Fundamentals of Python,
2nd Edition

Kenneth Lambert

Fundamentals of Python
ISBN-13: 9780357122754
Copyright 2019 | Published
448 pages | List Price: USD $250.95

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python™ programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java™, C++ or Python™. Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also addresses the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations. You learn to work with collections, including sets, lists, stacks, queues, trees, dictionaries and graphs. Prepare for success with FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E.

Purchase Enquiry INSTRUCTOR’S eREVIEW COPY

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.

  • 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.

  • 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.

  • 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.

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