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Campesato O. Data Structures in Java 2023 [PDF] [English]
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Campesato O. Data Structures in Java 2023 [PDF] [English]

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Info:
  • Title: Data Structures in Java
    Pages: 451
    Author: Campesato, Oswald;
    Year: 2017
    Subjects:
    Category: Data Structure and Algorithms, Java Computer Programming, Data Modeling & Design
    Publisher: ‎ Sams Publishing; 2nd edition
    ISBN: ‎ B075F9H5G1

Description:
Quote:Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.

Educational Supplement
Suggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at

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, in the Instructor Resource Center.

Files:
Campesato O. Data Science Fundamentals Pocket Primer 2021.pdf (5.72 MB)

Campesato O. Data Structures in Java 2023.pdf (10.81 MB)

Campesato O. Data Wrangling Using Pandas, SQL, and Java 2022.pdf (13.03 MB)

Campesato O. Java for Developers. Pocket Primer 2022.pdf (12.47 MB)

Campesato O. Managing Datasets and Models 2023.pdf (9.38 MB)

Campesato O. Natural Language Processing Fundamentals for Developers 2021.pdf (21.09 MB)

Campesato O. Natural Language Processing...for Developers 2021.pdf (5.57 MB)

Campesato O. Python Data Structures. Pocket Primer 2023.pdf (4.46 MB)

Campesato O. Python for Programmers 2022.pdf (8.99 MB)

Campesato O. Python Tools for Data Scientists. Pocket Primer 2022.pdf (9.62 MB)

Campesato O. SQL Pocket Primer 2022.pdf (20.44 MB)

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