John Canning - Data Structures & Algorithms in Python (Developers Library)
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John Canning
Alan Broder
Robert Lafore
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Library of Congress Control Number: 2022910068
Copyright 2023 Pearson Education, Inc.
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ISBN-13: 978-0-13-485568-4
ISBN-10: 0-13-485568-X
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To my mother, who gave me a thirst for knowledge, to my father, who taught me the joys of engineering, and to June, who made it possible to pursue both.
John Canning
For my father Sol Broder, a computer science pioneer, who inspired me to follow in his footsteps.
To my mother Marilyn Broder, for showing me the satisfaction of teaching others.
To Fran, for making my life complete.
Alan Broder
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From John Canning and Alan Broder
Robert Lafores Java-based version of this book has been a mainstay in Data Structures courses and professionals reference shelves around the world for many years. When Alans Data Structures course at Stern College for Women of Yeshiva University moved on to Python, the inability to use Lafores book in the course was a real loss. Were thus especially happy to bring this new and revised edition to the world of Python programmers and students.
Wed like to thank the many students at Stern who contributed to this book either directly or indirectly over the past several years. Initial Python versions of Lafores Java implementations were central to Alans Python-based courses, and Stern student feedback helped improve the codes clarity, enhanced its performance, and sometimes even identified and fixed bugs!
For their valuable feedback and recommendations on early drafts of this new edition, we are grateful to many students in Alans Data Structures courses, including Estee Brooks, Adina Bruce, Julia Chase, Hanna Fischer, Limor Kohanim, Elisheva Kohn, Shira Orlian, Shira Pahmer, Jennie Peled, Alexandra Roffe, Avigail Royzenberg, Batia Segal, Penina Waghalter, and Esther Werblowsky. Our apologies if weve omitted anyones name.
An open-source package of data structure visualizations is available to enhance your study of this book, and Stern students played an active role in the development of the visualization software. John and Alan extend many thanks to the Stern student pioneers and leaders of this project, including Ilana Radinsky, Elana Apfelbaum, Ayliana Teitelbaum, and Lily Polonetsky, as well as the following past and present Stern student contributors: Zoe Abboudi, Ayelet Aharon, Lara Amar, Natania Birnbaum, Adina Bruce, Chani Dubin, Sarah Engel, Sarah Graff, Avigayil Helman, Michal Kaufman, Sarina Kofman, Rachel Leiser, Talia Leitner, Shani Lewis, Rina Melincoff, Atara Neugroschl, Shira Pahmer, Miriam Rabinovich, Etta Rapp, Shira Sassoon, Mazal Schoenwald, Shira Schneider, Shira Smith, Riva Tropp, Alexandra Volchek, and Esther Werblowsky. Our apologies if we have left anyone off this list.
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