. (Intermediate).
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XML Hacks

100 Industrial-Strength Tips and Tools

Author: Michael Fitzgerald

Publisher: "O'Reilly Media, Inc."

ISBN: 1449397883

Category: COMPUTERS

Page: 482

View: 1821

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This is a practical guide that distills years of ingenious XML hacking into a complete set of tips, tricks and tools for those who want to leverage the untapped power of XML. It includes many real-world projects that illustrate how to define, create, read and manipulate XML documents.
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Library Journal

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Libraries

Page: N.A

View: 3532

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Includes, beginning Sept. 15, 1954 (and on the 15th of each month, Sept.-May) a special section: School library journal, ISSN 0000-0035, (called Junior libraries, 1954-May 1961). Also issued separately.
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PayPal Hacks

100 Industrial-Strength Tips & Tools

Author: Shannon Sofield,Dave Nielsen,Dave Burchell

Publisher: "O'Reilly Media, Inc."

ISBN: 9780596552961

Category: Computers

Page: 370

View: 7083

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If you've bought or sold items through eBay, or through hundreds of other online sites, then you're familiar with PayPal, the online payment service. With PayPal, a valid email address, and a credit card or bank account, you can easily send and receive payments online. Not a bank or financial institution itself, PayPal describes its service as one that builds on the financial infrastructure of bank accounts and credit cards, and using advanced propriety fraud prevention systems, creates a safe, global, real-time payment solution. Put simply, PayPal provides the means for people to conduct financial transactions online, instantly and securely.But there's more to PayPal than meets the eye. PayPal Hacks shows you how to make the most of PayPal to get the most out of your online business or transactions. Authors Shannon Sofield of Payloadz.com and PayPal evangelist David Nielsen guide you through the rigors of using and developing with PayPal. Whether you're building an ecommerce site using PayPal as a transaction provider, or simply trying to pay for an eBay auction without getting burned, PayPal Hacks will give you the skinny on this leading global online payment service.The collection of tips and tricks in PayPal Hacks shows you how to find or even build the right tools for using PayPal to buy and sell on eBay or as a transaction provider for ecommerce on your own site. Written for all PayPal users, from those just starting out to those developing sophisticated ecommerce sites, this book begins with the basics such as setting up your account, then moves quickly into specific tips and tools for buyers, sellers, and developers.With PayPal Hacks, you can: Learn extra steps to help protect yourself while buying or selling on eBay Save time and money with advanced tips and undocumented features Learn dozens of easy-to-follow procedures to help you request and receive payments and fill orders Use PayPal to handle subscriptions, affiliate systems, and donations Create and customize your customers' checkout process Effortlessly integrate PayPal's shopping cart system into your own website Implement digital fulfillment with Instant Payment Notification (IPN) and Payment Data Transfer (PDT) Develop and distribute ecommerce applications with the PayPal API Each hack consists of a task to be accomplished or a creative solution to a problem, presented in a clear, logical, and task-oriented format. PayPal Hacks provides the tools and details necessary to make PayPal more profitable, more flexible, and more convenient.
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Modeling Techniques in Predictive Analytics with Python and R

A Guide to Data Science

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 013389214X

Category: Computers

Page: 448

View: 4165

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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
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Web and Network Data Science

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller

Publisher: FT Press

ISBN: 0133887642

Category: Computers

Page: 384

View: 8157

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Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
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Handbook of Information Security, Information Warfare, Social, Legal, and International Issues and Security Foundations

Author: Hossein Bidgoli

Publisher: Wiley

ISBN: 9780471648314

Category: Business & Economics

Page: 1008

View: 702

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The Handbook of Information Security is a definitive 3-volume handbook that offers coverage of both established and cutting-edge theories and developments on information and computer security. The text contains 180 articles from over 200 leading experts, providing the benchmark resource for information security, network security, information privacy, and information warfare.
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