Bücher veröffentlicht von Manning Publications

"R in Action" is the first book to present both the R system and the use cases that make it such a compelling package for business developers.

KEY SELLING POINTS Practical hands-on guide Quickly develop Spring applications Author insights based on years of Spring Development Covers newest features of Spring Boot AUDIENCE Written for readers familiar with the Spring Framework.

Inside AI tours every leading technique of AI and machine learning, showing you how they work, and how you can incorporate them into your business. Accessible, non-technical language and real-world use cases help you develop a practical AI literacy so you can start using these tools to their full potential.

AI-Powered Developer: Build great software with ChatGPT and Copilot shows you how to put AI coding tools like Github Copilot and ChatGPT into action. This practical book helps you develop an instinct for AI code and an understanding of what problems AI can and can't solve. You'll soon be confident in your transition to this new way to build software, aided by your diligent team of AI assistants.

Classic Game Programming on the NES will show you how to turn your ideas into reality. You don't need any game development experience or specialist programming skills. You don't need a team of developers and graphic artists. This one-stop guide teaches you everything you need to know, step-by-step.

The Complete Obsolete Guide to Generative AI is a lighthearted look at programming with AI, as well as a rock-solid resource for getting the best out of these insanely powerful services. Let it be your guide to creating images and presentations, working with data feeds, prompt engineering, and much more.

Elliptic Curve Cryptography (ECC) is the powerful security protocol used for everything from credit card transitions to the blockchain. This reader-friendly book guides you step-by-step until you're ready to write embedded systems code with advanced mathematical algorithms.

A friendly, fully-illustrated introduction to the most important computer programming algorithms. Suitable for self-taught programmers, engineers, job seekers, or anyone who wants to brush up on algorithms.

Object-Oriented Software Design in C++ is packed with 'before' program examples that show what not to do, followed by 'after' versions built with the benefits of good design. You'll learn how to gather and analyze requirements so you're building exactly what your client is looking for, discover how to utilize iterative development to backtrack mistakes, and revise your code to be as good as it can be.

Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization.In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with artificial intelligence. In Inside AI you’ll learn how to: Gain insight into diverse AI techniques and methodologies Learn from both successful and failed AI applications Identify the capabilities and limitations of AI systems Understand successful and failed uses of AI in business See where human cognition still exceeds AI Bust common myths like AI’s threat to jobs and civilization Manage AI projects effectively Inside AI takes you on a journey through artificial intelligence, from AI’s origins in traditional expert systems all the way to deep learning and Large Language Models. There’s no hype here—you’ll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. Foreword by Raymond Kendall. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can—and can’t—achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside Insights from successful and failed AI applications A survey of AI techniques and methodologies Bust common AI myths Manage AI projects effectively About the reader For anyone seeking grounded insights into AI’s capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence 2 AI mastery: Essential techniques, Part 1 3 AI mastery: Essential techniques, Part 2 4 Smart agent technology 5 Generative AI and large language models 6 Human vs. machine 7 AI doesn’t turn data into intelligence 8 AI doesn’t threaten our jobs 9 Technological singularity is absurd 10 Learning from successful and failed applications of AI 11 Next-generation AI A Tracing the roots: From mechanical calculators to digital dreams B Algorithms and programming languages

SummaryRevised and updated for Elixir 1.7, Elixir in Action, Second Edition teaches you how to apply Elixir to practical problems associated with scalability, fault tolerance, and high availability. Along the way, you''ll develop an appreciation for, and considerable skill in, a functional and concurrent style of programming.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyWhen you''re building mission-critical software, fault tolerance matters. The Elixir programming language delivers fast, reliable applications, whether you''re building a large-scale distributed system, a set of backend services, or a simple web app. And Elixir''s elegant syntax and functional programming mindset make your software easy to write, read, and maintain.About the BookElixir in Action, Second Edition teaches you how to build production-quality distributed applications using the Elixir programming language. Author Saša Jurić introduces this powerful language using examples that highlight the benefits of Elixir''s functional and concurrent programming. You''ll discover how the OTP framework can radically reduce tedious low-level coding tasks. You''ll also explore practical approaches to concurrency as you learn to distribute a production system over multiple machines. What''s insideUpdated for Elixir 1.7Functional and concurrent programmingIntroduction to distributed system designCreating deployable releasesAbout the ReaderYou''ll need intermediate skills with client/server applications and a language like Java, C#, or Ruby. No previous experience with Elixir required.About the AuthorSaša Jurić is a developer with extensive experience using Elixir and Erlang in complex server-side systems.Table of ContentsFirst stepsBuilding blocksControl flowData abstractionsConcurrency primitivesGeneric server processesBuilding a concurrent systemFault-tolerance basicsIsolating error effectsBeyond GenServerWorking with componentsBuilding a distributed systemRunning the system

Haskell Bookcamp builds your skills with production-quality Haskell code by creating interesting projects. As you work through each application, you will master Haskell basics and functional programming and dip into the language's advanced features. Haskell's abstract concepts can be confusing--so you will learn them from the ground up with real-world examples rather than tedious academic exercises. Learn how to structure real-world applications, work with the Haskell toolchain effectively and what to look out for when writing critical sections in the programme's logic. Best of all, each project in this book is fully extensible and customisable, so you can keep tinkering with your favourites! About the reader For readers who know how to program in an object-orientated language.

Master Java persistence using the industry-leading tools Spring Data and Hibernate.In Java Persistence with Spring Data and Hibernate you will learn: Mapping persistent classes, value types, and inheritance Mapping collections and entity associations Processing transactions with Spring Data and Hibernate Creating fetch plans, strategies, and profiles Filtering data Building Spring Data REST projects Using Java persistence with non-relational databases Querying JPA with QueryDSL Testing Java persistence applications Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA, and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. By comparing and contrasting the alternatives, you’ll find it easy to choose the right tool choice for your applications. You’ll learn how to make and utilize mapping strategies, about the different approach to transactions for both Hibernate and Spring Data, and even how to efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases. Forewords by Dmitry Aleksandrov and Mohamed Taman. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Effectively managing application data is essential for any serious application. Spring Data and Hibernate bridge the gap between object-oriented code and relational data stores, radically simplifying Java persistence. By implementing the Java Persistence API (JPA) standard, these powerful tools help you avoid common bugs related to state and application data storage. About the book Java Persistence with Spring Data and Hibernate explores Java persistence using industry-standard tools. Hands-on examples introduce object-relational mapping and guide you through different mapping strategies to suit your needs. Covering transactions, persistent application testing, and non-relational databases, this book is your go-to resource for managing data in Java applications. What's inside Mapping persistent classes, value types, and inheritance Creating fetch plans, strategies, and profiles Building Spring Data REST projects Querying JPA with QueryDSL About the reader For intermediate Java programmers. About the author Catalin Tudose has more than 20 years of experience in the Java community. Christian Bauer, Gavin King, and Gary Gregory are the authors of Java Persistence with Hibernate, Second Edition, on which this book is based. Table of Contents PART 1 - GETTING STARTED WITH ORM 1 Understanding object/relational persistence 2 Starting a project 3 Domain models and metadata 4 Working with Spring Data JPA PART 2 - MAPPING STRATEGIES 5 Mapping persistent classes 6 Mapping value types 7 Mapping inheritance 8 Mapping collections and entity associations 9 Advanced entity association mappings PART 3 - TRANSACTIONAL DATA PROCESSING 10 Managing data 11 Transactions and concurrency 12 Fetch plans, strategies, and profiles 13 Filtering data PART 4 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING 14 Integrating JPA and Hibernate with Spring 15 Working with Spring Data JDBC 16 Working with Spring Data REST PART 5 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING 17 Working with Spring Data MongoDB 18 Working with Hibernate OGM PART 6 - WRITING QUERIES AND TESTING JAVA PERSISTENCE APPLICATIONS 19 Querying JPA with Querydsl 20 Testing Java persistence applications

Create bulletproof, high-performance web apps and servers with Rust.In Rust Web Development you will learn:Handling the borrow checker in an asynchronous environmentCreating web APIs and using JSON in RustGraceful error handlingTesting, tracing, logging, and debuggingDeploying Rust applicationsEfficient database accessRust Web Development is a hands-on guide to building server-based web applications with Rust. If youve built web servers using Java, C#, or PHP, youll instantly fall in love with the performance and development experience Rust delivers. This book shows you how to work efficiently using pure Rust, along with important Rust libraries such as tokio for async runtimes, warp for web servers and APIs, and reqwest to run external HTTP requests.

Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer inside the GÇ£black boxGÇ¥ to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. YouGÇÖll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. YouGÇÖll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, youGÇÖll be glad you can quickly identify and fix problems.

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to using the Python-based Tensorflow Probability framework, and set up Bayesian neural networks that can state their uncertainties. Key Features· The maximum likelihood principle that underlies deep learning applications· Probabilistic DL models that can indicate the range of possible outcomes· Bayesian deep learning that allows for the uncertainty occurring in real-world situations· Applying probabilistic principles to variational auto-encoders Aimed at a reader experienced with developing machine learning or deep learning applications. About the technology Probabilistic deep learning models are better suited to dealing with the noise and uncertainty of real world data ?a crucial factor for self-driving cars, scientific results, financial industries, and other accuracy-critical applications. Oliver Dürr is professor for data science at the University of Applied Sciences in Konstanz, Germany. Beate Sick holds a chair for applied statistics at ZHAW, and works as a researcher and lecturer at the University of Zurich, and as a lecturer at ETH Zurich. Elvis Murina is a research assistant, responsible for the extensive exercises that accompany this book. Dürr and Sick are both experts in machine learning and statistics. They have supervised numerous bachelors, masters, and PhD the seson the topic of deep learning, and planned and conducted several postgraduate and masters-level deep learning courses. All three authors have been working with deep learning methods since 2013 and have extensive experience in both teaching the topic and developing probabilistic deep learning models.

KEY FEATURES Hands on examples Tutorial for a new programming language Teaches how to build Android applications Written by core developers of Kotlin AUDIENCE This book is for experienced Java developers.

SummaryKafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort.Foreword by Neha Narkhede, Cocreator of Apache KafkaPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyNot all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application.About the BookKafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you''ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You''ll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What''s insideUsing the KStreams APIFiltering, transforming, and splitting dataWorking with the Processor APIIntegrating with external systemsAbout the ReaderAssumes some experience with distributed systems. No knowledge of Kafka or streaming applications required.About the AuthorBill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience.Table of ContentsPART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka StreamsKafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka StreamsStreams and stateThe KTable APIThe Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performanceTesting a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXESAppendix A - Additional configuration informationAppendix B - Exactly once semantics

SummaryFunctional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyWell-written code is easier to test and reuse, simpler to parallelize, and less error prone. Mastering the functional style of programming can help you tackle the demands of modern apps and will lead to simpler expression of complex program logic, graceful error handling, and elegant concurrency. C++ supports FP with templates, lambdas, and other core language features, along with many parts of the STL.About the BookFunctional Programming in C++ helps you unleash the functional side of your brain, as you gain a powerful new perspective on C++ coding. You''ll discover dozens of examples, diagrams, and illustrations that break down the functional concepts you can apply in C++, including lazy evaluation, function objects and invokables, algebraic data types, and more. As you read, you''ll match FP techniques with practical scenarios where they offer the most benefit.What''s insideWriting safer code with no performance penaltiesExplicitly handling errors through the type systemExtending C++ with new control structuresComposing tasks with DSLsAbout the ReaderWritten for developers with two or more years of experience coding in C++.About the AuthorIvan Čukić is a core developer at KDE and has been coding in C++ since 1998. He teaches modern C++ and functional programming at the Faculty of Mathematics at the University of Belgrade.Table of ContentsIntroduction to functional programmingGetting started with functional programmingFunction objectsCreating new functions from the old onesPurity: Avoiding mutable stateLazy evaluationRangesFunctional data structuresAlgebraic data types and pattern matchingMonadsTemplate metaprogrammingFunctional design for concurrent systemsTesting and debugging

Key features: * Clear introduction * Completely up-to-date * Hands-on experience The book is aimed at readers who know programming but for whom the Python language is new