Summary
In this chapter, we learned about concurrency and parallelism. We saw how threads and processes help in achieving one and the other. We explored the nature of threads and the issues that they expose us to: race conditions and deadlocks.
We learned how to solve those issues by using locks and careful resource management. We also learned how to make threads communicate and share data, and we talked about the scheduler, which is that part of the operating system that decides which thread will run at any given time. We then moved to processes, and explored a bunch of their properties and characteristics.
Following the initial theoretical part, we learned how to implement threads and processes in Python. We dealt with multiple threads and processes, fixed race conditions, and learned workarounds to stop threads without leaving any resource open by mistake. We also explored IPC, and used queues to exchange messages between processes and threads. We also played with events and barriers, which...
