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Mastering Concurrency in Go
Gain insights into implementing concurrency in Go, explore common patterns, and learn to write efficient, practical applications leveraging Go's outstanding support for concurrency.
4.7
35 Lessons
6h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
Introduction to Concurrency
Introduction to Concurrency
Get familiar with concurrency concepts, including data races, deadlocks, CSP, and resource management.
2.
Building Blocks of Concurrency in Go
Building Blocks of Concurrency in Go
Grasp the fundamentals of concurrency in Go with goroutines, channels, sync methods, and practical exercises.
Introduction to GoroutinesGoroutines: Explained FurtherChannelsBuffered ChannelsExercise: Merge SortSolution Review: Merge SortSelect StatementExercise: Buzz GameSolution Review: Buzz GameWaitGroupsExercise: Multiplication TableSolution Review: Multiplication TableMutexThe 'sync' PackageThe 'runtime' PackagePrefix Sum Problem : A Concurrent ApproachQuiz on Building Blocks of Concurrency
3.
Basic Concurrency Patterns in Go
Basic Concurrency Patterns in Go
11 Lessons
11 Lessons
Master the steps to implement efficient concurrency patterns in Go using channels and goroutines.
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ABOUT THIS COURSE
Mastering concurrency can make you a much more in-demand developer on the job market. It's becoming an increasingly important concept in modern programming as multi-core devices become more and more prevalent.
The good news is that Go has some outstanding support for concurrency out of the box that makes implementation a breeze. In fact, concurrency in Go is easier to implement and faster than in any other major language.
In this course, you'll start off with a general introduction to concurrency and build up to more advanced concepts and implementation in Go. You'll also have a chance to go through some common patterns that will make your life easier and your code more efficient. By the time you're done, you'll be able to make use of Go to write efficient, practical applications that use concurrency.
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