How does Groovy handle concurrency and parallelism? Discuss the techniques and libraries available for concurrent programming in Groovy.

In Groovy, concurrency and parallelism can be achieved using various techniques and libraries that provide support for concurrent programming. Let's explore how Groovy handles concurrency and parallelism and discuss some of the techniques and libraries available. 1. Threads and Synchronization: Groovy, like Java, provides support for creating and managing threads using the `Thread` class or implementing the `Runnable` interface. With threads, you can execute tasks concurrently and leverage multi-core processors. Groovy also supports synchronization mechanisms such as synchronized blocks and methods to ensure thread safety and prevent data races. 2. Executors and Thread Pools: Groovy provides the `ExecutorService` interface and related classes, similar to Java's `java.util.concurrent` package. These classes allow you to manage thread pools and execute tasks concurrently. By using thread pools, you can control the number of threads, reuse threads, and efficiently manage resources. Groovy's `Executo....