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Master time measurement and sleep usage in Python to enhance code functionality and performance.

# Python Time Measurement & sleep Usage

When working with Python scripts, you may find the need to measure time or introduce delays in your code using the `time` module. This can be useful for various purposes such as benchmarking, synchronization, or simply pausing the execution of your script for a specific duration.

## Using `time.sleep()` for Delay

If you want to introduce a delay or pause the execution of your script for a certain amount of time, you can utilize the `time.sleep()` function. The syntax is straightforward:

“`python
import time

delay_sec = 1
time.sleep(delay_sec)
“`

In this example, the script will pause for 1 second before continuing with the execution of the subsequent code. You can adjust the `delay_sec` variable to specify the duration of the pause in seconds.

## Measuring Time Difference

In addition to introducing delays, you may also need to measure the elapsed time between two points in your script. The `time` module provides functions to achieve this as well.

Here is an example of how you can measure the elapsed time in seconds using `time.time_ns()`:

“`python
import time

def get_time_diff_sec(time_old):
time_diff = (time.time_ns() – time_old) / 1000000000
return time_diff

time_started = time.time_ns()
time.sleep(1)
time_elapsed = get_time_diff_sec(time_started)

print(“time_elapsed =”, time_elapsed)
“`

In this code snippet, we first record the starting time using `time.time_ns()` which returns the current time in nanoseconds. We then introduce a 1-second delay using `time.sleep(1)` to simulate some processing time. Finally, we calculate the elapsed time by subtracting the starting time from the current time and converting it to seconds.

## Output
After running the above code, you should see an output similar to the following:

“`
time_elapsed = 1.0024077
“`

This indicates that approximately 1 second has passed between the starting point and the time when the elapsed time was calculated.

For more information on time measurement and sleep usage in Python, you can refer to the [official Python documentation](https://docs.python.org/3/library/time.html) and other online resources such as [Real Python](https://realpython.com/python-sleep/).

By mastering the usage of `time` module and understanding how to measure time intervals and introduce delays in your Python scripts, you can enhance the functionality and performance of your code. Experiment with different time-related functions and explore the possibilities of time manipulation in your Python projects.