Introduction to Computing and Programming in Python (4版)

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【原文書】 書名：Introduction to Computing and Programming in Python 4/e Global Edition 作者：Guzdial 出版社：PEARSON 出版日期：2016/06/00 ISBN：9781292109862 Table of Contents 1 Introduction to Computer Science and Media Computation 2 Introduction to Programming 3 Creating and Modifying Text 4 Modifying Pictures Using Loops 5 Picture Techniques with Selection 6 Modifying Pixels by Position 7 Modifying Sounds Using Loops 8 Modifying Samples in a Range 9 Making Sounds by Combining Pieces 10 Building Bigger Programs 11 Manipulating Text with Methods and Files 12 Advanced Text Techniques: Web and Information 13 Making Text for the Web 14 Creating and Modifying Movie6 15 Speed 16 Functional Programming 17 Object Oriented Programming

INTRODUCTION TO PYTHON PROGRAMMING (Taiwan Edition / 含Access Code, 刮除不受退) (1版)

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【簡介】 Hallmark Features Bring programming to life with dynamic content designed for the way today's students read, think, and learn * Interactives and videos interwoven throughout the content enable students to practice essential coding skills in context. Thanks to this media-rich presentation of content, students come to class better prepared and ready to develop problem-solving skills through programming fundamentals. - VideoNotes are narrated step-by-step video tutorials that show how to solve problems completely, from design through coding (available on the companion website). - Listings step students through the code line-by-line, showing and explaining what is happening in the program. - Algorithm Animations show how an algorithm work visually and interactively (available on the companion website). - Notes, Tips, and Key Points offer insight and valuable advice on important aspects of programming. A fundamentals-first approach and clear framework foster understanding of key concepts * Teaches programming in a problem-driven way that focuses on problem solving rather than syntax using a fundamentals-first and problem-driven strategy, moving students at a steady pace through all the necessary and important basic concepts and techniques on selections, loops, functions, before writing custom classes. * Basic programming concepts are explained by examples from many different areas—math, science, business, finance, gaming, animation, and multimedia—and are supported by a variety of interactive learning activities to keep students engaged. * Step-by-step presentation guides students in learning all essential subjects in Python incrementally from fundamental programming techniques to object-oriented programming, from simple functions to STL. -- -- This new edition is completely revised in every detail to enhance clarity, presentation, content, examples, and exercises. The major improvements are as follows: * Section 1.2 is updated to include cloud storage and touchscreens. * Section 3.14 introduces the new Python 3.10 match-case statements to simplify coding for multiple cases. * F-strings are covered in Chapter 4 to provide a concise syntax to format strings for output. * Statistics functions are covered in Chapter 7 to enable students to write simple code for common statistics tasks. * Sections 14.4, 14.6 are split into multiple subsections to improve the presentation of the contents. * This edition provides many new examples and exercises to motivate and stimulate student interest in programming. * Additional exercises not printed in the book are available to adopting instructors. 【目錄】 1. Introduction to Computers, Programs, and Python 2. Elementary Programming 3. Selections 4. Mathematical Functions, Strings, and Objects 5. Loops 6. Functions 7. Lists 8. Multidimensional Lists 9. Objects and Classes 10. Basic GUI Programming Using Tkinter 11. Advanced GUI Programming Using Tkinter 12. Inheritance and Polymorphism 13. Files and Exception Handling 14. Tuples, Sets, and Dictionaries 15. Recursion Appendix A. Python Keywords Appendix B. The ASCII Character Set Appendix C. Number Systems Appendix D. Command Line Arguments Appendix E. Regular Expressions Appendix F. Bitwise Operations Appendix G. The Big-O, Big-Omega, and Big-Theta Notations Appendix H. Operator Precedence Chart Symbol Index Supplemental Material Glossary

An Introduction to Python Programming for Scientists and Engineers 2023

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Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. ＂Try This!＂ exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering. Table of Contents Part I. Getting Basic Tasks Done: 1. Prologue: Preparing to Program 2. Python as a Basic Calculator 3. Python as a Scientific Calculator 4. Basic Line and Scatter Plots 5. Customized Line and Scatter Plots 6. Basic Diagnostic Data Analysis 7. Two-Dimensional Diagnostic Data Analysis 8. Basic Prognostic Modeling 9. Reading In and Writing Out Text Data 10. Managing Files, Directories, and Programs Part II. Doing More Complex Tasks: 11. Segue: How to Write Programs 12. n-Dimensional Diagnostic Data Analysis 13. Basic Image Processing 14. Contour Plots and Animation 15. Handling Missing Data Part III. Advanced Programming Concepts: 16. More Data and Execution Structures 17. Classes and Inheritance 18. More Ways of Storing Information in Files 19. Basic Searching and Sorting 20. Recursion Part IV. Going From a Program Working to Working Well 21. Make it Usable to Others: Documentation and Sphinx 22. Make it Fast: Performance 23. Make it Correct: Linting and Unit Testing 24. Make it Manageable: Version Control and Build Management 25. Make it Talk to Other Languages.