Dive into the world of functional programming with our comprehensive course on Java Streams and Lambda Expressions. This course is designed to transform your approach to Java programming by introducing you to the Streams API, a powerful tool for processing data in a functional style. You'll explore the core concepts of streams, including terminal methods and the principle of laziness, which allow for efficient data processing. Our lessons will guide you through the intricacies of Lambda expressions, covering syntax variations and their application within functional interfaces. You'll gain hands-on experience with method references and learn to implement functional programming techniques to supply, filter, map, consume, and sort data. The course also delves into advanced topics like decomposition, reduction, and the use of collectors for grouping and partitioning. Additionally, you'll explore the use of parallel streams to process collections concurrently, leveraging parallel computing hardware for enhanced performance. By the end of this course, you'll be equipped with the skills to write more efficient, scalable, and modern Java code.

Java SE 17 Developer (1Z0-829): Unit 5
本课程是 Java SE 17 Developer (1Z0-829) 专项课程 的一部分


位教师:Pearson
访问权限由 New York State Department of Labor 提供
您将学到什么
Master the Streams API for efficient data processing using terminal methods and laziness.
Implement Lambda expressions and method references within functional interfaces.
Utilize collectors for advanced data grouping, partitioning, and reduction.
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该课程共有1个模块
This module addresses the exam topic grouping working with streams and lambda expressions. The two subtopics in this grouping are used Java object and primitive streams, including lambda expressions implementing functional interfaces to supply, filter, map, consume and sort data, perform decomposition, concatenation and reduction, and grouping and partitioning on sequential and parallel streams. While on the subject of concurrency, we'll also address one of the three objectives under the grouping managing concurrent code execution. That objective is process Java collections concurrently, including the use of parallel streams.
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