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basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it;
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Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data;
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Java Programming: Program Design Including Data Structures is intended for a two-semester CS1/CS2 sequence in Java, beginning with core;
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Examine the techniques and Java tools supporting the growing field of data science About This Book * Your entry ticket to the world of data;
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structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are;
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for data analysis with Java and make sense of your data through effective visualizations. * Use various Java APIs and tools such as;
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allow you expand your application for big data or data science applications and more. You'll also learn some of the IDEs advanced features;
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is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro. What You Will;
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create useful object-oriented codes * Extensive use of Java compliant big data tools like apache spark, Hadoop, etc. Who This Book Is For;
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techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools;
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This book is designed for the way we learn and intended for one-semester course in Data Structures through Java. This is a very useful;
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For freshman-, sophomore-, or junior-level courses in Computer Science, Data Structures, and Algorithms in the departments of Computer;
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A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler;
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. This book covers cryptographic programming in Java. Java 1.1 and Java 1.2 provide extensive support for cryptography with an elegant;
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Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;
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Data Structures and Abstractions with Java is suitable for one- or two-semester courses in data structures (CS-2) in the departments;
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B-trees for project building and graph. It incorporates Java 5.0 including the use of scanner class and generic data types (generics).
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This edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and;
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The updated and revised Object-Oriented Data Structures Using Java, Fourth Edition is an essential resource for students learning data;
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ZipOutputStream for automatically compressing data? Do you know how to use buffered streams effectively to make your I/O operations more efficient? Java I;
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explores in detail Java 2 collection classes, helping programmers choose the best collection classes for each application they work on. Watt and;
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Finally, a CS2 Java book that your students will love! Dr. Malik's definitive Java text for CS2 students is easy-to-read and student;
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