Interpreters, Data Exchange, and Sub-interpreters

This chapter explores the process of creating and running interpreters, and exchanging data between them in parallel Python applications. It discusses the limitations of pickling and introduces an alternative package called dill. The chapter also delves into the use of sub interpreters, their restrictions, and the importance of proper application design in parallel processing.