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  <titleInfo>
    <title>Java for programmers</title>
    <subTitle>with generative AI</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Deitel, Paul</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Deitel, Harvey</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Hoboken</placeTerm>
    </place>
    <publisher>Pearson</publisher>
    <dateIssued>2025</dateIssued>
    <edition>5th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>1063 p.</extent>
  </physicalDescription>
  <abstract>The professional programmer's Deitel℗ʼ 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 Exercises ChatGPT, Gemini, Claude, Perplexity Multimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, Video Generics: Collections, Classes, Methods Functional Programming.</abstract>
  <note type="statement of responsibility">Paul Deitel and Harvey Deitel</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>JAVA</topic>
  </subject>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <classification authority="ddc">T 005.133 DEI-J</classification>
  <identifier type="isbn">9780137574735</identifier>
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    <recordCreationDate encoding="marc">260210</recordCreationDate>
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