Through Deitel & Associates, Inc., he has delivered hundreds of programming courses worldwide to clients, including Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, SunGard Higher Education, Nortel Networks, Puma, iRobot, Invensys and many more. Floor Division and True Division. A fantastic job providing background on various machine learning concepts without burdening the users with too many mathematical details. Chapters 8 and 9 introduce several of these new features. ", "I like the new combination of topics from computer science, data science, and stats. e-Matter Deitel & Associates, Inc., is partnering with Prentice Hall's parent company, Pearson PLC, and its information technology Web site, www.InformIT.com , to launch the Deitel e-Matter series at www.InformIT.com/deitel . The Table of Contents entries are "hot," so clicking a chapter name takes you immediately to that chapter. We include a full-chapter treatment of PSP (Python Server Pages) where we re-engineer the message forum case study presented in Chapter 16. I loved the California housing data example—very relevant for business analytics. The exercises in this chapter will give students insight into how changing the structure of neural networks and the amount of training/testing data affect performance. I like the real-world examples of data munging. We work in almost every major programming language. Reviewed in the United States on October 18, 2016, Reviewed in the United States on July 26, 2002. Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, ©2020 To see a visual view of the unique Table of Contents, download the PDF. Course Management System features include course customization (such as posting contact information, policies, syllabi, announcements, assignments, grades, performance evaluations and progress tracking), class and student management tools, a gradebook, reporting tools, communication tools (such as chat rooms), a whiteboard, document sharing, bulletin boards and more. A comprehensive overview of object-oriented programming in Python—the use of card image graphics is sure to engage the reader.” —Garrett Dancik, Eastern Connecticut State University “Covers some of the most modern Python syntax approaches and introduces community standards for style and documentation. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Furthermore, when you enter a term using the "find" feature, the Cyber Classroom will locate occurrences of that term throughout the text. Intro to Python for Computer Science and Data Science 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. They are really practical. But to sell volume 2 of a two-volume book without explicitely stating it is bad business. ", "I like the discussion of exceptions and tracebacks. Even considering the price of the book, I think it's quite valuable, because it explains the basics of so many topics in a manner that makes sense. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. The data science portion distinguishes this book from most other introductory Python books. Designed to help students not only learn programming fundamentals but also leverage the large number of existing libraries to start accomplishing tasks with minimal code. In this exciting, innovative new textbook, you’ll learn hands-on with today’s most compelling, leading-edge computing technologies—and, as you’ll see, with an easily tunable mix of computer science and data science appropriate for introductory courses in those and related disciplines. Concepts are accompanied by rich Python examples that readers can adapt to implement their own solutions to data science problems. The material is presented in digestible sections accompanied by engaging interactive examples. Focus of the Book Our goal was clear: Produce a Python textbook for introductory-level university courses in computer programming aimed at students with little or no programming experience, yet offer the depth and the rigorous treatment of theory and practice demanded by both professionals and students in traditional, upper-level programming courses. Nested Scopes. The team at Deitel & Associates develops programming language textbooks and e-Learning materials. I look forward to seeing the textbook in use by instructors, students, and aspiring data scientists very soon. 9780135224335_Deitel_Python_for_Programmers_Cover.indd 2 2/12/19 10:38 AM I can see readers feeling really excited about playing with the animations.” —Elizabeth Wickes, Lecturer, School of Information Sciences, University of Illinois at Urbana-Champaign, “An engaging, highly accessible book that will foster curiosity and motivate beginning data scientists to develop essential foundations in Python programming, statistics, data manipulation, working with APIs, data visualization, machine learning, cloud computing, and more. We present a substantial example that inherits from built-in type list to implement a programmer-defined list that contains only unique elements. Objectives Each chapter begins with objectives that inform students of what to expect and give them an opportunity, after reading the chapter, to determine whether they have met the intended goals. Very clear and engaging coverage of recursion, searching, sorting, and especially Big Oâseveral âAhaâ moments. 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. Sharpe, De Veaux & Velleman Python for Programmers: with Introductory AI Case Studies, C How to Program. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Good defensive programming. This is important for building data science programs that are more than just cobbling together math and computer science courses. Live in fragments no longer. Ullman & Widom According to the reviews, the book is full of color illustrations and has a nice layout. The world is evolving towards XML (eXtensible Markup Language). The 13-digit and 10-digit formats both work. Python 2.2 introduces a new operator (//) for "floor" (integer) division. The first version produces the next value in the sequence indefinitely; the second produces all the sequence values up through and including a user-defined nth value. Intro to Python for Computer Science and Data Science: Learning to Program with Ai, Big Data and the Cloud by Paul Deitel – eBook Details. The material is presented in digestible sections accompanied by engaging interactive examples. We suggest downloading all the examples, then running each program as you read the corresponding text. In Chapter 8, we discuss the methods that a programmer-defined class can overload to define behavior for operators, including the new // operator. We demonstrate pygame by designing a CD player, a movie player and a space-cruiser game. If you are new to programming and would like to try out different things to see what you might like, such as web programming, XML, designing windows (lowercase 'w') that will work on a variety of platforms, databases, sockets, etc., you may find that this book provides material you would otherwise look through a literal stack of books to find. Machine Learning is a huge topic, and the chapter serves as a great introduction. Course Management Systems: WebCT, Blackboard, and CourseCompass We are working with Prentice Hall to integrate our How to Program Series courseware into three Course Management Systems: WebCT, Blackboard and CourseCompass. Deitel & Deitel At some point, we will insist on three-dimensional, moving-image transmission. Developers often quickly discover that they like Python. (143.7MB), Test Bank (Download only) for Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud This resource is loaded with e-learning features that are ideal for both education and reference. All examples are available on the book's CD or free for download at www.deitel.com . Reviewed in the United Kingdom on November 1, 2012. ISBN-10: 0135404673 One of our studentsa mathematics majortold us that she feels this approach is like the highlighting of axioms, theorems and corollaries in mathematics books; it provides a foundation on which to build good software. The authoritative DEITEL ™ LIVE-CODE ™ introduction to Python programming. To get the free app, enter your mobile phone number. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Students should be encouraged to attempt all the self-review exercises and check their answers. (0.1MB), Download Source Code (application/zip) There have been predictions that the Internet will eventually replace radio and television as we know them today. We also introduce a dictionary method, new to 2.2, that enables programs to use if/in statements to test whether a dictionary contains a particular key. The new iterator mechanism in Python 2.2 enables the language to provide a significant performance enhancement over previous versions and improves software design by allowing programmers to separate iteration behavior from random-access behavior. 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. He and his father, Dr. Harvey M. Deitel, are the world's best-selling Computer Science textbook authors. The Cyber Classroom also provides navigational aids, including extensive hyperlinking.
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