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Fundamentals of Python: Data Structures (MindTap Course List)

Fundamentals of Python: Data Structures (MindTap Course List)

Fundamentals of Python: Data Structures (MindTap Course List)
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Fundamentals of Python: Data Structures (MindTap Course List) Paperback -

by Lambert, Kenneth

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Cengage Learning. 2. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Details

  • Title Fundamentals of Python: Data Structures (MindTap Course List)
  • Author Lambert, Kenneth
  • Binding Paperback
  • Edition 2
  • Condition Used - Very good
  • Pages 448
  • Volumes 1
  • Language ENG
  • Publisher Cengage Learning
  • Illustrated Yes
  • Bookseller's Inventory # 0357122755-11-1
  • ISBN 9780357122754 / 0357122755
  • Weight 1.25 lbs (0.57 kg)
  • Dimensions 9 x 7.3 x 0.7 in (22.86 x 18.54 x 1.78 cm)
  • Category Computers - General Information
  • Library of Congress subjects Programming languages (Electronic computers), Python (Computer program language)
  • Library of Congress Catalogue Number 2018956860
  • Dewey Decimal Code 005.133
  • Quantity available 1

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Reader reviews for Fundamentals of Python: Data Structures (MindTap Course List)

From the publisher

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON(TM) DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python(TM) 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(TM), C++ or Python(TM). 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(TM) DATA STRUCTURES, 2E.
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