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XQuery: Search Across a Variety of XML Data
The W3C XQuery 3.1 standard provides a tool to search, extract, and manipulate content, whether it's in XML, JSON or plain text. With this fully updated, in-depth tutorial, you’ll learn to program with this highly practical query language.
Designed for query writers who have some knowledge of XML basics, but... | | Implementing DirectAccess with Windows Server 2016
Learn how to design, plan, implement, and support a secure remote access solution using DirectAccess in Windows Server 2016. Remote Access has been included in the Windows operating system for many years. With each new operating system release, new features and capabilities have been included to allow network engineers and security... | | Practical Machine Learning
About This Book
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Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
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Comprehensive practical solutions taking you into the future of machine learning
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Go a step further and integrate your machine learning projects with
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MVVM in Delphi: Architecting and Building Model View ViewModel Applications
Dive into the world of MVVM, learn how to build modern Windows applications, and prepare for cross-platform development. This book introduces you to the right mindset and demonstrates suitable methodologies that allow for quick understanding of the MVVM paradigm. MVVM in Delphi shows you how to use a quick and efficient MVVM ... | | The Book of R: A First Course in Programming and Statistics
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical... | | Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,... |
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