How can I measure the execution time of my Python code?
We can do this using the perf_counter
function in Python’s built-in time
module.
import time start = time.perf_counter() function_to_time() end = time.perf_counter() print(end - start) # will print the elapsed time in seconds
In most cases, perf_counter
will give us the results we want, as it measures the real amount of time our system took between calls. However, as operating systems often switch between processes, there is no guarantee that this function will provide an accurate record of the amount of time spent executing only our code. To determine this, we can use process_time
instead. This function will ignore any time spent on other processes and should thus give us a more isolated result useful for measuring code efficiency.
import time start = time.process_time() function_to_time() end = time.process_time() print(end - start) # will print the time spent on this process in seconds
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pip install --upgrade sentry-sdk
import sentry_sdk sentry_sdk.init( "https://<key>@sentry.io/<project>", # Set traces_sample_rate to 1.0 to capture 100% # of transactions for performance monitoring. # We recommend adjusting this value in production. traces_sample_rate=1.0, )
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