Concurrent and Parallel Programming in Python - Multiprocessing Introduction

The video tutorial explains the concepts of threading and multiprocessing in Python. It begins with a simple threading script to monitor CPU usage and then transitions to multiprocessing to demonstrate performance improvements. The tutorial highlights the differences in CPU utilization and speed between threading and multiprocessing, emphasizing the benefits of using multiprocessing for CPU-intensive tasks. The video concludes with a comparison of the two approaches, noting the impact of available CPU cores on performance.

What is the main difference between threading and multi-processing as discussed in the text?

Describe the function that checks values in a list as mentioned in the text.

How does the number of processes affect CPU utilization according to the discussion?

What was the observed CPU usage when using multi-processing compared to threading?

Explain the significance of the global interpreter lock in the context of threading and multi-processing.

What are the expected outcomes when running a multi-processing program as described in the text?

In what scenarios would you prefer to use threading over multi-processing based on the information provided?