The `Parallel` class in the `joblib.parallel` module of Python provides a convenient way to parallelize and distribute tasks across multiple processors or nodes. It allows for the execution of multiple functions or methods in parallel by spawning multiple worker processes. These processes can run on different CPUs within the same machine or on different machines in a cluster. The `Parallel` class abstracts away the complexities of managing parallel execution, allowing users to focus on defining the tasks that need to be executed. Additionally, it provides support for dynamic load balancing and inter-process communication, making it a powerful tool for speeding up computationally intensive tasks.
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