The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further study. Java How to Program, Late Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics.

The professional programmer's Deitel (R) guide to C++20 Written for programmers with a background in another high-level language, in this book, you'll learn Modern C++ development hands on using C++20 and its "Big Four" features--Ranges, Concepts, Modules and Coroutines. (For more details, see the Preface, and the table of contents diagram inside the front cover.) In the context of 200+, hands-on, real-world code examples, you'll quickly master Modern C++ coding idioms using popular compilers--Visual C++ (R), GNU (R) g++, Apple (R) Xcode (R) and LLVM (R)/Clang. After the C++ fundamentals quick start, you'll move on to C++ standard library containers array and vector; functional-style programming with C++20 Ranges and Views; strings, files and regular expressions; object-oriented programming with classes, inheritance, runtime polymorphism and static polymorphism; operator overloading, copy/move semantics, RAII and smart pointers; exceptions and a look forward to C++23 Contracts; standard library containers, iterators and algorithms; templates, C++20 Concepts and metaprogramming; C++20 Modules and large-scale development; and concurrency, parallelism, the C++17 and C++20 parallel standard library algorithms and C++20 Coroutines. Features Rich coverage of C++20's "Big Four": Ranges, Concepts, Modules and Coroutines Objects-Natural Approach: Use standard libraries and open-source libraries to build significant applications with minimal code Hundreds of real-world, live-code examples Modern C++: C++20, 17, 14, 11 and a look to C++23 Compilers: Visual C++ (R), GNU (R) g++, Apple Xcode (R) Clang, LLVM (R)/Clang Docker: GNU (R) GCC, LLVM (R)/Clang Fundamentals: Control statements, functions, strings, references, pointers, files, exceptions Object-oriented programming: Classes, objects, inheritance, runtime and static polymorphism, operator overloading, copy/move semantics, RAII, smart pointers Functional-style programming: C++20 Ranges and Views, lambda expressions Generic programming: Templates, C++20 Concepts and metaprogramming C++20 Modules: Large-Scale Development Concurrent programming: Concurrency, multithreading, parallel algorithms, C++20 Coroutines, coroutines support libraries, C++23 executors Future: A look forward to Contracts, range-based parallel algorithms, standard library coroutine support and more "C++20 for Programmers builds up an intuition for modern C++ that every programmer should have in the current software engineering ecosystem. The unique and brilliant ordering in which the Deitels present the material jibes much more naturally with the demands of modern, production-grade programming environments. I strongly recommend this book for anyone who needs to get up to speed on C++, particularly in professional programming environments where the idioms and patterns of modern C++ can be indecipherable without the carefully crafted guidance that this book provides." --Dr. Daisy Hollman, ISO C++ Standards Committee Member "This is a fine book that covers a surprising amount of the very large language that is C++20. An in-depth treatment of C++ for a reader familiar with how things work in other programming languages." --Arthur O'Dwyer, C++ trainer, Chair of CppCon's Back to Basics track, author of several accepted C++17/20/23 proposals and the book Mastering the C++17 STL "Forget about callback functions, bare pointers and proprietary multithreading libraries--C++20 is about standard concurrency features, generic lambda expressions, metaprogramming, tighter type-safety and the long-awaited concepts, which are all demonstrated in this book. Functional programming is explained clearly with plenty of illustrative code listings. The excellent chapter, 'Parallel Algorithms and Concurrency: A High-Level View,' is a highlight of this book." --Danny Kalev, Ph.D. and Certified System Analyst and Software Engineer, Former ISO C++ Standards Committee Member 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.

For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.

A groundbreaking, flexible approach to computer science anddata science The Deitels' Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science. The book's modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they'd like, and data-science instructorscan integrate as much or as little Python as they'd like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

This print textbook is available for you to rent for your classes. The Pearson print rental program provides you with affordable access to learning materials, so you go to class ready to succeed. C How to Program is a user-friendly, code-intensive introduction to C programming with case studies introducing applications and system programming. Like other texts of the Deitels' How to Program series, the book's modular presentation serves as a detailed beginner source of information for college students looking to embark on a career in coding, or instructors and software-development professionals seeking to learn how to program with C. The signature Deitel live-code approach presents concepts in the context of 142 full-working programs rather than incomplete snips of code. This gives you a chance to run each program as you study it and see how your learning applies to real-world programming scenarios. Current standards, contemporary practice, and hands-on learning opportunities are integrated throughout the 9th Edition. Over 340 new integrated Self-Check exercises with answers allow you to test your understanding of important concepts - and check your code - as you read. New and enhanced case studies and exercises use real-world data and focus on the latest ACM/IEEE computing curricula recommendations, highlighting security, data science, ethics, privacy, and performance concepts.

For all basic-to-intermediate level courses in Visual C# programming. An informative, engaging, challenging and entertaining introduction to Visual C# Created by world-renowned programming instructors Paul and Harvey Deitel, Visual C# How to Program, 6th Edition introduces students to the world of desktop, mobile and web app development with Microsoft's (R) Visual C# (R) programming language. Students will use the .NET platform and the Visual Studio (R) Integrated Development Environment to write, test, and debug applications and run them on a wide variety of Windows (R) devices. At the heart of the book is the Deitel signature live-code approach-rather than using code snippets, the authors present concepts in the context of complete working programs followed by sample executions. Students begin by getting comfortable with the Visual Studio Community edition IDE and basic C# syntax. Next, they build their skills one step at a time, mastering control structures, classes, objects, methods, variables, arrays, and the core techniques of object-oriented programming. With this strong foundation in place, the authors introduce more sophisticated techniques, including searching, sorting, data structures, generics, and collections. Additional practice is provided through a broad range of example programs and exercises selected from computer science, business, education, social issues, personal utilities, sports, mathematics, puzzles, simulation, game playing, graphics, multimedia and many other areas.

For courses in Java programming The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further study. Java How to Program, Early Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics.

The professional programmer's Deitel (R) guide to Python (R) with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today's most compelling, leading-edge computing technologies and programming in Python--one of the world's most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you'll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you'll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter (R) for sentiment analysis, cognitive computing with IBM (R) Watson (TM), supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop (R), Spark (TM) and NoSQL databases, the Internet of Things and more. You'll also work directly or indirectly with cloud-based services, including Twitter, Google Translate (TM), IBM Watson, Microsoft (R) Azure (R), OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter (R) Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter (R), IBM (R) Watson (TM), machine learning, deep learning, computer vision, Hadoop (R), Spark (TM), NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn (R), Keras and more Register your product to gain access to updated chapters and material, as well as downloads, future updates, and/or corrections as they become available. See inside book for more information.

For courses in computer programming C How to Program is a comprehensive introduction to programming in C. Like other texts of the Deitels' How to Program series, the book serves as a detailed beginner source of information for college students looking to embark on a career in coding, or instructors and software-development professionals seeking to learn how to program with C. The 8th Edition continues the tradition of the signature Deitel "Live Code" approach--presenting concepts in the context of full-working programs rather than incomplete snips of code. This gives students a chance to run each program as they study it and see how their learning applies to real world programming scenarios.