Measure elapsed time in Python

David Y.

The Problem

How can I measure the execution time of my Python code?

The Solution

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

Get Started With Sentry

Get actionable, code-level insights to resolve Python performance bottlenecks and errors.

  1. Create a free Sentry account

  2. Create a Python project and note your DSN

  3. Grab the Sentry Python SDK

pip install --upgrade sentry-sdk
  1. Configure your DSN
import sentry_sdk sentry_sdk.init( "https://<key><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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