Object-Oriented Programming in Python - Tapa blanda

For introductory courses in object-oriented programming using Python. With its straightforward syntax and more consistent semantics, Python is developing a solid following among instructors of basic programming. This text presents a balanced and flexible approach to the incorporation of object-oriented principles in introductory courses using Python, providing a solid framework for the development of computer software. Supplements Include: For Instructors: Power Point Lecture Slides and Solutions Manual For Students: Source Code for Examples in text, and Custom CS1 Software to accompany the text. Please go to www.prenhall.com/goldwasser To view downloadable files, click on the Resources tab above.

Object-Oriented Programming in PYTHON

Goldwasser

Letscher

Python's simple syntax, consistent semantics, and wide popularity make it an exceptionally attractive instructional language for new programmers. This text embraces Python's object-oriented nature, presenting a balanced and flexible approach to mastering object-oriented principles, and building a solid framework for advanced programming in Python and other languages.

Drawing on their highly successful CS1 course at Saint Louis University, the authors begin with core concepts every programmer must master, including data types, objects, control structures, I/O, user-defined classes, inheritance, and good software development practices. Next, students gain far deeper mastery, learning crucial techniques ranging from recursion to data structures. The authors conclude by introducing event-driven and network programming - two "advanced" topics that become surprisingly approachable with Python.

• Strong fundamentals coverage: Helps readers achieve immediate success, while building a strong foundation for further study
• Flexible organization: Enables instructors to reorder, emphasize, or deemphasize topics as needed
• Provides early "object awareness" and helps students master key object-oriented principles naturally and gradually
• Presents real-world case studies from domains such as animation, biology, physics, and the Internet
• Includes an exclusive, simple graphics library that helps students grasp basic concepts and explore more advanced topics such as transformations and layers
• Contains a convenient guide for transitioning from Python to Java™ or C++

About the Authors

Dr. Michael H. Goldwasser is Associate Professor and Dr. David Letscher is Assistant Professor at Saint Louis University. Dr. Goldwasser was previously on the Faculty at Loyola University Chicago where he was Undergraduate Program Director for Computer Science. He has also taught courses at Colorado College, Princeton University, and Stanford University. He holds a Ph.D. in Computer Science from Stanford University. Dr. Letscher served as Assistant Professor at Oklahoma State University, Visting Researcher at American Institute of Mathematics, Assistant Professor at University of California, San Diego, and Visiting Research Fellow at the University of Melbourne. He holds a Ph.D. in Mathematics from the University of Michigan.