Search results for "Data Structures and Algorithms in Java"
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Java Generics and Collections
Java Generics and Collections has been the go-to guide to generics for more than a decade. This second edition covers Java 21, providing a clear guide to generics from their most common uses to the strangest corner cases, giving you everything you need to know to use and write generic APIs effectively. It covers the collections library thoroughly, so you'll always know how and when to use each collection for any given task. And it explains stream processing, so you'll know which model to use and how they interoperate to get the best out of the platform library.This indispensable guide covers:Fundamentals of generics: type parameters and generic methodsSubtyping and wildcardsGenerics and reflectionDesign patterns for genericsSets, queues, lists, maps, and their implementationsConcurrent programming and thread safety with collectionsPerformance of different collection implementationsBest practices for using and extending the Java collections frameworkDesign philosophy and comparison with other collections libraries
R 1,505.00
Applied AI for Enterprise Java Development
As a Java enterprise developer or architect, you know that embracing AI isn't just optional-it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity?Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to-it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge.Inside, you'll unlock the power to:Demystify GenAI's role and impact on contemporary software developmentCraft actionable, AI-driven applications using Java's rich ecosystem of open source frameworksImplement field-tested AI patterns tailored for prod-ready, enterprise-strength applicationsAccess and integrate top-tier open source AI models with Java's Inference APIsNavigate the Java framework landscape with AI-centric agility and confidence
R 1,505.00
Beginner's Guide to Code Algorithms
Do you have creative ideas that you wish you could transform into code?Do you want to boost your problem solving and logic skills?Do you want to enhance your career by adopting an algorithmic mindset?In our increasingly digital world, coding is an essential skill. Communicating an algorithm to a machine to perform a set of tasks is vital. Beginner’s Guide to Code Algorithms: Experiments to Enhance Productivity and Solve Problems written by Deepankar Maitra teaches you how to think like a programmer. The author unravels the secret behind writing code – building a good algorithm. Algorithmic thinking leads to asking the right question and enables a shift from issue resolution to value creation. Having this mindset will make you more marketable to employers. This book takes you on a problem-solving journey to expand your mind and increase your willingness to experiment with code. You will: Learn the art of building an algorithm through hands-on exercises Understand how to develop code for inspiring productivity concepts Build a mentality of developing algorithms to solve problems Develop, test, review, and improve code through guided experimentationThis book is designed to develop a culture of logical thinking through intellectual stimulation. It will benefit students and teachers of programming, business professionals, as well as experienced users of Microsoft Excel who wish to become proficient with macros.
R 2,980.62
Beginner's Guide to Code Algorithms
Do you have creative ideas that you wish you could transform into code?Do you want to boost your problem solving and logic skills?Do you want to enhance your career by adopting an algorithmic mindset?In our increasingly digital world, coding is an essential skill. Communicating an algorithm to a machine to perform a set of tasks is vital. Beginner’s Guide to Code Algorithms: Experiments to Enhance Productivity and Solve Problems written by Deepankar Maitra teaches you how to think like a programmer. The author unravels the secret behind writing code – building a good algorithm. Algorithmic thinking leads to asking the right question and enables a shift from issue resolution to value creation. Having this mindset will make you more marketable to employers. This book takes you on a problem-solving journey to expand your mind and increase your willingness to experiment with code. You will: Learn the art of building an algorithm through hands-on exercises Understand how to develop code for inspiring productivity concepts Build a mentality of developing algorithms to solve problems Develop, test, review, and improve code through guided experimentationThis book is designed to develop a culture of logical thinking through intellectual stimulation. It will benefit students and teachers of programming, business professionals, as well as experienced users of Microsoft Excel who wish to become proficient with macros.
R 7,563.08
R 1,527.00
R 1,527.00
