Python provides mechanisms for both concurrency and parallelism, each with its own syntax and use cases. For concurrency, Python offers two different mechanisms which share many common components.

Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.