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The Principles of Beautiful Web Design, 2nd Edition
This second edition of the best-selling book, The Principles of Beautiful Web Design, is the ideal book for people who can build websites, but are seeking the skills and knowledge to make the design of their websites POP. This is the ultimate design book, for the non-designer.
This book will teach you how to:
| | Making Software: What Really Works, and Why We Believe It
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held... | | Cassandra: The Definitive Guide
What could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra:... |
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Pattern Calculus: Computing with Functions and Structures
The pattern calculus is a new foundation for computation, in which the expressive power of functions and of data structures are combined within pattern-matching functions. The best existing foundations focus on either functions, as in the lambda-calculus, or on data structures, as in Turing machines, or on compromises involving both, as in... | | Multidimensional Databases: Problems and Solutions
The term "multidimensional data" generally refers to data in which a given fact is quantified by a set of measures, obtained by applying one more or less complex aggregative function (from count or sum to average or percent, and so on) to raw data. Such measures are... | | Data Mining in Finance: Advances in Relational and Hybrid Methods
Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining... |
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