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Fundamentals of Python: Data Structures, 2nd Edition

Kenneth Lambert

  • Copyright 2019
  • {{checkPublicationMessage('Published', '2018-10-11T00:00:00+0000')}}
Starting At $77.95 See pricing and ISBN options
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Fundamentals of Python: Data Structures 2nd Edition by Kenneth Lambert
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Overview

Written for computer programming students, hobbyists or professionals, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E introduces object-oriented design and data structures using the popular Python™ programming language. The book presents a level of instruction that is ideal for readers with at least one semester of programming experience in an object-oriented language, such as Java™, C++ or Python™.

Step-by-step instruction and focused exercises clearly address the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also covers the analysis of the space/time tradeoffs of different collection implementations and, more specifically, array-based implementations and link-based implementations. This edition's thorough coverage of collections includes sets, lists, stacks, queues, trees, dictionaries and graphs. Trust FUNDAMENTALS OF PYTHON™: DATA STRUCTURES for the instruction in object-oriented design and data structures that your students need for success.

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Meet the Authors

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Kenneth Lambert

Kenneth A. Lambert is a Professor of Computer Science at Washington and Lee University. He has taught courses in almost every subject area related to computer science and has published several popular textbooks related to introductory programming and data structures in C++, Java™ and Python™. He is the co-creator of the BreezySwing framework and is the creator of the breezypythongui framework.

What's New

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  • NEW COLOR-CODING CLARIFIES PROGRAM EXAMPLES. All program examples in this edition are now color-coded to help your students quickly and easily identify the most important elements in the code.
  • NEW LEARNING OBJECTIVES DIRECT ATTENTION TO KEY POINTS. Each chapter now begins with clear Learning Objectives to provide direction and guide readers in mastering specific skills.
  • NEW FIGURES FURTHER CLARIFY CONCEPTS. New figures throughout this edition clearly illustrate concepts and enhance the reader's retention.
  • ADDITIONAL AND REVISED PROGRAMMING PROJECTS PROVIDE MEANINGFUL HANDS-ON PRACTICE, Many of this edition's programming projects are new or reworked to reflect the industry's latest developments.
  • NEW SECTIONS FOCUS ON ITERATORS AND HIGHER-ORDER FUNCTIONS. This new material is added to this edition to better prepare students to work with the full capabilities that Python™ can offer.
  • NEW MATERIAL ADDRESSES LISP-LIKE LISTS, RECURSIVE LIST PROCESSING AND FUNCTIONAL PROGRAMMING. This edition now provides a new section that explores Lisp-like lists, recursive list processing and functional programming to strengthen students' skills in working with object-oriented design and data structures.

Features

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  • COMPREHENSIVE COVERAGE EXAMINES THE DESIGN OF COLLECTION CLASSES WITH POLYMORPHISM AND INHERITANCE. Step-by-step instruction walks students through the design of collection classes with polymorphism and inheritance.
  • THE AUTHOR CLEARLY INTRODUCES MULTIPLE IMPLEMENTATIONS OF COLLECTION INTERFACES. Students gain a solid understanding of key concepts, including the multiple implementations of collection interfaces.
  • STUDENTS STUDY THE ANALYSIS OF THE SPACE/TIME TRADEOFFS OF DIFFERENT COLLECTION IMPLEMENTATIONS. This edition delves into the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations to provide the foundation students need.

Table of Contents

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1. Basic Python Programming.
2. An Overview of Collections.
3. Searching, Sorting, and Complexity Analysis.
4. Arrays and Linked Structures.
5. Interfaces, Implementations, and Polymorphism.
6. Inheritance and Abstract Classes.
7. Stacks.
8. Queues.
9. Lists.
10. Trees.
11. Sets and Dictionaries.
12. Graphs.

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Each MindTap product offers the full, mobile-ready textbook combined with superior and proven learning tools at one affordable price. Students who purchase digital access can add a print option at any time when a print option is available for their course.

This Cengage solution can be seamlessly integrated into most Learning Management Systems (Blackboard, Brightspace by D2L, Canvas, Moodle, and more) but does require a different ISBN for access codes. Please work with your Cengage Learning Consultant to ensure the proper course set up and ordering information. For additional information, please visit the LMS Integration site.

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  • ISBN-10: 0357431189
  • ISBN-13: 9780357431184
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  • ISBN-10: 0357505441
  • ISBN-13: 9780357505441
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  • ISBN-10: 0357505476
  • ISBN-13: 9780357505472
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  • ISBN-10: 0357695674
  • ISBN-13: 9780357695678
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  • ISBN-10: 0357122755
  • ISBN-13: 9780357122754
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Supplements

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Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

FOR STUDENTS

MindTap for Lambert's Fundamentals of Python: Data Structures, 2 terms Instant Access

ISBN: 9780357431184
MindTap for Lambert's Fundamentals of Python: Data Structures, 2nd Edition, is the digital learning solution that powers students from memorization to mastery. It gives you complete control of your course--to provide engaging content, to challenge every individual and to build their confidence. Empower students to accelerate their progress with MindTap. MindTap: Powered by You. MindTap gives you complete ownership of your content and learning experience. Customize the interactive syllabi, emphasize the most important topics and add your own material or notes in the ebook.

MindTapV2.0 for Lambert's Fundamentals of Python: Data Structures with 2021 Updates, 1 term Instant Access

ISBN: 9780357505441
MindTap for Fundamentals of Python: Data Structures, 2e, V2 is created for computer programming students, hobbyists or professionals, the course introduces object-oriented design and data structures using the popular Python™ programming language, a comfortable, flexible vehicle for expressing ideas about computation. The MindTap presents a level of instruction that is ideal for readers with at least one semester of programming experience in an object-oriented language, such as Java™, C++ or Python™. Step-by-step instruction with focused exercises is ideal for both beginners or experts. This course covers the four main aspects of computing: programming basics, object-oriented programming, data structures, and the software development life cycle.

MindTapV2.0 for Lambert's Fundamentals of Python: Data Structures with 2021 Updates, 2 terms Instant Access

ISBN: 9780357505472
MindTap for Fundamentals of Python: Data Structures, 2e, V2 is created for computer programming students, hobbyists or professionals, the course introduces object-oriented design and data structures using the popular Python™ programming language, a comfortable, flexible vehicle for expressing ideas about computation. The MindTap presents a level of instruction that is ideal for readers with at least one semester of programming experience in an object-oriented language, such as Java™, C++ or Python™. Step-by-step instruction with focused exercises is ideal for both beginners or experts. This course covers the four main aspects of computing: programming basics, object-oriented programming, data structures, and the software development life cycle.