The Ultimate Guide to Python Programming With Python 3.10 - What Is Threading and Multiprocessing?

The video tutorial explains Python's execution model, focusing on synchronous execution where each line depends on the previous one. It introduces threading, which allows functions to be called without waiting for their return values, and multiprocessing, which enables parallel execution of functions. These concepts help improve program efficiency and performance.

What is a key characteristic of Python as an interpreted language?

• Programs are executed in parallel by default.

• Programs require a separate linker.

• Programs are executed line by line.

• Programs are compiled before execution.

Why can't we print a value before it is returned by a function in Python?

• Because the function must be defined after the print statement.

• Because Python does not support return statements.

• Because each expression depends on the previous one to execute.

• Because Python executes all lines simultaneously.

What is a limitation of synchronous function execution?

• Functions can only be executed in parallel.

• Functions cannot return any values.

• Functions must be executed one after another, waiting for each to finish.

• Functions can only be executed in a random order.

What is threading in the context of Python programming?

• Executing functions one after another, waiting for each to finish.

• Executing functions concurrently without waiting for their return values.

• Executing functions in a random order.

• Executing functions with a delay.

How does multiprocessing differ from threading in Python?

• Multiprocessing does not support concurrent execution.

• Multiprocessing is slower than threading.

• Multiprocessing allows functions to be executed in parallel using multiple processes.

• Multiprocessing executes functions in a single thread.