Bøger af Paul Deitel

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed.For courses in computer programming .A user-friendly, code-intensive introduction to C programming with case studies introducing applications and system 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'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 students a chance to run each program as they study it and see how their learning applies to real-world programming scenariosCurrent standards, contemporary practice, and hands-on learning opportunities are integrated throughout the 9th Edition. Over 340 new integrated Self-Check exercises with answers allow students to test their understanding of important concepts - and check their code - as they 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.This title is also available digitally as a standalone Pearson eText, or via MyLab, which includes the Pearson eText MyLab® empowers you to reach every student. This flexible digital platform combines unrivaled content, online assessments, and customizable features so you can personalize learning and improve results, one student at a time. With MyLab Programming, students work through hundreds of short, auto-graded coding exercises and receive immediate and helpful feedback based on their work. Learn more about MyLab Programming.Pearson eText is an easy-to-use digital textbook available within MyLab that lets students read, highlight, take notes, and review key vocabulary all in one place. If you're not using MyLab, students can purchase Pearson eText on their own or you can assign it as a course to schedule readings, view student usage analytics, and share your own notes with students. Learn more about Pearson eText.

Thistitle is a Pearson Global Edition. The Editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to students outside the United States. For introductory-level Python programming and/ordata-science courses. A groundbreaking, flexible approach to computer science anddata scienceThe 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.

C++20 for Programmers is an introductory-through-intermediate-level, tutorial presentation of computer programming in the latest version (C++20) of the C++ programming language, which is popular for developing systems software, embedded systems programming, operating systems, real-time systems, communications systems and other high-performance computer applications. Ideal for anyone who's worked with at least one programming language before, C++20 for Programmers utilizes a proven "early objects" approach, emphasizing program clarity, software reuse, and component-oriented software construction. In addition to the core language, it will help you take advantage of the newest standard libraries and the newest language extensions.

Appropriate for all basic-to-intermediate level courses in Visual Basic 2012 programming.Created by world-renowned programming instructors Paul and Harvey Deitel, Visual Basic 2012 How to Program, Sixth Edition introduces all facets of the Visual Basic 2012 language through a hands-on approach with hundreds of working programs. This book has been thoroughly updated to reflect the major innovations Microsoft has incorporated in Visual Basic 2012; all discussions and sample code have been carefully audited against the newest Visual Basic language specification. The Sixth Edition is updated to Visual Studio 2012 and includes new chapters on Windows 8 UI app development, Windows 8 graphics/multimedia, Windows Phone 8 app development and Windows Azure. Students begin by getting comfortable with the free Visual Basic Express 2012 IDE and basic VB 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 Deitels introduce more sophisticated techniques, including inheritance, polymorphism, exception handling, strings, GUI's, data structures, generics, and collections. Throughout, the authors show developers how to make the most of Microsofts Visual Studio tools. A series of appendices provide essential programming reference material on various topics.

For introductory-level Python programming and/or data-science courses.A groundbreaking, flexible approach to computer science and data scienceThe 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.

The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studiesWritten 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® for sentiment analysis, cognitive computing with IBM® Watson™, 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®, Spark™ and NoSQL databases, the Internet of Things and more. You'll also work directly or indirectly with cloud-based services, including Twitter, Google Translate™, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more.Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® 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®, IBM® Watson™, machine learning, deep learning, computer vision, Hadoop®, Spark™, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and moreRegister your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.

Android How to Program, Second Edition provides a clear and entertaining App-driven introduction to Android 4.3 development for both introductory- and intermediate-level programming courses. The Deitels' App-driven, Live Code Approach is simply the best way to master Android programming! The Deitels teach Android programming through ten complete, working Android Apps. Each chapter presents new concepts through a single App. The authors first discuss what the App does, show screen shots, test drive the App, and present an overview of the technologies and architecture used to build it. Next, the authors walk through building the App, presenting complete code and providing a detailed Live Code walkthrough. As part of the code walkthrough, they discuss essential programming concepts, and demonstrate the functionality of relevant Android 4.3 APIs. Readers will gain hands-on experience with a wide spectrum of essential Android APIs. The book also has an extensive introduction to programming using the Java language, making this book appropriate for Java courses that want to add an App-programming flavor. Teaching and Learning ExperienceThis program will provide a better teaching and learning experiencefor you and your students. Add an App Component to your Java Course: An extensive, optional introduction to programming using the Java language makes this book appropriate for Java courses. Motivate Students with an App-driven, Live Code Approach to Android 4.3 Development: Concepts are presented in the context of 10 complete working Android Apps, complete with syntax coloring, code walkthroughs and sample outputs.