What is the difference between concurrency and parallelism in Go?

What is the difference between concurrency and parallelism in Go?

Concurrency is about dealing with many tasks at once, while parallelism is about doing many tasks at the same time. In Go, concurrency is achieved using goroutines, which allow multiple functions to run independently, while parallelism can be achieved by running those goroutines on multiple CPU cores.

Can you give me an example of concurrency in Go?

Sure! Here's a simple example: you can use goroutines to fetch data from multiple URLs concurrently. Each fetch operation runs in its own goroutine, allowing them to operate independently.

How does Go handle parallelism?

Go uses the Go runtime to manage goroutines and can automatically distribute them across available CPU cores, enabling parallel execution.

Are there any specific use cases where concurrency is preferred over parallelism?

Yes, concurrency is preferred in scenarios where tasks are I/O bound, such as handling multiple network requests, as it allows for better resource utilization without the overhead of parallel execution.