Peer-Learning

What are the two main concepts explored in this presentation regarding concurrent programming in Python?

• Single-threading and parallelism

• Multithreading and multiprocessing

• Pythonic multitasking and asynchronous programming

• Sequential execution and distributed computing

What does multithreading allow within the context of a single process?

• Separate memory spaces for each thread

• Execution of multiple threads in a single process

• Exclusive access to resources by each thread

• Isolation of threads from one another

What does multiprocessing involve in terms of executing tasks?

• Running multiple threads within a process

• Sharing memory space between processes

• Execution of multiple processes

• Synchronizing tasks in a single process

How does the memory model differ between multithreading and multiprocessing?

• Both share the same memory space

• Multithreading has separate memory spaces

• Multiprocessing handles independent processes with separate memory

• Both have isolated memory spaces

Which of the following is a characteristic of I/O-bound tasks?

• Require significant computation

• Involve complex calculations

• Spend more time waiting for external resources

• Fully utilize multiple cores

What is the primary purpose of the provided Python implementation?

• Sorting a list of numbers

• Calculating the factorial of a number

• Calculating square and cube values for a given list

• Reading data from a file

What is the purpose of the threading module in the second part of the implementation?

• Controlling the flow of execution

• Managing thread safety

• Introducing parallelism with threads

• Handling exceptions in threads

How are the two threads (t1 and t2) started and joined in the multithreading implementation?

• Using start() and end()

• Using begin() and finish()

• Using run() and terminate()

• Using start() and join()

What is the primary observation regarding the time required for the entire task in the single-threaded and multithreaded implementations?

• Multithreading always takes longer

• No significant time difference

• Multithreading is faster

• Single-threading is faster

In the context of the presented Python implementation, when might one choose to use multithreading, and when might multiprocessing be more suitable?

• Multithreading for CPU-bound tasks, multiprocessing for I/O-bound tasks

• Multithreading for I/O-bound tasks, multiprocessing for CPU-bound tasks

• Multithreading for both CPU-bound and I/O-bound tasks

• Multiprocessing for both CPU-bound and I/O-bound tasks