Python Threads & Processes

Project for demonstration of usage of threads and processes using the fantastic concurrent.futures module (which provides a high-level interface for asynchronous task execution) as compared to the standard multiprocessing and threading modules.

You should:

• Use Multiprocessing for: CPU bound tasks - compute intensive

• Use Multithreading for: I/O bound tasks - network, file operations

• loops/lists should be iterated within the executor context manager (with _ as _: ) iteratively running executor.submit or within executor.map. No point in iterating over loops/lists outside the context manager.

Further Resources

• Python Docs for concurrent.futures
• Python Threading Tutorial by Corey Schafer
• Python Multiprocessing Tutorial by Corey Schafer

Deps

• python 3.6
• virtualenv