Concurrent and Parallel Programming in Python - Locking

The video tutorial explains threading in Python, focusing on thread-safe queues, race conditions, and the use of locks to prevent these conditions. It demonstrates creating a counter with multiple threads and highlights the issues of race conditions when threads access shared variables simultaneously. The tutorial introduces locks as a solution and shows how to use context managers for cleaner code when handling locks.

What is the primary purpose of using queues in threading applications?

• To simplify code structure

• To ensure thread safety

• To reduce memory usage

• To increase the speed of execution

In the threading program, what is the expected final value of the counter when each thread increments it 10 times?

• 40

• 30

• 20

• 10

What is a race condition in the context of threading?

• A situation where threads compete for CPU time

• A condition where threads are blocked indefinitely

• A scenario where multiple threads access a shared variable simultaneously

• A condition where threads run faster than expected

How does a lock help in preventing race conditions?

• By allowing multiple threads to access a variable simultaneously

• By blocking other threads from accessing a variable while one thread is using it

• By reducing the memory footprint of the program

• By speeding up the execution of threads

What is the effect of using locks on thread operations?

• It eliminates the need for queues

• It decreases the number of threads

• It forces sequential operations

• It increases parallelism

What is the advantage of using a context manager for locks in Python?

• It reduces the number of threads

• It simplifies the code structure

• It increases the speed of execution

• It automatically releases the lock

Why is it important to release a lock after acquiring it?

• To increase the speed of the program

• To allow other threads to access the shared resource

• To reduce memory usage

• To simplify the code

What happens if a lock is not released in a threading program?

• The program becomes more efficient

• The program uses less memory

• The program may hang or deadlock

• The program runs faster

In the context of threading, what is the main benefit of using locks?

• To increase the number of threads

• To ensure consistent results by preventing race conditions

• To reduce the complexity of the code

• To improve memory management

What is the primary use of threading in network IO operations?

• To increase CPU usage

• To handle multiple network requests simultaneously

• To reduce the number of network requests

• To simplify network code