Java How To Program An Objects Natural Approach 12 E
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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 Exercises ChatGPT, Gemini, Claude, Perplexity Multimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, Video Generics: Collections, Classes, Methods Functional Programming: Lambdas & Streams JavaFX: GUI, Graphics, Multimedia Concurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-Core Database: JDBC, SQL, SQLite Java Platform Module System (JPMS) Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web Services JShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at [email protected] Join the Deitel social media communities deitel.com/linkedin facebook.com/DeitelFan instagram.com/DeitelFan x.com/deitel youtube.com/DeitelTV mastodon.social/@deitel For 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 reinvention of an already outstanding Java book by bringing it into a new frontier of what it means to be a programmer in today's world. Bravo! Your Preface statement: 'GenAI has created an ultra-high-level programming capability that will leverage your Java learning experience and ability to produce robust, top-quality Java software quickly, conveniently and economically.' is a great conclusion to the Preface intro--really helps justify the use of genAI!" --Brian Canada, Professor of Computational Science, University of South Carolina Beaufort "After reading your whole book, it was fun to read the Preface that wraps everything up at a high level. You have done some amazing work here, and I'm glad to have been a small part of it as a reviewer! I especially appreciate how difficult it must have been to make sure everything was as up to date as possible with the speed at which things change in this field, and the deftness with which you incorporated all the focus on GenAI and data science that's in this book." --Emily Navarro, Ph.D., Continuing Lecturer, Department of Informatics, University of California, Irvine "The generative AI exercises are awesome and reflect the way modern developers work! They are fun and let the reader explore and learn about AI by using AI--how meta. This allows readers to expand their knowledge and get a feel for the AIs' code-related capabilities." --Jeanne Boyarsky, CodeRanch, Java Champion Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. (Note: eBooks are 4-color and print books are black and white.)
Types for Proofs and Programs
These proceedings contain a selection of refereed papers presented at or - lated to the Annual Workshop of the TYPES project (EU coordination action 510996), which was held during March 26–29, 2008 in Turin, Italy. The topic of this workshop, and of all previous workshops of the same project, was f- mal reasoning and computer programming based on type theory: languages and computerized tools for reasoning, and applications in several domains such as analysis of programming languages, certi?ed software, mobile code, formali- tion of mathematics, mathematics education. The workshop was attended by more than 100 researchers and included more than 40 presentations. We also had three invited lectures, from A. Asperti (University of Bologna), G. Dowek (LIX, Ecole polytechnique, France) and J. W. Klop (Vrije Universiteit, A- terdam, The Netherlands). From 27 submitted papers, 19 were selected after a reviewing process. Each submitted paper was reviewed by three referees; the ?nal decisions were made by the editors. This workshop is the last of a series of meetings of the TYPES working group funded by the European Union (IST project 29001, ESPRIT Working Group 21900, ESPRIT BRA 6435).
Logic for Programming, Artificial Intelligence, and Reasoning
This book constitutes the refereed proceedings of the 10th International Conference on Logic Programming, Artificial Intelligence, and Reasoning, LPAR 2003, held in Almaty, Kazakhstan in September 2003. The 27 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 65 submissions. The papers address all current issues in logic programming, automated reasoning, and AI logics in particular description logics, proof theory, logic calculi, formal verification, model theory, game theory, automata, proof search, constraint systems, model checking, and proof construction.