Explain the use of Go's runtime reflection and introspection techniques for introspecting and manipulating the runtime behavior and information of Go programs for various purposes and scenarios?
Go's concurrent programming techniques and parallel programming techniques are related but different.
Concurrent programming in Go involves the use of goroutines and channels to execute multiple tasks concurrently within a single program. Goroutines are lightweight threads that are managed by the Go runtime, and channels provide a way for goroutines to communicate and synchronize their actions. Concurrent programming in Go allows for efficient use of system resources, as multiple tasks can be executed concurrently without blocking the main program.
On the other hand, parallel programming in Go involves the use of multiple threads or processes to execute multiple tasks in parallel on different processors or cores. Parallel programming in Go can be achieved using the Go standard library's "sync" package, which provides synchronization primitives such as mutexes, condition variables, and wait groups, as well as the "runtime" package, which provides low-level control over goroutines and system threads.
In summary, concurrent programming in Go focuses on efficiently executing multiple tasks within a single program, while parallel programming in Go focuses on utilizing multiple processors or cores to speed up program execution.