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Questions and Answers
What happens when an exception occurs in Python?
What happens when an exception occurs in Python?
- The exception is ignored and stored for later processing
- The program continues executing ignoring the exception
- The program immediately crashes
- The Python interpreter stops the current process and passes it to the calling process (correct)
What are the consequences of not handling exceptions in Python?
What are the consequences of not handling exceptions in Python?
- The Python interpreter ignores the exception
- The program continues executing normally
- The exception is stored for later processing
- The program crashes immediately (correct)
What is the function of a lock in Python threading?
What is the function of a lock in Python threading?
- To force threads to execute in a specific order
- To terminate threads after a certain time
- To prevent multiple threads from accessing shared resources simultaneously (correct)
- To synchronize threads without any restrictions
Which type of exceptions are those defined by Python itself?
Which type of exceptions are those defined by Python itself?
What is the purpose of passing an exception to the calling process?
What is the purpose of passing an exception to the calling process?
What is one of the common uses of threading in Python for GUI applications?
What is one of the common uses of threading in Python for GUI applications?
How does threading benefit GUI applications?
How does threading benefit GUI applications?
In GUI applications, what does threading help to avoid?
In GUI applications, what does threading help to avoid?
Which operation can threading assist in GUI applications?
Which operation can threading assist in GUI applications?
What aspect of GUI applications can threading improve?
What aspect of GUI applications can threading improve?
How does threading contribute to enhancing user experience in GUI applications?
How does threading contribute to enhancing user experience in GUI applications?
What is one advantage of splitting a large computation-intensive task into smaller parts and executing them concurrently in separate threads?
What is one advantage of splitting a large computation-intensive task into smaller parts and executing them concurrently in separate threads?
In what scenarios is threading commonly used?
In what scenarios is threading commonly used?
What does threading provide in producer-consumer patterns?
What does threading provide in producer-consumer patterns?
How can threading be utilized in background tasks?
How can threading be utilized in background tasks?
What is an essential step for creating a simple thread in Python?
What is an essential step for creating a simple thread in Python?
How does threading help in executing multiple I/O operations concurrently?
How does threading help in executing multiple I/O operations concurrently?