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Learning Drupal 8

You're reading from   Learning Drupal 8 Create complex websites quickly and easily using the building blocks of Drupal 8, the most powerful version of Drupal yet

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781782168751
Length 328 pages
Edition 1st Edition
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Concepts
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Author (1):
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Nick Abbott Nick Abbott
Author Profile Icon Nick Abbott
Nick Abbott
Nick Abbott is the head of training at iKOS. Nick started his digital life in 1981nworking on an ICL 2904 mainframe, a Commodore PET, and a Commodore VIC20.nAfter the ritual stint in BASIC, he moved on to writing games in Z80 and 6502nassemblers, hardware interfacing, and many happy hours creating business solutionsnwith the BBC Micro based around the Acorn View family. Old but not obsolete.nHe graduated with a first class degree in applied physics in the late 1980s, and henworked in IT and education right up until he joined iKOS in 2008.
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Table of Contents (16) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Installation 3. Basic Concepts 4. Getting Started with the UI 5. Basic Content 6. Structure 7. Advanced Content 8. Configuration 9. Users and Access Control 10. Optional Features 11. Reports 12. Extending Drupal 13. Theming Drupal 14. Getting Support Index

Chapter 6. Structure

In this chapter, we will be looking at organizing the structure of content on your Drupal website. To start with, we'll look at menus before investigating taxonomy in more depth than in our earlier introduction. Finally, we will take a look at creating lists of data as pages and blocks using the Views module.

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Authors (1)

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Abbott
Dean Abbott is the President of Abbott Analytics, Inc. in San Diego, California. He has over two decades experience in applying advanced data mining, data preparation, and data visualization methods in real-world data intensive problems, including fraud detection, customer acquisition and retention, digital behavior for web applications and mobile, customer lifetime value, survey analysis, donation solicitation and planned giving. He has developed, coded, and evaluated algorithms for use in commercial data mining and pattern recognition products, including polynomial networks, neural networks, radial basis functions, and clustering algorithms for multiple software vendors. He is a seasoned instructor, having taught a wide range of data mining tutorials and seminars to thousands of attendees, including PAW, KDD, INFORMS, DAMA, AAAI, and IEEE conferences. He is the instructor of well-regarded data mining courses, explaining concepts in language readily understood by a wide range of audiences, including analytics novices, data analysts, statisticians, and business professionals. He also has taught both applied and hands-on data mining courses for major software vendors, including IBM SPSS Modeler, Statsoft STATISTICA, Salford System SPM, SAS Enterprise Miner, IBM PredictiveInsight, Tibco Spotfire Miner, KNIME, RapidMiner, and Megaputer Polyanalyst.
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