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Data Structures and Abstractions with Java - Latest Computer Science Textbook | Learn Java Programming for Software Development & Coding Projects
Data Structures and Abstractions with Java - Latest Computer Science Textbook | Learn Java Programming for Software Development & Coding Projects

Data Structures and Abstractions with Java - Latest Computer Science Textbook | Learn Java Programming for Software Development & Coding Projects

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Description

A relatable and friendly introduction to data structures and their implementationThe 5th Edition of Data Structures and Abstractions with Java introduces readers to data structures (CS-2) in a supportive, reader-friendly way. The book’s organization, sequencing, and pace of topic coverage make teaching and learning easier by:Focusing the reader’s attention on one concept at a timeProviding flexibility in the order in which one can cover topicsClearly separating the specification of each abstract data type (ADT) from its implementationPlacing relevant coverage of Java into Java Interludes, which you can use as needed.To increase readability and learning potential, the numbered segments and modular presentation provide a flexible, customizable pathway through the material and focus the reader’s attention on one concept at a time. Numerous examples that mimic real-world situations provide a context for the new material and help to make it easier for audiences to learn and retain abstract concepts. The 5th Edition has a revamped structure and additional pedagogical tools to assist in mastering concepts.

Reviews

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- Verified Buyer
I'm about half way through this textbook and it's further than I've gotten in any of the other oft recommended data structures textbooks. Which, in my opinion, is a great endorsement of this textbook's style and content.This book bridges the gap nicely from a second semester Java course into the higher level data structures and algorithms classes. You need to have a firm grasp of Java OOP principles, (things like inheritance, generics, and interfaces) but you don't need to be a master of these topics.This book also includes a gentle introduction to big-O analysis and sets the stage for thoughtful data structure design and usage with care for security and what seems like robust programming practices. Where other books may include sloppy and/or dangerous style, this author's coding style is one that I'm happy to emulate at least for the remainder of the book.I will say that this book is not a comprehensive algorithm textbook but as far as nailing down the theory and design of abstract data types and data structures, I feel invigorated by the examples and practice problems in this book. I'm glad my class requires this text and I look forward to furthering my study with the other more revered Algorithms books once I've become a little more mature in my baseline understanding, which this book seems to be solidifying nicely.