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In today’s video, we’re diving into Stream API in Java, a core part of the Java 8 feature set that makes functional programming more accessible. With Stream API, you can work with collections and arrays in a clean, declarative style.
🚀 What You'll Learn:
1️⃣ Introduction to Stream API
Understand how streams work in Java and how they provide a powerful abstraction for data processing operations like filtering, mapping, and reducing collections.
2️⃣ Stream API Operations
Intermediate Operations: Learn about key stream operations like filter(), map(), distinct(), and sorted(), which return a new stream for further processing.
Terminal Operations: Explore operations like forEach(), collect(), reduce(), and how they terminate the stream pipeline, returning a result or side effect.
3️⃣ Method References with Stream API
Discover how to use method references within the Stream API for cleaner, more readable code. You’ll learn how method references integrate seamlessly with functional interfaces, reducing verbosity and enhancing clarity.
💡 Why Stream API and Method References Matter:
Simpler Code: Stream API lets you write clean and concise code for data processing, eliminating the need for traditional loops.
Functional Programming: Streams, combined with method references, promote a functional programming paradigm, which leads to more readable and maintainable code.
Parallel Processing: Streams can operate in parallel, making it easy to boost performance for large datasets.
🔍 Key Topics Covered:
Stream Creation: Different ways to create streams from collections, arrays, and files.
Stream Processing: Real-world use cases such as filtering a list of employees, mapping product prices, or summarizing numerical data.
Best Practices: When and how to use Stream API to optimize your code’s performance and readability.
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