Python Concurrency and Parallelism

Python Concurrency and Parallelism - Important Points

A. They are more efficient than threads or processes.

B. They allow for better memory management.

C. They allow for easier synchronization between tasks.

D. They allow for better handling of I/O bound tasks.

A. multiprocessing

B. concurrent.futures

C. asyncio

D. numba

A. It allows for more efficient use of CPU resources.

B. It allows for better memory management.

C. It allows for easier synchronization between tasks.

D. It allows for better handling of I/O bound tasks.

A. cancel()

B. stop()

C. terminate()

D. kill()

A. Web scraping

B. GUI programming

C. Numerical computation

D. Database programming