Task-returning method indicates an asynchronously produced (deferred/delayed) result, a promise. If a language hides this fact (that the returned value needs to be awaited), it is grossly misdesigned - at most it can offer not blocking a thread, completely missing the point and leaving 20 years of improvements other programming languages have on the table.
But it's not as bad, yet instead in many other languages you are forced to manually schedule and then block/join until all of your tasks/promises/goroutines finish. Not in C#, that makes it as easy as it gets, which you can see in my example.
On top of that, you always pay for concurrency in Go, even when you don't use it, it is by definition always "colored" which further contributes to the overhead.
Also, in my example, the tasks will run in parallel. They won't in Go.
Very hard disagree. This depends on your computing philosophy. Go was designed based on the principles of CSP in mind and that code is produced by humans for humans first. The CSP architecture has proven to work and fit well for high-concurrent middleware.
You are not forced to block until goroutines finish as you claim. You can do other work or yield to the go scheduler. All the necessary busy work is taken care of by the runtime - which is terrific for folks who don't want to fiddle with low level details.
> On top of that, you always pay for concurrency in Go, even when you don't use it, it is by definition always "colored" which further contributes to the overhead.
And that is a completely fair compromise. Supporting easy concurrency natively in the runtime was an excellent design tradeoff since the computing world is moving to more and more cores. There are fewer and fewer uses for non-concurrent software.
What would the Go code look like that achieves identical behavior to the example above (tasks are dispatched concurrently and executed in parallel)?
The simplicity of this approach and the advantages this brings to code structuring and easy refactoring simply cannot be understated.