apress jan 2020 (9 resultados)

Taschenbuch. Condición: Neu. Neuware -Get up and running fast with the basics of programming using Java as an example language. This short book gets you thinking like a programmer in an easy and entertaining way. Modern Programming Made Easy teaches you basic coding principles, including working with lists, sets, arrays, and maps; coding in the object-oriented style; and writing a web application.This book is largely language agnostic, but mainly covers the latest appropriate and relevant release of Java, with some updated references to Groovy, Scala, and JavaScript to give you a broad range of examples to consider. You will get a taste of what modern programming has to offer and set yourself up for further study and growth in your chosen language.What You'll LearnWrite code using the functional programming styleBuild your code using the latest releases of Java, Groovy, and moreTest your codeRead and write from filesDesign user interfaces Deploy your app in the cloudWho This Book Is ForAnyone who wants to learn how to code. Whether you're a student, a teacher, looking for a career change, or just a hobbyist, this book is made for you.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 212 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -Study elementary and complex algorithms with clear examples and implementations in C. This book introduces data types (simple and structured) and algorithms with graphical and textual explanations. In the next sections, yoüll cover simple and complex standard algorithms with their flowcharts: everything is integrated with explanations and tables to give a step-by-step evolution of the algorithms.The main algorithms are: the sum of three or n numbers in a loop, decimal-to-binary conversion, maximum and minimum search, linear/sequential search, binary search, bubble sort, selection sort, merging of two sorted arrays, reading characters from a file, stack management, and factorial and Fibonacci sequences.The last section of Introducing Algorithms in C is devoted to the introduction of the C language and the implementation of the code, which is connected to the studied algorithms. The book is full of screenshots and illustrations showingthe meaning of the code.What You Will LearnImplement algorithms in CWork with variables, constants, and primitive and structured typesUse arrays, stacks, queues, graphs, trees, hash tables, records, and filesExplore the design of algorithmsSolve searching problems, including binary search, sorting, and bubble/selection sortProgram recursive algorithms with factorial functions and Fibonacci sequencesWho This Book Is ForPrimarily beginners: it can serve as a starting point for anyone who is beginning the study of computer science and information systems for the first time.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 160 pp. Englisch.

Taschenbuch. Condición: Neu. Neuware -Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times¿a huge leap forward in byte-addressable capacity compared with current DRAM offerings.This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data.Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system andhardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included.What Yoüll LearnUnderstand what persistent memory is, what it does, and the value it brings to the industryBecome familiar with the operating system and hardware requirements to use persistent memoryKnow the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistenceLook at persistent memory application development by example using the Persistent MemoryDevelopment Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debuggingWho This Book Is ForC, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 472 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Get up and running fast with the basics of programming using Java as an example language. This short book gets you thinking like a programmer in an easy and entertaining way.Modern Programming Made Easyteaches you basic coding principles, including working with lists, sets, arrays, and maps; coding in the object-oriented style; and writing a web application.This book is largely language agnostic, but mainly covers the latest appropriate and relevant release of Java, with some updated references to Groovy, Scala, and JavaScript to give you a broad range of examples to consider. You will get a taste of what modern programming has to offer and set yourself up for further study and growth in your chosen language.What You'll Learn Write code using the functional programming style Build your code using the latest releases of Java, Groovy, and more Test your code Read and write from files Design user interfaces Deploy your app in the cloud Who This Book Is ForAnyone who wants to learn how to code. Whether you're a student, a teacher, looking for a career change, or just a hobbyist, this book is made for you. 212 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters.You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways.What You'll LearnReview the new features of TensorFlow 2.0Use TensorFlow 2.0 to build machine learning and deep learning modelsPerform sequence predictions using TensorFlow 2.0Deploy TensorFlow 2.0 models with practical examplesWho This Book Is ForData scientists, machine and deep learning engineers. 180 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Study elementary and complex algorithms with clear examples and implementations in C. This book introduces data types (simple and structured) and algorithms with graphical and textual explanations. In the next sections, you'll cover simple and complex standard algorithms with their flowcharts: everything is integrated with explanations and tables to give a step-by-step evolution of the algorithms.The main algorithms are: the sum of three or n numbers in a loop, decimal-to-binary conversion, maximum and minimum search, linear/sequential search, binary search, bubble sort, selection sort, merging of two sorted arrays, reading characters from a file, stack management, and factorial and Fibonacci sequences.The last section of Introducing Algorithms in C is devoted to the introduction of the C language and the implementation of the code, which is connected to the studied algorithms. The book is full of screenshots and illustrations showing the meaning of the code.What You Will Learn Implement algorithms in C Work with variables, constants, and primitive and structured types Use arrays, stacks, queues, graphs, trees, hash tables, records, and files Explore the design of algorithms Solve searching problems, including binary search, sorting, and bubble/selection sort Program recursive algorithms with factorial functions and Fibonacci sequences Who This Book Is ForPrimarily beginners: it can serve as a starting point for anyone who is beginning the study of computer science and information systems for the first time. 160 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times-a huge leap forward in byte-addressable capacity compared with current DRAM offerings.This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included.What You'll LearnUnderstand what persistent memory is, what it does, and the value it brings to the industryBecome familiar with the operating system and hardware requirements to use persistent memoryKnow the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistenceLook at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debuggingWho This Book Is ForC, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc. 472 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability.What You Will LearnFind specific areas in code to target for performance gainsIdentify pain points quickly and understand why they are problematicRewrite legacy T-SQL to reduce or eliminate hidden performance issuesWrite modern code with an awareness of readability and maintainabilityRecognize and correlate T-SQL anti-patterns with techniques for better solutionsMake a positive impact on application user experience in your organizationWho This Book Is ForDatabase administrators or developers who maintain older code, those frustrated with complaints about slow codewhen there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization 236 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 180 pp. Englisch.