Description Xamarin is a toolset that allows users to write native mobile apps in C# and run them on both iOS and Android devices. Xamarin in Action teaches readers how to build Xamarin apps on iOS and Android from scratch while maximizing code re-use. By the end, readers will be able to build a high quality production-ready Xamarin app on iOS and Android from scratch with a high level of code reuse. Key Features * Layer-by-layer guide * Hands-on lessons * Teaches you to build production ready apps Audience This book is for C# developers with a few months through many years of experience who want to build native mobile apps for iOS and Android using the language and toolset they already know. About the technology Xamarin gives users the ability to share large portions of code across two platforms while still letting them write native apps that can take full advantage of the device and OS features specific to each platform. Jim Bennett is a Xamarin MVP, Microsoft MVP, Xamarin Certified Developer and an active community member. He's also a frequent speaker at events all around the world, including Xamarin user groups and Xamarin and Microsoft conferences. He regularly blogs about Xamarin development at https://jimbobbennett.io.

Dieses Buch richtet sich an alle, die frisch in die Oracle-Administration einsteigen wollen und von der inhaltlichen Fulle anderer Bucher erschlagen werden. Es baut Schritt fur Schritt das Wissen fur die Oracle-Administration auf, ohne sich in nebensachliche Details zu verlieren. Dabei behalt dieses Buch immer den Fokus auf das Wesentliche und verzichtet darauf, bei einem Einsteiger Verwirrung zu erzeugen. Dennoch wird stets darauf geachtet, dass ein gesunder Mix zwischen dem Database- Control und der Kommandozeile gewahrt bleibt. Inhalt: Datenbank-Architektur Installation Database Control Oracle Net Grundlagen der Administration Initialisierungsparameter Datadictionary / Views Kontrolldatei Redo-Log-Dateien Tablespaces Undo-Verwaltung Verwaltung von Segmenten Verwaltung von Statistiken Speicherverwaltung Sicherheit und Benutzerverwaltung National Language Support Export und Import von Daten Einfuhrung in das Backup und Recovery Anhang: Einfuhrung in SQLPlus Einfuhrung in SQL

Written by recognized experts in their field who work with J2EE developers on a day-to-day basis, this book provides a detailed reference that can be used to design, evaluate and understand the performance of enterprise J2EE applications. The book has been developed and honed to meet the precise requirements of experienced Java architects, developers or administrators, responsible for building or maintaining such applications.

This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.

Floating-point arithmetic is the most widely used way of implementing real-number arithmetic on modern computers. However, making such an arithmetic reliable and portable, yet fast, is a very difficult task. As a result, floating-point arithmetic is far from being exploited to its full potential. This handbook aims to provide a complete overview of modern floating-point arithmetic. So that the techniques presented can be put directly into practice in actual coding or design, they are illustrated, whenever possible, by a corresponding program. The handbook is designed for programmers of numerical applications, compiler designers, programmers of floating-point algorithms, designers of arithmetic operators, and more generally, students and researchers in numerical analysis who wish to better understand a tool used in their daily work and research.

Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two disciplines means that it is all too easy for a missed minus sign to generate a false prediction that you don't spot until it's too late. Testing is the only way to be sure that your code, and your results, are correct. Testing R Code teaches you how to perform development-time testing using the testthat package, allowing you to ensure that your code works as intended. The book also teaches run-time testing using the assertive package; enabling your users to correctly run your code. After beginning with an introduction to testing in R, the book explores more advanced cases such as integrating tests into R packages; testing code that accesses databases; testing C++ code with Rcpp; and testing graphics. Each topic is explained with real-world examples, and has accompanying exercises for readers to practise their skills - only a small amount of experience with R is needed to get started!

Great programmers aren't born--they're made. The industry is moving from object-oriented languages to functional languages, and you need to commit to radical improvement. New programming languages arm you with the tools and idioms you need to refine your craft. While other language primers take you through basic installation and "Hello, World," we aim higher. Each language in Seven More Languages in Seven Weeks will take you on a step-by-step journey through the most important paradigms of our time. You'll learn seven exciting languages: Lua, Factor, Elixir, Elm, Julia, MiniKanren, and Idris. Learn from the award-winning programming series that inspired the Elixir language. Hear how other programmers across broadly different communities solve problems important enough to compel language development. Expand your perspective, and learn to solve multicore and distribution problems. In each language, you'll solve a non-trivial problem, using the techniques that make that language special. Write a fully functional game in Elm, without a single callback, that compiles to JavaScript so you can deploy it in any browser. Write a logic program in Clojure using a programming model, MiniKanren, that is as powerful as Prolog but much better at interacting with the outside world. Build a distributed program in Elixir with Lisp-style macros, rich Ruby-like syntax, and the richness of the Erlang virtual machine. Build your own object layer in Lua, a statistical program in Julia, a proof in code with Idris, and a quiz game in Factor. When you're done, you'll have written programs in five different programming paradigms that were written on three different continents. You'll have explored four languages on the leading edge, invented in the past five years, and three more radically different languages, each with something significant to teach you

This book constitutes the proceedings of the 16th Asian Symposium on Programming Languages and Systems, APLAS 2018, held in Wellington, New Zealand, in December 2018.The 22 papers presented in this volume were carefully reviewed and selected from 51 submissions. They are organized in topical sections named: types; program analysis; tools; functional programs and probabilistic programs; verification; logic; and continuation and model checking.

Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software. This book provides a comprehensive overview of Streamlit, allowing developers and programmers of all backgrounds to get up to speed in as little time as possible. Streamlit is a pure Python web framework that will bridge the skills gap and shorten development time from weeks to hours. This book walks you through the complete cycle of web application development, from an introductory to advanced level with accompanying source code and resources. You will be exposed to developing basic, intermediate, and sophisticated user interfaces and subsequently you will be acquainted with data visualization, database systems, application security, and cloud deployment in Streamlit. In a market with a surplus demand for full stack developers, this skill set could not possibly come at a better time. In one sentence, Streamlit is a means for the empowerment of developers everywhere and all stand to gain from it. What You'll Learn Mutate big data in real-time Visualize big data interactively Implement web application security and privacy protocols Deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers Who is this Book for? Developers with solid programming experience wanting to learn Streamlit; Back-end developers looking to upskill and transition to become a full-stack developers; Those who wish to learn and become more acquainted with data visualization, database systems, security and cloud deployment with Steamlit

This book constitutes the refereed proceedings of the 15th International Colloquium on Theoretical Aspects of Computing, ICTAC 2018, held in Stellenbosch, South Africa, in October 2018. The 25 revised full papers presented together with two short and two long invited talks were carefully reviewed and selected from 59 submissions. The ICTAC conference aims at bringing together researchers and practitioners from academia, industry and government to present research and exchange ideas and experience addressing challenges in both theoretical aspects of computing and the exploitation of theory through methods and tools for system development. ICTAC also specifically aims to promote research cooperation between developing and industrial countries.

The four-volume set LNCS 11244, 11245, 11246, and 11247 constitutes the refereed proceedings of the 8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018, held in Limassol, Cyprus, in October/November 2018. The papers presented were carefully reviewed and selected for inclusion in the proceedings. Each volume focusses on an individual topic with topical section headings within the volume: Part I, Modeling: Towards a unified view of modeling and programming; X-by-construction, STRESS 2018. Part II, Verification: A broader view on verification: from static to runtime and back; evaluating tools for software verification; statistical model checking; RERS 2018; doctoral symposium. Part III, Distributed Systems: rigorous engineering of collective adaptive systems; verification and validation of distributed systems; and cyber-physical systems engineering. Part IV, Industrial Practice: runtime verification from the theory to the industry practice; formal methods in industrial practice - bridging the gap; reliable smart contracts: state-of-the-art, applications, challenges and future directions; and industrial day.

This book constitutes the refereed proceedings of the 8h International Conference on Model and Data Engineering, MEDI 2018, held in Marrakesh, Morocco, in October 2018. The 23 full papers and 4 short papers presented together with 2 invited talks were carefully reviewed and selected from 86 submissions. The papers covered the recent and relevant topics in the areas of databases; ontology and model-driven engineering; data fusion, classsification and learning; communication and information technologies; safety and security; algorithms and text processing; and specification, verification and validation.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.

The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.

Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.

Read about the authors’ recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency

Table of Contents

Modern Processors

Stored-program computer architecture

General-purpose cache-based microprocessor architecture

Memory hierarchies

Multicore processors

Multithreaded processors

Vector processors

Basic Optimization Techniques for Serial Code

Scalar profiling

Common sense optimizations

Simple measures, large impact

The role of compilers

C++ optimizations

Data Access Optimization

Balance analysis and lightspeed estimates

Storage order

Case study: The Jacobi algorithm

Case study: Dense matrix transpose

Algorithm classification and access optimizations

Case study: Sparse matrix-vector multiply

Parallel Computers

Taxonomy of parallel computing paradigms

Shared-memory computers

Distributed-memory computers

Hierarchical (hybrid) systems

Networks

Basics of Parallelization

Why parallelize?

Parallelism

Parallel scalability

Shared-Memory Parallel Programming with OpenMP

Short introduction to OpenMP

Case study: OpenMP-parallel Jacobi algorithm

Advanced OpenMP: Wavefront parallelization

Efficient OpenMP Programming

Profiling OpenMP programs

Performance pitfalls

Case study: Parallel sparse matrix-vector multiply

Locality Optimizations on ccNUMA Architectures

Locality of access on ccNUMA

Case study: ccNUMA optimization of sparse MVM

Placement pitfalls

ccNUMA issues with C++

Distributed-Memory Parallel Programming with MPI

Message passing

A short introduction to MPI

Example: MPI parallelization of a Jacobi solver

Efficient MPI Programming

MPI performance tools

Communication parameters

Synchronization, serialization, contention

Reducing communication overhead

Understanding intranode point-to-point communication

Hybrid Parallelization with MPI and OpenMP

Basic MPI/OpenMP programming models

MPI taxonomy of thread interoperability

Hybrid decomposition and mapping

Potential benefits and drawbacks of hybrid programming

Appendix A: Topology and Affinity in Multicore Environments

Appendix B: Solutions to the Problems

Bibliography

Index

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided, allowing the reader to execute the scripts as they study the explanations given in the text. Features Gets you quickly using R as a problem-solving tool Uses RStudio's integrated development environment Shows how to interface R with SQLite Includes examples using R's Rattle graphical user interface Requires no prior knowledge of R, machine learning, or computer programming Offers over 50 scripts written in R, including several problem-solving templates that, with slight modification, can be used again and again Covers the most popular machine learning techniques, including ensemble-based methods and logistic regression Includes end-of-chapter exercises, many of which can be solved by modifying existing scripts Includes datasets from several areas, including business, health and medicine, and science About the Author Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato, where he taught and performed research in the Computer and Information Science Department for over 30 years.

This career guide explains the software developer role in the context of the industry, including the relevant skills and competencies you will need to become a software developer. Discussion of popular programming languages is covered, as well as tools and techniques of the trade. Career progression tips and software developer case studies round off the book, providing you with the insider knowledge you need to kick start your software development journey.

This book constitutes the proceedings of the 39th IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2019, held in Copenhagen, Denmark, in June 2019, as part of the 14th International Federated Conference on Distributed Computing Techniques, DisCoTec 2019. The 15 full and 3 short papers presented were carefully reviewed and selected from 42 submissions. The conference is dedicated to fundamental research on theory, models, tools, and applications for distributed systems.

Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developments in mobile technologies and wireless networks. The book covers advanced algorithms, embedded systems, novel mobile app architecture, and mobile cloud computing paradigms.

Divided into three sections, the book explores three major dimensions in the current mobile app development domain. The first section describes mobile app design and development skills, including a quick start on using Java to run an Android application on a real phone. It also introduces 2D graphics and UI design, as well as multimedia in Android mobile apps.

The second part of the book delves into advanced mobile app optimization, including an overview of mobile embedded systems and architecture. Data storage in Android, mobile optimization by dynamic programming, and mobile optimization by loop scheduling are also covered. The last section of the book looks at emerging technologies, including mobile cloud computing, advanced techniques using Big Data, and mobile Big Data storage.

About the Authors

Meikang Qiu is an Associate Professor of Computer Science at Pace University, and an adjunct professor at Columbia University. He is an IEEE/ACM Senior Member, as well as Chair of the IEEE STC (Special Technical Community) on Smart Computing. He is an Associate Editor of a dozen of journals including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has published 320+ peer-reviewed journal/conference papers and won 10+ Best Paper Awards.

Wenyun Dai is pursuing his PhD at Pace University. His research interests include high performance computing, mobile data privacy, resource management optimization, cloud computing, and mobile networking. His paper about mobile app privacy has been published in IEEE Transactions on Computers.

Keke Gai is pursuing his PhD at Pace University. He has published over 60 peer-reviewed journal or conference papers, and has received three IEEE Best Paper Awards. His research interests include cloud computing, cyber security, combinatorial optimization, business process modeling, enterprise architecture, and Internet computing.

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Table of Contents

Overview of Mobile Apps and Mobile Interface. Mobile Embedded System and Architecture. Introduction of Android Framework, Key Concepts, User Interface, and Multimedia Deployment. Network Management in Mobile Cloud Computing and Adaptive Resource Allocations. 2-D Graphics and Mobile Image Processing Techniques. Mobile Optimization by Dynamic Programming. Big Data and Hybrid Memory Implementations. Exploring Mobile Hardware and Software Coding Techniques. Secure Bluetooth Connection and Near Field Communication. Data Storage, data security, and advanced data protection techniques. Efficient Data Synchronization on Mobile Devices. Mobile Apps on Wearable Devices.

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Joint Conference on Software Technologies, ICSOFT 2017, held in Madrid, Spain, in July 2017. The 17 revised full papers and 24 short papers presented were carefully reviewed and selected from 85 submissions. The topics covered in the papers include: software quality and metrics; software testing and maintenance; development methods and models; systems security; dynamic software updates; systems integration; business process modelling; intelligent problem solving; multi-agent systems; and solutions involving big data, the Internet of Things and business intelligence.

Die Korrektheit eines Programms kann nur sehr selten absolut gew hrleistet werden. Man muss sich also auf Tests beschr nken, die auch so angelegt sind, dass mit gro er Wahrscheinlichkeit die Korrektheit des Programms garantiert werden kann. Dar ber hinaus kann nur in Spezialf llen genau gesagt werden, welche Werte die Korrekten sind. So kommt man also einerseits nicht umhin Tests durchzuf hren und andererseits ein Bewertungsverfahren zu entwickeln, welches uns die Resultate als korrekt, weniger korrekt oder inkorrekt bewertet.Der Autor besch ftigt sich in diesem Buch mit der Bewertung von Programmen, die die Energieeffizienz von Geb uden analysieren sollen. Hierf r hat er ein Testszenario entwickelt, welches mit den zuvor genannten Unsch rfen umgehen kann. Hintergrund sind dabei die rechtlichen Vorgaben hinsichtlich des Energieverhaltens von Geb uden.

This book constitutes the refereed proceedings of the 6th International Conference on Abstract State Machines, Alloy, B, TLA, VDM, and Z, ABZ 2016, held in Southampton, UK, in June 2018. The 20 full and 11 short papers presented in this volume were carefully reviewed and selected from 60 submissions. They record the latest research developments in state-based formal methods Abstract State Machines, Alloy, B, Circus, Event-B, TLS+, VDM and Z.

This book constitutes the refereed proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, held as part of STAF 2019, in Eindhoven, The Netherlands, in July2019. The 12 research papers and 1 tool paper presented in this book were carefully reviewed and selected from 22 submissions. The papers deal with the following topics: Theory, Analysis and Verification, Tools and Applications, and Transformation Rules Construction and Matching.

The CSS3 Quick Syntax Reference is a 150-page syntax reference to the Cascading Style Sheets language. It presents the essentials of CSS3 in a well-organized format that can be used as a handy reference. You won't find any technical jargon, bloated samples, drawn-out history lessons or witty stories in this book. What you will find is a CSS reference that is concise, to the point, and highly accessible. The book is packed with useful information and is a must-have for any CSS programmer or web developer. What You Will Learn Use the various selectors available in CSS3 Leverage various other CSS properties Design and build web UIs using color, text, spacing, fonts, background, and more Work with lists, tables, and media in CSS3 Employ CSS3 best practices Who This Book Is For Experienced programmers and web developers new to CSS3 or even new to CSS in general.

This book constitutes the proceedings of the 24th International Working Conference on Requirements Engineering - Foundation for Software Quality, REFSQ 2018, held in Utrecht, The Netherlands, in March 2018. The 23 full and 2 invited talks papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers were organized in topical sections named: RE in Industrial Practice; NLP in Theory and Practice; Empirical Insights into Traceability; Taming Ambiguity; Large-Scale RE; Quality Requirements; User and Job Stories; Requirements Alignment; RE Previews and Visions; Big Data; Mindmapping and Requirements Modeling.

Gain the basics of Ruby's map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex programs in 10 lines of Ruby code, an astonishingly small number. You will walk through problems and solutions which are effective because they use map, reduce, and select. As you read Ruby Data Processing, type in the code, run the code, and ponder the results. Tweak the code to test the code and see how the results change. After reading this book, you will have a deeper understanding of how to break data-processing problems into processing stages, each of which is understandable, debuggable, and composable, and how to combine the stages to solve your data-processing problem. As a result, your Ruby coding will become more efficient and your programs will be more elegant and robust. What You Will Learn Discover Ruby data processing and how to do it using the map, reduce, and select functions Develop complex solutions including debugging, randomizing, sorting, grouping, and more Reverse engineer complex data-processing solutions Who This Book Is For Those who have at least some prior experience programming in Ruby and who have a background and interest in data analysis and processing using Ruby.

This book constitutes the refereed post-conference proceedings of the 4th International Workshop on Accelerator Programming Using Directives, WACCPD 2017, held in Denver, CO, USA, in November 2017. The 9 full papers presented have been carefully reviewed and selected from 14 submissions. The papers share knowledge and experiences to program emerging complex parallel computing systems. They are organized in the following three sections: applications; environments; and program evaluation.