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R 977.00

Java for Programmers
The professional programmer's Deitel® guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI ExercisesChatGPT, Gemini, Claude, PerplexityMultimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, VideoGenerics: Collections, Classes, MethodsFunctional Programming: Lambdas & StreamsJavaFX: GUI, Graphics, MultimediaConcurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-CoreDatabase: JDBC, SQL, SQLiteJava Platform Module System (JPMS)Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web ServicesJShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at deitel@deitel.comJoin the Deitel social media communitiesdeitel.com/linkedinfacebook.com/DeitelFaninstagram.com/DeitelFanx.com/deitelyoutube.com/DeitelTVmastodon.social/@deitelFor source code and updates, visit: deitel.com/javafp5 Reviewer Comments"The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the r
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R 458.00

Developer's Guide to AI
A practical, accessible guide that shows working software developers how to integrate real AI features into the applications they already build—using JavaScript, Python, APIs, and modern cloud services, without needing a data-science background.Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer’s Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know—JavaScript, Python, APIs, vector search, and simple agent workflows—without advanced math or machine learning.Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last.
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