This book constitutes the thoroughly refereed post-conference proceedings of the 23rd IFIP WG 1.3 International Workshop on Algebraic Development Techniques, WADT 2016, held in September 2016 in Gregynog, UK. The 9 revised papers presented together with two invited talks, one invited paper and two survey papers were carefully reviewed and selected from numerous submissions and focus on foundations of algebraic specification; other approaches to formal specification, including process calculi and models of concurrent, distributed and mobile computing; specification languages, methods, and environments; semantics of conceptual modeling methods and techniques; model-driven development; graph transformations, term rewriting and proof systems; integration of formal specification techniques; formal testing and quality assurance, validation, and verification areas, broadly falling into three categories: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

Discover object-oriented programming with core concepts of C# in this unique tutorial. The book consists of four major sections which cover 15 core topics - nine of them are dedicated to object-oriented programming, five of them are dedicated to advanced concepts of C#, and one of them is dedicated to design patterns, with coverage of three Gang of Four design patterns with C# implementations. Finally, Interactive C# contains an FAQ section to cover all of these topics. This book uniquely presents a two-way discussion between a teacher and students. So, with this book you will have the feel of learning C# in a classroom environment or with your private tutor. Your teacher will discuss the problems/topics and ask you questions; at the same time, counter questions are provided to clarify points where necessary. What You Will Learn Become proficient in object-oriented programming Remake yourself as a great C# programmer Test your skills in C# fundamentals Use Visual Studio to write, compile and execute your code Who This Book Is ForProgrammers who want to understand the concepts and implementation of object-oriented programming in C#.

Principles of Econometrics, 4th Edition, is an introductory book on economics and finance designed to provide an understanding of why econometrics is necessary, and a working knowledge of basic econometric tools. This latest edition is updated to reflect current state of economic and financial markets and provides new content on Kernel Density Fitting and Analysis of Treatment Effects. It offers new end-of-chapters questions and problems in each chapter; updated comprehensive Glossary of Terms; and summary of Probably and Statistics. The text applies basic econometric tools to modeling, estimation, inference, and forecasting through real world problems and evaluates critically the results and conclusions from others who use basic econometric tools. Furthermore, it provides a foundation and understanding for further study of econometrics and more advanced techniques.

Get introduced to full stack enterprise development. Whether you are new to AngularJS and Spring RESTful web services, or you are a seasoned expert, you will be able to build a full-featured web application from scratch using AngularJS and Spring RESTful web services. Full stack web development is in demand because you can explore the best of different tools and frameworks and yet make your apps solid and reliable in design, scalability, robustness, and security. This book assists you in creating your own full stack development environment that includes the powerful and revamped AngularJS, and Spring REST. The architecture of modern applications is covered to prevent the development of isolated desktop and mobile applications. By the time you reach the end of this book you will have built a full-featured dynamic app. You will start your journey by setting up a Spring Boot development environment and creating your RESTful services to perform CRUD operations. Then you will migrate the front-end tools-AngularJS and Bootstrap-into your Spring Boot application to consume RESTful services. You will secure your REST API using Spring Security and consume your secured REST API using AngularJS. What You'll Learn Build a REST application with Spring Boot Expose CRUD operations using RESTful endpoints Create a single page application by integrating Angular JS and Bootstrap in Spring Boot Secure REST APIs using Spring Security Consume secured RESTful Services using Angular JS Build a REST client using a REST template to consume RESTful services Test RESTful services using the Spring MVC Test Framework Who This Book Is For Web application developers with previous Java programming experience who want to create enterprise-grade, scalable Java apps using powerful front tools such as AngularJS and Bootstrap along with popular back-end frameworks such as Spring Boot

Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Octave, which can run MATLAB files without modification. Introduction to Octave is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Apply sample code to your engineering or science problems Work with Octave arrays, functions, and loops Use Octave's plotting functions for data visualization Solve numerical computing and computational engineering problems with Octave Who This Book Is For Engineers, scientists, researchers, and students who are new to Octave. Some prior programming experience would be helpful but not required.

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn't required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is "rocky" at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn Prepare for a career in data science Work with complex data structures in Python Simulate with Monte Carlo and Stochastic algorithms Apply linear algebra using vectors and matrices Utilize complex algorithms such as gradient descent and principal component analysis Wrangle, cleanse, visualize, and problem solve with data Use MongoDB and JSON to work with data Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.

Learning Visual Basic .NET is a complete introduction to VB.NET and object-oriented programming. By using hundreds of examples, this book demonstrates how to develop various kinds of applications--including those that work with databases--and web services. Learning Visual Basic .NET will help you build a solid foundation in .NET.

This book constitutes the proceedings of the 15th Asian Symposium on Programming Languages and Systems, APLAS 2017, held in Suzhou, China, in November 2017. The 24 papers presented in this volume were carefully reviewed and selected from 56 submissions. They were organized in topical sections named: security; heap and equivalence reasoning; concurrency and verification; domain-specific languages; semantics; and numerical reasoning. The volume also contains two invited talks in full-paper length.

This reader-friendly textbook presents a concise and easy to follow introduction to Scala. Scala is an ideal first programming language, which permits programming in multiple paradigms, and enables developers to be more productive with modern computing infrastructures such as distributed environments. Topics and features: provides review questions and problem-solving exercises (with solutions) in each chapter, inspired by real-world applications; addresses each topic in a self-contained manner, highlighting how Scala can be evolved and grown according to the developer's needs; presents examples from a broad range of different application domains, including consumer electronics, online payment, retail, vehicle manufacturing, and healthcare; encourages an innovation-oriented mind-set, and the development of practical, saleable skills; draws from the author's extensive experience in industrial software development, academic research, and university teaching. This accessible and hands-on guide will embolden professional software engineers to make the switch to Scala. Instructors teaching introductory programming courses will also find this textbook popular among their students.

Quickly access 50 tips for software test engineers using automated methods. The tips point to practices that save time and increase the accuracy and reliability of automated test techniques. Techniques that play well during demos of testing tools often are not the optimal techniques to apply on a running project. This book highlights those differences, helping you apply techniques that are repeatable and callable in professionally run software development projects. Emphasis is placed on creating tests that, while automated, are easily adapted as the software under construction evolves toward its final form. Techniques in the book are arranged into five categories: scripting, testing, the environment, running and logging of tests, and reviewing of the results. Every automation engineer sooner or later will face similar issues to the ones covered in these categories, and you will benefit from the simple and clear answers provided in this book. While the focus of the book is on the use of automated tools, the tips are not specific to any one vendor solution. The tips cover general issues that are faced no matter the specific tool, and are broadly applicable, often even to manual testing efforts. What You'll Learn Employ best-practices in automated test design Write test scripts that will easily be understood by others Choose the proper environment for running automated tests Avoid techniques that demo well, but do not scale in practice Manage tests effectively, including testing of test scripts themselves Know when to go beyond automation to employ manual methods instead Who This Book Is For Software test engineers working with automated testing tools, and for developers working alongside testing teams to create software products. The book will aid test engineers, team leads, project managers, software testers, and developers in producing quality software more easily, and in less time.

This book constitutes the refereed proceedings of the 7th International Conference on Model and Data Engineering, MEDI 2017, held in Barcelona, Spain, in October 2017. The 20 full papers and 7 short papers presented together with 2 invited talks were carefully reviewed and selected from 69 submissions. The papers are organized in topical sections on domain specific languages; systems and software assessments; modeling and formal methods; data engineering; data exploration and exp loitation; modeling heterogeneity and behavior; model-based applications; and ontology-based applications.

Quickly discover solutions to common problems, learn best practices, and understand everything wxPython has to offer. This book is for anyone wanting to learn more about how to use the wxPython desktop GUI toolkit. It assumes some prior knowledge of Python and a general understanding of wxPython or GUI development, and contains more than 50 recipes covering various tasks and aspects of the toolkit. wxPython Recipes guides you step by step. The book takes you through how to create user interfaces in Python, including adding widgets, changing background images, manipulating dialogs, managing data, and much more. Examples target both Python 2.x and 3.x, and cover both wxPython 3.0 and Phoenix, offering a complete collection of ideas to improve your GUI development. What You'll Learn Work with UI elements such as widgets, buttons, images, boxes, and more Handle data in files and notebooks Implement XML and using XML resources (XRC) Customize the behavior of panels and objects Who This Book Is For People who are already familiar with the Python programming language and also have a basic understanding of wxPython. Readers who understand event loops and the basics of creating user interfaces with another Python UI toolkit, such as Tkinter or PyQt.

This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. It builds essential programming skills for automating GIS analysis. Over 200 sample Python scripts and 175 classroom-tested exercises reinforce the learning objectives. Readers will learn to: * Write and run Python in the ArcGIS Python Window, the PythonWin IDE, and the PyScripter IDE * Work with Python syntax and data types * Call ArcToolbox tools, batch process GIS datasets, and manipulate map documents using the arcpy package * Read and modify proprietary and ASCII text GIS data * Parse HTML web pages and KML datasets * Create Web pages and fetch GIS data from Web sources. * Build user-interfaces with the native Python file dialog toolkit or the ArcGIS Script tools and PyToolboxes Python for ArcGIS is designed as a primary textbook for advanced-level students in GIS. Researchers, government specialists and professionals working in GIS will also find this book useful as a reference.

Get up to speed with Clojure in this quick and practical primer. You'll learn the nuts and bolts of functional programming, data structures, sequences, destructuring, pattern matching, polymorphism, concurrency, conventions, and more. Author Mark McDonnell talks about organization with namespaces; how to change the language via macros; object-oriented programming; and creating command-line apps. Finally, he shows you how to write Clojure from shell languages and interfaces such as Vim. After reading and using Quick Clojure, you'll come away with first-hand knowledge and advice on how to quickly adopt, use, and apply Clojure without all the theoretical baggage that bigger books can sometimes bring. What You'll Learn Work with data structures and their syntax Discover OOP in Clojure with patterns, polymorphisms, pattern matching, and concurrency Use conventions, organization, and namespaces in Clojure Create command-line apps Build various Clojure projects with the Leiningen IDE tool and framework Who This Book Is For Programmers with experience. A Java background would be helpful, but not required.

Develop modular applications using the Java Platform Module System, the single most anticipated feature in Java 9. You will improve maintainability and performance of your Java applications by deploying only modules that are needed and encapsulating their implementation details. Until now Java has been monolithic. Using any one part of Java has meant incorporating the entirety of the runtime environment, an approach ill-suited to the increasing number of IoT devices such as fitness monitors, kitchen appliances, toys and games, and so forth. This book shows a new way, to make Java scale from the smallest of footprints in the smallest of devices through desktop PCs and on up to server platforms. With Java 9 Modularity Revealed you will learn to make your projects more reliable and scalable than ever using the most important feature in Java 9-The Java Platform Module System, known more commonly as Project Jigsaw. You will learn how to avoid one of the major pain points of Java programming, that of conflicting class names from different modules, or packages. You will learn to create custom run-time images that represent a minimal and more compact JRE containing only those modules that you need. You will further learn to migrate existing Java applications to modular ones using different approaches and tools. The end result is a new ability to plug together different modules without fear of namespace and other conflicts, and you can deploy to everything from small devices to large servers. This book provides code examples and explanations. What You'll Learn Build Java applications using the new modular system introduced in Java 9 Create your own JRE consisting only of the modules that you require Adapt your testing techniques toward modular applications lare your dependencies on other modules Enable modules to export only specific packages Migrate existing Java applications to modular ones Improve maintainability and performance of Java applications Who This Book Is For Experienced Java programmers wanting to keep up and become informed on the new modularity support in Java 9

This book constitutes the proceedings of the 11th European Conference on Software Architecture, ECSA 2017, held in Canterbury, UK, in September 2017. The 9 full papers presented together with 12 short papers and one keynote talk were carefully reviewed and selected from 54 submissions. They are organized in topical sections on Software Architecture Analysis and Verification; Software Architecture Evolution; Automatic Generation; Architectural Decisions; Software Architecture Practice.

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. * 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you * Explore what's known about how humans learn and how intelligent software is built * Discover which problems machine learning can address * Understand the machine learning pipeline: the steps leading to a deliverable model * Use AutoML to automatically select the best pipeline for any problem and dataset * Master ML.NET, implement its pipeline, and apply its tasks and algorithms * Explore the mathematical foundations of machine learning * Make predictions, improve decision-making, and apply probabilistic methods * Group data via classification and clustering * Learn the fundamentals of deep learning, including neural network design * Leverage AI cloud services to build better real-world solutions faster About This Book * For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills * Includes examples of machine learning coding scenarios built using the ML.NET library

Troubleshoot the most widespread and pernicious Java performance problems using a set of open-source and freely-available tools that will make you dramatically more productive in finding the root causes of slow performance. This is a brief book that focuses on a small number of performance anti-patterns, and you'll find that most problems you encounter fit into one of these anti-patterns. The book provides a specific method in a series of steps referred to as the "P.A.t.h. Checklist" that encompasses persistence, alien systems, threads, and heap management. These steps guide you through a troubleshooting process that is repeatable, that you can apply to any performance problem in a Java application. This technique is especially helpful in 'dark' environments with little monitoring. Performance problems are not always localized to Java, but often fall into the realms of database access and server load. This book gives attention to both of these issues through examples showing how to identify repetitive SQL, and identify architecture-wide performance problems ahead of production rollout. Learn how to apply load like an expert, and determine how much load to apply to determine whether your system scales. Included are walk-throughs of a dozen server-side performance puzzles that are ready to run on your own machine. Following these examples helps you learn to: Assess the performance health of four main problems areas in a Java system: The P.A.t.h. Checklist presents each area with its own set of plug-it-in-now tools Pinpoint the code at fault for CPU and other bottlenecks without a Java profiler Find memory leaks in just minutes using heapSpank, the author's open-source leak detector utility that is freely available from heapSpank.org The repeatable method provided in this book is an antidote to lackluster average response times that are multi-second throughout the industry. This book provides a long absent, easy-to-follow, performance training regimen that will benefit anyone programming in Java. What You'll Learn Avoid the 6 most common ways to mess up a load test Determine the exact number of threads to dial into the load generator to test your system's scalability Detect the three most common SQL performance anti-patterns Measure network response times of calls to back-end systems ('alien systems') Identify whether garbage collection performance is healthy or unhealthy and whether delays are caused by problems in the old or new generation, so you know which generation needs to be adjusted Who This Book Is For Intermediate and expert Java developers and architects. Java experts will be able to update their skill set with the latest and most productive, open-source Java performance tools. Intermediate Java developers are exposed to the most common performance defects that repeatedly show up in Java applications, ones that account for the bulk of slow-performing systems. Experts and intermediates alike will benefit from the chapters on load generation.

Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.

Learn ES6 best practices for code optimization and organization and walk through practical, common examples of how to implement complete components of your applications. While this book covers the basic concepts of modern JavaScript, it primarily focuses on the new syntax, data-types, functionalities, and everything else that's new in ES6, the latest standard of JavaScript. You'll examine how to use ES6 in functional programming and explore the new more modular and object-oriented approach to JavaScript. This book will help you sharpen and upgrade your JavaScript language skills so you to easily explore modern ES6 based frameworks or libraries such as ReactJS, ReactNative, Angular4 and Vue.js. ES6 for Humans is a complete guide to writing ES6 and will enable you to start taking advantage of this exciting new version of JavaScript. What You'll Learn Use all the new features added to JavaScript Compare ES5 and ES6 in varied situations Refresh your core JavaScript fundamentals Understand the modular and object-oriented approach to JavaScript Who this Book Is For Any Javascript developer who wants to fully understand and dive into the new features of ES6/ES2015. Developers with some background in programming, preferably in JavaScript. A basic understanding of coding concepts and exposure to object-oriented programming is expected.

A Comprehensive Study of SQL - Practice and Implementation is designed as a textbook and provides a comprehensive approach to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. It demonstrates how to leverage the two most vital tools for data query and analysis - SQL and Excel - to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application. Features The book provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies It explains how to build, populate, and administer high-performance databases and develop robust SQL-based applications It also gives a solid foundation in best practices and relational theory The book offers self-contained lessons on key SQL concepts or techniques at the end of each chapter using numerous illustrations and annotated examples This book is aimed primarily at advanced undergraduates and graduates with a background in computer science and information technology. Researchers and professionals will also find this book useful.

Build clustered and scalable Java-based, real-time applications using Spring Framework, Boot, WebSocket, Cassandra, Redis and RabbitMQ. In this book, you'll tie all this together with a dive-in case study, a real-time scalable chat application under differing scenarios. Pro Java Clustering and Scalability also discusses how to horizontally scale the WebSocket chat application using a full STOMP broker such as RabbitMQ. Although this is a programming book, it also discusses many interesting infrastructure topics and tips about continuous delivery, Docker, NoSQL (Cassandra and Redis) and other related technologies. What You Will Learn Handle clustering and scalability using various open source Java, microservices, and web services tools and technologies Use Spring Framework, Boot, and other Spring technologies Integrate with Redis, RabbitMQ, Cassandra, NoSQL, and much more Test the case study code under various scenarios and stresses Who This Book Is For Experienced Java developers with at least some prior experience with Java, especially Spring Framework, Boot and other tools, and some web services.

Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then be able to use this powerful programming style in your own statistical programming projects to write flexible and extendable software. After reading Advanced Object-Oriented Programming in R, you'll come away with a practical project that you can reuse in your own analytics coding endeavors. You'll then be able to visualize your data as objects that have state and then manipulate those objects with polymorphic or generic methods. Your projects will benefit from the high degree of flexibility provided by polymorphism, where the choice of concrete method to execute depends on the type of data being manipulated. What You'll Learn Define and use classes and generic functions using R Work with the R class hierarchies Benefit from implementation reuse Handle operator overloading Apply the S4 and R6 classes Who This Book Is For Experienced programmers and for those with at least some prior experience with R programming language.

This book constitutes the refereed proceedings of the 10th International Conference on Model Transformation, ICMT 2017, held as part of STAF 2017, in Marburg, Germany, in July 2017. The 9 full papers and 2 short papers were carefully reviewed and selected from 31 submissions. The papers are organized in the following topical sections: transformation paradigms, languages, algorithms and strategies; development of transformations; and applications and case studies.