What are the differences between Joblib and Multiprocessing?

What are the main differences between Joblib and Multiprocessing?

Joblib is designed for lightweight pipelining and is more efficient for tasks involving large data, while Multiprocessing is a more general-purpose library for parallel execution.

Can you give examples of when to use Joblib over Multiprocessing?

Use Joblib for tasks like parallelizing loops with large data arrays, while Multiprocessing is better for CPU-bound tasks that require more control.

Are there any performance benchmarks comparing the two?

Yes, benchmarks often show Joblib performing better for I/O-bound tasks, while Multiprocessing excels in CPU-bound scenarios.

What are the installation requirements for both?

Joblib can be installed via pip with pip install joblib, while Multiprocessing is included in the Python standard library, so no installation is needed.

Is there a way to combine both libraries in a project?

Yes, you can use Joblib for data handling and preprocessing, and then use Multiprocessing for executing CPU-intensive tasks.