Python Timer Functions (Overview)

Name: Python Timer Functions (Overview)
Uploaded: 2026-09-08T14:00:00+00:00
Duration: 46 s
Description: Hello! Today we’re going to be discussing Python timer functions. In this course, we’ll go over various timer functions from the time module, we’ll be abstracting those functions into a Timer class, and then we’ll be looking at what it would look…

Python Timer Functions Mahdi Shadkam-Farrokhi 00:46

A timer is a powerful tool for monitoring the performance of your Python code. By using the time.perf_counter() function, you can measure execution time with exceptional precision, making it ideal for benchmarking. Using a timer involves recording timestamps before and after a specific code block and calculating the time difference to determine how long your code took to run.

In this video course, you’ll start with the timer functions in Python’s time module and then abstract them into a reusable Timer class. You’ll extend that class to track multiple timers, convert it to a data class for convenience, and finally turn it into a context manager so that you can time a block of code with a single with statement.

By the end of this video course, you’ll understand that:

time.perf_counter() is the best choice for accurate timing in Python due to its high resolution.
process_time() and time() measure different things, so picking the wrong one can skew your results.
You can create a custom timer class to encapsulate timing logic and reuse it across multiple parts of your program.
Turning your timer into a data class cuts down on boilerplate and makes it easier to configure.
You can leverage context managers to neatly measure execution time in specific code blocks, improving both resource management and code clarity.

Along the way, you’ll gain deeper insights into how classes, data classes, and context managers work in Python.

Download

Course Slides (.pdf)

1.7 MB

Download

Sample Code (.zip)

4.9 KB

00:00 Hello! Today we’re going to be discussing Python timer functions. In this course, we’ll go over various timer functions from the time module, we’ll be abstracting those functions into a Timer class, and then we’ll be looking at what it would look like to have the Timer class as a context manager.

00:18 Just so you know, I’m using Python 3.14.5 in case you see any differences.

00:24 Here’s our rundown. We’ll go over the timer functions first, we’ll look at an initial Timer class, then we’ll look at what multiple timers would look like, we’ll then be enhancing our Timer class to work as a data class.

00:36 We’ll explore context managers, as well as looking at how our Timer class could be made into a context manager, and then seeing it in action.

00:44 Alright, let’s get to it!

Become a Member to join the conversation.