Python - Concurrency and Asynchronous Patterns

Concurrency allows your program to manage multiple operations simultaneously, leveraging the full power of modern processors. It’s akin to a chef preparing multiple dishes in parallel, each step orchestrated so that all dishes are ready at the same time. Asynchronous programming, on the other hand, lets your application move on to other tasks while waiting for operations to complete, such as sending a food order to the kitchen and serving other customers until the order is ready.

Technical requirements
• Faker, using pip install faker
• ReactiveX, using pip install reactivex

• The Thread Pool pattern

• The Worker Model pattern

• The Future and Promise pattern

• The Observer pattern in reactive programming

• Other concurrency and asynchronous patterns