Want to start programming but don't know where to start? Don't worry! With a radically different approach to programming, author Francis Glassborow demystifies programming concepts, and shows you how to create real applications with C++. Working with computing novice Roberta Allen he teaches you the basic elements of programming and will have you writing programs from the first chapter.

Introduction to Computer Programming with Visual Basic 6: A Problem-Solving Approach is written for students with little or no programming experience. This comprehensive text equips students with the skills necessary to develop computer applications in any language by helping them develop a framework for creating programs. Each chapter illustrates the application of this framework from Step 1 (Analysis) to Step 6 (Completing the Documentation) through a programming case study. The authors emphasize the program development life cycle and fundamental programming concepts such as data types, loops, decisions, and arrays. FEATURES To further highlight the authors' emphasis on programming concepts instead of GUI elements, a limited number of program controls are used in the examples. To provide greater flexibility to instructors, more GUI elements are included in Appendix A, "Visual Basic User Interface Objects." The preface and the Instructor's Resource Manual provide teaching tips on how to incorporate the controls presented in Appendix A in lab exercises or projects Object-Event Diagrams are introduced in Chapter 1 to help students understand the importance of events Two chapters on database programming (Chapter 10 and 11) offer students the skills needed to develop more robust database applications Chapter 12 is devoted to fundamental object-oriented programming concepts and techniques for developing object-oriented programs in Visual Basic to reinforce this new standard for developing software The authors offer outstanding pedagogical aids such as common examples that build on previous concepts, a multitude of end-of-chapter short answer and programming exercises, and plenty of programming projects

For courses in Python programming. A clear and student-friendly introduction to the fundamentals of Python In Starting Out with Python, 4th Edition, Tony Gaddis' accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices. With the knowledge acquired using Python, students gain confidence in their skills and learn to recognise the logic behind developing high-quality programs. Starting Out with Python discusses control structures, functions, arrays, and pointers before objects and classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, focused explanations, and an abundance of exercises appear in every chapter. Updates to the 4th Edition include revised, improved problems throughout, and new Turtle Graphics sections that provide flexibility as assignable, optional material.

Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.

This book aims to capture the fundamentals of computer programming without tying the topic to any specific programming language. To the best of the authors’ knowledge there is no such book in the market.

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.