How to Measure Execution Time in Jupyter Notebook Cell

We can make use of the %time magic command in a Cell of a Jupyter Notebook to measure the execution time of a Python program.

Let us take a look at a few examples.

Example 1: A single Statement in a Cell

%time print(30*4039*3929)


476076930
CPU times: user 199 µs, sys: 189 µs, total: 388 µs
Wall time: 368 µs

Example 2: Execution Time of a Function Call

def func():
  sum = 293*19839*29
  print(sum)

We have the function in one cell and we call it from another.

%time func()

168571983
CPU times: user 36 µs, sys: 4 µs, total: 40 µs
Wall time: 42.9 µs

This works on Google Colab Notebooks as well.

Human-Written Content: This article was demonstrated by a human, not AI.

Please support independent contributors like Code2care by donating a coffee.

Documentation:

https://ipython.org/ipython-doc/3/interactive/magics.html#magic-time