Concurrency vs. Parallelism

Concurrency vs. Parallelism

In this lesson — part of Concurrency Basics — you'll learn concurrency vs. parallelism in Go and why it matters in real work.

Why it matters

Modern programs wait on networks and disks — async lets them stay responsive.

Key ideas

• Blocking vs. non-blocking
• Callbacks, promises, async/await
• Concurrency vs. parallelism
• Error handling in async code

In practice

Here's how it looks in idiomatic Go:

package main

import "fmt"

func main() {
	result := make(chan int)
	go func() { result <- 6 * 7 }() // launch a goroutine
	fmt.Println(<-result)           // receive blocks until ready
}

Go note: Go's async model is goroutines plus channels: go starts lightweight concurrent work and <-ch blocks until a value arrives.

Try it yourself

Exercise: In Go, fetch two things concurrently and combine the results.

Recap

You now understand concurrency vs. parallelism and can apply it in Go. Mark this lesson complete and continue to the next one.