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Streams can process large sets of data pretty efficiently, but there's a lot to learn to use them well. In this video, I give a quick overview of streams and then some details about two aspects of streams that distinguish them: lazy evaluation and parallelism. Because they use lazy evaluation, we don't compute data we don't need and parallelized streams deal with concurrency issues pretty easily. The goal is to give you reasons to learn more about streams. In this video I'll walk you through: A quick overview of Streams What lazy evaluation means and it's implications in Stream processing How to safely parallelize a Stream and the side effects that may cause TIMESTAMPS 0:00 Introduction 0:32 What is a Stream? 1:26 Lazy Initialization 2:26 Impacts of Lazy evaluation 3:38 Parallelizing a Stream 5:43 Conclusion ABOUT MY CHANNEL My channel is about good software engineering practices. We cover introductions to programming in C and Java. But I also have lots of software and computer engineering topics like PIC programming, advanced programming techniques, and things that distinguish good code from code that works. Check out my channel here: / @wizardcraftcode Don’t forget to subscribe! CHECK OUT MY OTHER VIDEOS: C Programming Playlist: • Coding in C Intro to Java Playlist: • Introduction to Java Programming based on ... Software Engineering Topics Playlist: • General Software Engineering Topics