With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.
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The course was really good. Got to learn so much about parallel programming with that course. The explanation level is very basic and any Computer Science related person can easily grasp the concepts
Very good. Only things I wish were better is more comments in some assignments and more prepared tests. Also I miss not having "Statement of Accomplishment" like some other Scala courses :-(.
The course is fairly advanced and you would need to review the materials many times to understand the concept. The assignments are definitely fun and not as straightforward as other courses.
I really learned to think of parallelism in different ways. My only issue was that a lot of the exercises required good spatial skills which are not my strength. Somehow though I passed.
關於 Functional Programming in Scala 專項課程
Discover how to write elegant code that works the first time it is run.