Download Free Computer Ebooks - NET BOOKS |
| Lynda.com Practical And Effective JavaScript Posted: 23 Apr 2009 04:58 PM PDT
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| Illustrator CS3 One-on-One: Advanced Techniques Posted: 23 Apr 2009 08:07 AM PDT
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| Posted: 23 Apr 2009 02:18 AM PDT  Beginning Database-Driven Application Development in Java™ EE: Using GlassFish™ (From Novice to Professional) Product Description Beginning Database-Driven Application Development in Java™ EE: Using GlassFish™ focuses on the open source GlassFish persistence engine. This book shows Java programmers how to develop applications utilizing relational database technologies with examples using Oracle and MySQL and the GlassFish application development framework and deployment platform all based on Java EE.
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| Open Source Software: Implementation and Management Posted: 23 Apr 2009 02:17 AM PDT  Open Source Software: Implementation and Management Book Description |
| Ruby on Rails Power!: The Comprehensive Guide Posted: 23 Apr 2009 02:15 AM PDT  Ruby on Rails Power!: The Comprehensive Guide Product Description Ruby on Rails Power! is a comprehensive introduction to both the Ruby language and the Ruby on Rails framework, providing you with everything you need to author the next successful Web 2.0 application. It starts with the basics: installing Ruby, Ruby on Rails, and MySQL, and building a simple application in Rails. Then, since the Ruby on Rails framework is powered by the Ruby language, the book moves on to cover the basics of Ruby, making the learning curve for Ruby on Rails much easier to navigate. From there, the fundamentals everyone needs to develop a robust web application in Rails are covered in depth, from creating an interface to create, retrieve, update and delete records in a database with the Rails scaffold generator, to understanding the Model View Controller paradigm (Active Record, Action Controller and Action View) and using web services, AJAX, and Adobe Flex. By the end of the book, you'll have created numerous applications in Rails, including a blog, a wiki, and a forum. |
| Posted: 23 Apr 2009 02:14 AM PDT  CSS Cookbook, 2nd Edition Product Description Arranged in a quick-lookup format for easy reference, the second edition has been updated to explain the unique behavior of the latest browsers: Microsoft’s IE 7 and Mozilla’s Firefox 1.5. Also, the book has been expanded to cover the interaction of CSS and images and now includes more recipes for beginning CSS users. The explanation that accompanies each recipe enables you to customize the formatting for your specific needs. With topics that range from basic web typography and page layout to techniques for formatting lists, forms, and tables, this book is a must-have companion, regardless of your experience with Cascading Style Sheets. |
| Posted: 23 Apr 2009 02:13 AM PDT  Proceedings of the Logic Colloquium. Held in Aachen, July 18-23, 1983: Part 2: Computation and Proof Theory
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| Posted: 23 Apr 2009 02:11 AM PDT  Computable Models Product Description Computational models can be found everywhere in present day science and engineering. In providing a logical framework and foundation for the specification and design of specification languages, Raymond Turner uses this framework to introduce and study computable models. In doing so he presents the first systematic attempt to provide computational models with a logical foundation. Computable models have wide-ranging applications from programming language semantics and specification languages, through to knowledge representation languages and formalism for natural language semantics. They are also implicit in computer modelling in many areas of physical and social science. This detailed investigation into the logical foundations of specification and specification languages and their application to the definition of programming languages, coupled with a clear exposition of theories of data and computable models as mathematical notions will be welcomed by researchers and graduate students. |
| Posted: 23 Apr 2009 02:09 AM PDT  Bayesian Computation With R Product Description There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R’s open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace’s method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling. Algorithms written in R are used to develop Bayesian tests and assess Bayesian models by use of the posterior predictive distribution. The use of R to interface with WinBUGS, a popular MCMC computing language, is described with several illustrative examples. This book is a suitable companion book for an introductory course on Bayesian methods and is valuable to the statistical practitioner who wishes to learn more about the R language and Bayesian methodology. The LearnBayes package, written by the author and available from the CRAN website, contains all of the R functions described in the book. The second edition contains several new topics such as the use of mixtures of conjugate priors and the use of Zellner's g priors to choose between models in linear regression. There are more illustrations of the construction of informative prior distributions, such as the use of conditional means priors and multivariate normal priors in binary regressions. The new edition contains changes in the R code illustrations according to the latest edition of the LearnBayes package. |
| Derivatives Markets (2nd Edition) Posted: 23 Apr 2009 01:40 AM PDT  Derivatives Markets (2nd Edition) Product Description |
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