Snakes and Codes

Concurrency and parallelism are important concepts in modern computing, and Python provides a number of tools for writing concurrent and parallel programs. Here's an overview of how to write concurrent and parallel programs in Python: Threads Threads are a lightweight way to achieve concurrency in Python. Python provides a built-in threading module that can be used to create and manage threads. Here's an example of how to create a thread: import threading def print_numbers(): for i in range(1, 11): print(i) t = threading.Thread(target=print_numbers) t.start() Processes Processes are a way to achieve true parallelism in Python, since each process runs in a separate memory space. Python provides a built-in multiprocessing module that can be used to create and manage processes. Here's an example of how to create a process: import multiprocessing def print_numbers(): for i in range(1, 11): print(i) p = multiprocessing.Process(target=print_numbers) ...