Jumat, 08 April 2016

1Bookcase - 20 books ready for downloading


1Bookcase - 20 books ready for downloading

Link to 1Bookcase

Professional C# 6 and .NET Core 1.0

Posted: 07 Apr 2016 03:43 PM PDT

Professional Csharp 6 and .NET Core 1.0

Professional C# 6 and .NET Core 1.0.

A true professional’s guide to C# 6

Professional C# 6 and .NET Core 1.0 provides complete coverage of the latest updates, features, and capabilities, giving you everything you need for C#. Get expert instruction on the latest changes to Visual Studio 2015, Windows Runtime, ADO.NET, ASP.NET, Windows Store Apps, Windows Workflow Foundation, and more, with clear explanations, no-nonsense pacing, and valuable expert insight. This incredibly useful guide serves as both tutorial and desk reference, providing a professional-level review of C# architecture and its application in a number of areas. You’ll gain a solid background in managed code and .NET constructs within the context of the 2015 release, so you can get acclimated quickly and get back to work.

The new updates can actively streamline your workflow, with major changes including reimagined C# refactoring support, a new .NET Web app stack, and the .NET compiler platform that makes C# and Visual Basic compilers available as APIs. This book walks you through the changes with a comprehensive C# review.

  • Explore the new Visual Studio templates for ASP.NET Core 1.0, Web Forms, and MVC
  • Learn about the networking switch to HttpClient and ASP.NET Web API’s replacement of WCF Data Services
  • Work with the latest updates to the event log, Windows Runtime 2.0, and Windows 8.1 deployment and localization
  • Dig deep into the new .NET 5.0 GC behaviors and the Migrations addition to ADO.NET

Microsoft has stepped up both the cadence and magnitude of their software releases. Professional C# 6 and .NET Core 1.0 shows you everything you need to know about working with C# in a real-world context.

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Express in Action

Posted: 07 Apr 2016 03:27 PM PDT

Express in Action

Express in Action: Writing, building, and testing Node.js applications.

EPUB & MOBI format will be updated later.

Express in Action teaches you how to build web applications using Node and Express. It starts by introducing Node’s powerful traits and shows you how they map to the features of Express. You’ll explore key development techniques, meet the rich ecosystem of companion tools and libraries, and get a glimpse into its inner workings. By the end of the book, you’ll be able to use Express to build a Node app and know how to test it, hook it up to a database, and automate the dev process.

What’s Inside

  • Simplify Node app setup with Express
  • Testing Express applications
  • Use Express for easy access to Node features
  • Data storage with MongoDB
  • Covers Express 4 and Express 5 alpha

About the Technology

Express.js is a web application framework for Node.js. Express organizes your server-side JavaScript into testable, maintainable modules. It provides a powerful set of features to efficiently manage routes, requests, and views along with beautiful boilerplate for your web applications. Express helps you concentrate on what your application does instead of managing time-consuming technical details.

About the Reader

To get the most out of this book, you’ll need to know the basics of web application design and be proficient with JavaScript.

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JavaScript Application Design

Posted: 07 Apr 2016 03:26 PM PDT

JavaScript Application Design

JavaScript Application Design: A Build First Approach.

JavaScript Application Design: A Build First Approach introduces techniques to improve software quality and development workflow. You’ll begin by learning how to establish processes designed to optimize the quality of your work. You’ll execute tasks whenever your code changes, run tests on every commit, and deploy in an automated fashion. Then you’ll focus on designing modular components and composing them together to build robust applications.

What’s Inside

  • Automated development, testing, and deployment processes
  • JavaScript fundamentals and modularity best practices
  • Modular, maintainable, and well-tested applications
  • Master asynchronous flows, embrace MVC, and design a REST API

About the Technology

The fate of most applications is often sealed before a single line of code has been written. How is that possible? Simply, bad design assures bad results. Good design and effective processes are the foundation on which maintainable applications are built, scaled, and improved. For JavaScript developers, this means discovering the tooling, modern libraries, and architectural patterns that enable those improvements.

About the reader

This book assumes readers understand the basics of JavaScript.

The post JavaScript Application Design appeared first on 1Bookcase.

Barcodes with iOS

Posted: 07 Apr 2016 03:26 PM PDT

Barcodes with iOS

Barcodes with iOS: Bringing together the digital and physical worlds.

Barcodes with iOS teaches you how to effectively use barcodes in your iOS apps. You’ll master Apple’s new barcode frameworks while you explore real-world examples that integrate code scanning and generation and metadata retrieval into your apps. Along the way, you’ll pick up numerous best practices for bringing together the physical and digital worlds.

What’s Inside

  • Learn about all barcode formats supported by iOS
  • Native barcode scanning with AV Foundation
  • Using Core Image and BarCodeKit to produce a wide range of barcodes
  • Printing to sheets and labels with AirPrint
  • Retrieving metadata for products with NSURLSession and NSURLProtocol
  • Harnessing context information from Core Location and iBeacons

About the Technology

Barcodes are a universal way to track and share information, appearing on everything from cereal boxes to shop windows. Starting with iOS 7, Apple has added native features for building apps that scan, display, and print barcodes, eliminating the need for third-party libraries.

About the reader

This book is written for readers with a working knowledge of Objective-C and iOS app development.

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D3.js in Action

Posted: 07 Apr 2016 03:26 PM PDT

D3.js in Action

D3.js in Action.

D3.js in Action introduces you to the most powerful web data visualization library available and shows you how to use it to build interactive graphics and data-driven applications. You’ll start with dozens of practical use cases that align with different types of charts, networks, and maps using D3’s out-of-the-box layouts. Then, you’ll explore practical techniques for content design, animation, and representation of dynamic data—including interactive graphics and live streaming data.

What’s Inside

  • Interacting with vector graphics
  • Expressive data visualization
  • Creating rich mapping applications
  • Prepping your data
  • Complete data-driven web apps in D3

About the Technology

D3.js is a JavaScript library that allows data to be represented graphically on a web page. Because it uses the broadly supported SVG standard, D3 allows you to create scalable graphs for any modern browser. You start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that responsively scale to any screen.

About the reader

Readers need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG is required.

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Storm Applied

Posted: 07 Apr 2016 03:25 PM PDT

Storm Applied

Storm Applied: Strategies for real-time event processing.

Storm Applied is an example-driven guide to processing and analyzing real-time data streams. This immediately useful book starts by teaching you how to design Storm solutions the right way. Then, it quickly dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more. Along the way, you’ll learn to use Trident for stateful stream processing, along with other tools from the Storm ecosystem.

What’s Inside

  • Mapping real problems to Storm components
  • Performance tuning and scaling
  • Practical troubleshooting and debugging
  • Exactly-once processing with Trident

About the Technology

It’s hard to make sense out of data when it’s coming at you fast. Like Hadoop, Storm processes large amounts of data but it does it reliably and in real time, guaranteeing that every message will be processed. Storm allows you to scale with your data as it grows, making it an excellent platform to solve your big data problems.

About the reader

This book moves through the basics quickly. While prior experience with Storm is not assumed, some experience with big data and real-time systems is helpful.

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FPGA Design, 2nd Edition

Posted: 07 Apr 2016 03:24 PM PDT

Springer.FPGA.Design.Best.Practices.for.Team-based.Reuse.3319179233

FPGA Design: Best Practices for Team-based Reuse, 2nd Edition.

This book describes best practices for successful FPGA design. It is the result of the author's meetings with hundreds of customers on the challenges facing each of their FPGA design teams. By gaining an understanding into their design environments, processes, what works and what does not work, key areas of concern in implementing system designs have been identified and a recommended design methodology to overcome these challenges has been developed.

This book's content has a strong focus on design teams that are spread across sites. The goal being to increase the productivity of FPGA design teams by establishing a common methodology across design teams; enabling the exchange of design blocks across teams.

Coverage includes the complete FPGA design flow, from the basics to advanced techniques.  This new edition has been enhanced to include new sections on System modeling, embedded design and high level design. The original sections on Design Environment, RTL design and timing closure have all been expanded to include more up to date techniques as well as providing more extensive scripts and RTL code that can be reused by readers.

  • Presents complete, field-tested methodology for FPGA design, focused on reuse across design teams;
  • Offers best practices for FPGA timing closure, in-system debug, and board design;
  • Details techniques to resolve common pitfalls in designing with FPGAs.

The post FPGA Design, 2nd Edition appeared first on 1Bookcase.

Linear and Nonlinear Programming, 4th Edition

Posted: 07 Apr 2016 03:23 PM PDT

Springer.Linear.and.Nonlinear.Programming.3319188410

Linear and Nonlinear Programming, 4th Edition.

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular.  Again a connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve the problem.  As in the earlier editions, the material in this fourth edition is organized into three separate parts.  Part I is a self-contained introduction to linear programming covering numerical algorithms and many of its important special applications.  Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms.  Part III extends the concepts developed in the second part to constrained optimization problems.  It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.

New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming.  Indeed, many conic structures are possible and useful in a variety of applications.  It must be recognized, however, that conic linear programming is an advanced topic, requiring special study.  Other important and popular topics include (1) an accelerated steepest descent method that exhibits superior convergence properties and (2) the alternating direction method with multipliers (ADMM) that can be implemented distributionally.  The proof of the convergence property for both standard and accelerated steepest descent methods are presented in Chapter 8, and the analysis of ADMM in Chapter 14 as a dual method.  As in previous editions, end-of-chapter exercises appear for most chapters.

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PostGIS in Action, 2nd Edition

Posted: 07 Apr 2016 11:26 AM PDT

PostGIS in Action 2nd Edition

PostGIS in Action, 2nd Edition.

PostGIS in Action, Second Edition teaches you to solve real-world geodata problems. It first gives you a background in vector-, raster-, and topology-based GIS and then quickly moves into analyzing, viewing, and mapping data. You’ll learn how to optimize queries for maximum speed, simplify geometries for greater efficiency, and create custom functions for your own applications. You’ll also learn how to apply your existing GIS knowledge to PostGIS and integrate with other GIS tools.

What’s Inside

  • An introduction to spatial databases
  • Geometry, geography, raster, and topology spatial types, functions, and queries
  • Applying PostGIS to real-world problems
  • Extending PostGIS to web and desktop applications
  • Updated for PostGIS 2.x and PostgreSQL 9.x

About the Technology

Processing data tied to location and topology requires specialized know-how. PostGIS is a free spatial database extender for PostgreSQL, every bit as good as proprietary software. With it, you can easily create location-aware queries in just a few lines of SQL code and build the back end for a mapping, raster analysis, or routing application with minimal effort.

About the reader

Familiarity with relational database and GIS concepts is helpful but not required.

The post PostGIS in Action, 2nd Edition appeared first on 1Bookcase.

Big Data

Posted: 07 Apr 2016 11:19 AM PDT

Big Data

Big Data: Principles and best practices of scalable realtime data systems.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You’ll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you’ll learn specific technologies like Hadoop, Storm, and NoSQL databases.

What’s Inside

  • Introduction to big data systems
  • Real-time processing of web-scale data
  • Tools like Hadoop, Cassandra, and Storm
  • Extensions to traditional database skills

About the Technology

Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.

About the reader

This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.

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R in Action, 2nd Edition

Posted: 07 Apr 2016 11:12 AM PDT

R in Action 2nd Edition

R in Action: Data analysis and graphics with R, 2nd Edition.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You’ll also master R’s extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

What’s Inside

  • Complete R language tutorial
  • Using R to manage, analyze, and visualize data
  • Techniques for debugging programs and creating packages
  • OOP in R
  • Over 160 graphs

About the Technology

Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you’re likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.

About the reader

This book is designed for readers who need to solve practical data analysis problems using the R language and tools. Some background in mathematics and statistics is helpful, but no prior experience with R or computer programming is required.

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Elixir in Action

Posted: 07 Apr 2016 11:04 AM PDT

Elixir in Action

Elixir in Action.

Elixir in Action teaches you how to solve practical problems of scalability, concurrency, fault tolerance, and high availability using Elixir. You’ll start with the language, learning basic constructs and building blocks. Then, you’ll learn to think about problems using Elixir’s functional programming mindset. With that solid foundation, you’ll confidently explore Elixir’s seamless integration with BEAM and Erlang’s powerful OTP framework of battle-tested abstractions you can use immediately. Finally, the book provides guidance on how to distribute a system over multiple machines and control it in production.

What’s Inside

  • Practical introduction to the Elixir language
  • Functional programming idioms
  • Mastering the OTP framework
  • Creating deployable releases

About the Technology

Elixir is a modern programming language that takes advantage of BEAM, the Erlang virtual machine, without the burden of Erlang’s complex syntax and conventions. Elixir gives you Ruby-like elegance with the power to develop bulletproof distributed server systems that can handle massive numbers of simultaneous clients and run with almost no downtime.

About the reader

Requires no previous experience with Elixir, Erlang, or the OTP. Written for readers who are familiar with another programming language like Ruby, JavaScript, or C#.

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R for Marketing Research and Analytics

Posted: 07 Apr 2016 11:03 AM PDT

Springer.R.for.Marketing.Research.and.Analytics.3319144359

R for Marketing Research and Analytics.

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.

Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.

With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

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Statistical Analysis of Financial Data in R, 2nd Edition

Posted: 07 Apr 2016 11:00 AM PDT

Springer.Statistical.Analysis.of.Financial.Data.in.R.2nd.Edition.1461487870

Statistical Analysis of Financial Data in R, 2nd Edition.

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This book fills this gap by addressing some of the most challenging issues facing any financial engineer. It shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems.

Concerns of risk management are addressed by the control of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Data description techniques such as principal component analysis (PCA), smoothing, and regression are applied to the construction of yield and forward curve. Nonparametric estimation and nonlinear filtering are used for option pricing and earnings prediction.

The book is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. Because it was designed as a teaching vehicle, it is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the computing environment of R. They illustrate problems occurring in the commodity and energy markets, the fixed income markets as well as the equity markets, and even some new emerging markets like the weather markets.

The book can help quantitative analysts by guiding them through the details of statistical model estimation and implementation. It will also be of interest to researchers wishing to manipulate financial data, implement abstract concepts, and test mathematical theories, especially by addressing practical issues that are often neglected in the presentation of the theory.

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Applied Multivariate Statistical Analysis, 4th Edition

Posted: 07 Apr 2016 10:49 AM PDT

Springer.Applied.Multivariate.Statistical.Analysis.4th.Edition.3662451700

Applied Multivariate Statistical Analysis, 4th Edition.

Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners.  It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added.  All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers' preferences are collected in order to construct models of consumer behavior.  All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.

The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features:

  • A new chapter on Variable Selection (Lasso, SCAD and Elastic Net)
  • All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de.

The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

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Applied Conjoint Analysis

Posted: 07 Apr 2016 10:43 AM PDT

Springer.Applied.Conjoint.Analysis.3540877525

Applied Conjoint Analysis.

Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers' decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences.

After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments.

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R for Cloud Computing

Posted: 07 Apr 2016 10:37 AM PDT

Springer.R.for.Cloud.Computing.An.Approach.for.Data.Scientists.1493917013

R for Cloud Computing: An Approach for Data Scientists.

R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on both cloud computing, R, common tasks performed in analytics including the current focus and scrutiny of Big Data Analytics, setting up and navigating cloud providers.

Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily. It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R.

This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level.

The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.

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Beginning Data Science with R

Posted: 07 Apr 2016 10:34 AM PDT

Beginning.Data.Science.with

Beginning Data Science with R.

"We live in the age of data. In the last few years, the methodology of extracting insights from data or “data science” has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.

The goal of "Beginning Data Science with R" is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

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Retail Supply Chain Management, 2nd Edition

Posted: 07 Apr 2016 10:30 AM PDT

Springer.Retail.Supply.Chain.Management.Quantitative.Models.and.Empirical.Studies.1489975616

Retail Supply Chain Management: Quantitative Models and Empirical Studies, 2nd Edition.

This new edition focuses on three crucial areas of retail supply chain management: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning and (3) integrating price optimization into retail supply chain decisions. The book has been fully updated, expanding on the distinguishing features of the original, while offering three new chapters on recent topics which reflect areas of great interest and relevance to the academic and professional communities alike – inventory management in the presence of data inaccuracies, retail workforce management, and fast fashion retail strategies. The innovations, lessons for practice, and new technological solutions for managing retail supply chains are important not just in retailing, but offer crucial insights and strategies for the ultimate effective management of supply chains in other industries as well.

The retail industry has emerged as a fascinating choice for researchers in the field of supply chain management.  It presents a vast array of stimulating challenges that have long provided the context of much of the research in the area of operations research and inventory management.  However, in recent years, advances in computing capabilities and information technologies, hyper-competition in the retail industry, emergence of multiple retail formats and distribution channels, an ever increasing trend towards a globally dispersed retail network, and a better understanding of the importance of collaboration in the extended supply chain have led to a surge in academic research on topics in retail supply chain management.  Many supply chain innovations (e.g., vendor managed inventory) were first conceived and successfully validated in this industry, and have since been adopted in others.  Conversely, many retailers have been quick to adopt cutting edge practices that first originated in other industries. Retail Supply Chain Management: Quantitative Models and Empirical Studies, 2nd Ed. is an attempt to summarize the state of the art in this research, as well as offer a perspective on what new applications may lie ahead.

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A Network Orange

Posted: 07 Apr 2016 10:26 AM PDT

Springer.A.Network.Orange

A Network Orange: Logic and Responsibility in the Computer Age.

The primary thesis here is the authors’ belief that the emergence of computers as an elemental force in our society must be viewed with a sceptical eye. Crandall and Levich, one a mathematician, the other a philosopher, strive, however, to present a balanced viewpoint, investigating and reflecting on the good and bad sides of this revolution, and seek meaning in this “Information Age”. Their examination is stripped of journalistic hyperbole, the cries of self-serving prophets, and the sales pitches of the soft- and hardware industries. In separating the wheat from the chaff, the authors provide readers with a much better understanding of the limitations of these new technologies, along with propositions for their better use and within the societal context.

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