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Measure time accurately in Python with time.monotonic(), unaffected by system clock adjustments.

# Using Python’s time.monotonic

In Python, the `time.monotonic()` function is a way to measure time that is not subject to system clock adjustments. It provides a monotonically increasing clock, which means that it will never be adjusted backwards, even if the system clock is changed. This can be useful when you need to measure time intervals accurately, especially in performance-sensitive applications or when timing events that may span system clock adjustments.

## How to Use `time.monotonic()`

To use `time.monotonic()` in Python, you first need to import the `time` module:

“`python
import time
“`

Then, you can call the `time.monotonic()` function to get the current value of the monotonic clock:

“`python
start_time = time.monotonic()
“`

You can then perform some operations or wait for a certain amount of time, and later get another value of the monotonic clock:

“`python
end_time = time.monotonic()
“`

## Calculating Time Intervals

To calculate the time interval between two `time.monotonic()` calls, you simply subtract the start time from the end time:

“`python
elapsed_time = end_time – start_time
print(f”The elapsed time is: {elapsed_time} seconds”)
“`

This will give you the elapsed time in seconds. You can then use this information for various purposes, such as benchmarking code, measuring performance, or timing events.

## Example

Here’s a simple example demonstrating the usage of `time.monotonic()` to measure the time taken to execute a piece of code:

“`python
import time

start_time = time.monotonic()

# Perform some operation
for i in range(1000000):
pass

end_time = time.monotonic()

elapsed_time = end_time – start_time
print(f”Time taken: {elapsed_time} seconds”)
“`

By using `time.monotonic()`, you can accurately measure the time taken for the operation without worrying about system clock adjustments affecting the results.

## Conclusion

In conclusion, `time.monotonic()` in Python provides a reliable way to measure time intervals without being affected by system clock changes. It is a useful tool for performance measurement, benchmarking, and timing events accurately. By following the simple steps outlined above, you can make use of `time.monotonic()` in your Python projects to ensure accurate time measurements.