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This book is based upon the book Data Structures and Algorithms in Java by Goodrich and Tamassia, and the related Data Structures and Algorithms in C++ by Goodrich, Tamassia, and Mount. However, this book is not simply a translation of those other books to Python. In adapting the material for this book, we have significantly redesigned the organization and content of the book as follows: • The code base has been entirely redesigned to take advantage of the features of Python, such as use of generators for iterating elements of a collection. • Many algorithms that were presented as pseudo-code in the Java and C++ versions are directly presented as complete Python code. • In general, ADTs are defined to have consistent interface with Python’s built- in data types and those in Python’s collections module. • Chapter 5 provides an in-depth exploration of the dynamic array-based un- derpinnings of Python’s built-in list, tuple, and str classes. New Appendix A serves as an additional reference regarding the functionality of the str class. • Over 450 illustrations have been created or revised. • New and revised exercises bring the overall total number to 750.