Using timeit to profile Python code

The video tutorial explains the use of the TIMET function in Python for benchmarking small code segments. It highlights Python's focus on convenience over speed but notes the importance of optimizing tight loops. Two functions, F1 and F2, are compared using TIMET, showing F1's range function is faster. The tutorial discusses factors affecting benchmarks, such as system resources and Python versions, and advises using TIMET for small code portions, while C profile is recommended for entire applications.

What is the main purpose of the TIMET function in Python?

How do the two functions F1 and F2 differ in their implementation?

What factors can affect the performance of a benchmark in Python?

Why is it important to run benchmarks multiple times?

What is the recommended approach for profiling an entire application in Python?