From 71a1150c95d455c1f640c088f0ccea22de8c86dd Mon Sep 17 00:00:00 2001
From: ClayXrex <87029308+ClayXrex@users.noreply.github.com>
Date: Sat, 12 Nov 2022 12:31:57 +0100
Subject: [PATCH] fix: typo

---
 .../py_core/py_optimization/py_optimization.markdown            | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/py_tutorials/py_core/py_optimization/py_optimization.markdown b/doc/py_tutorials/py_core/py_optimization/py_optimization.markdown
index 61f403bf54..d24613a643 100644
--- a/doc/py_tutorials/py_core/py_optimization/py_optimization.markdown
+++ b/doc/py_tutorials/py_core/py_optimization/py_optimization.markdown
@@ -14,7 +14,7 @@ So in this chapter, you will learn:
 Apart from OpenCV, Python also provides a module **time** which is helpful in measuring the time of
 execution. Another module **profile** helps to get a detailed report on the code, like how much time
 each function in the code took, how many times the function was called, etc. But, if you are using
-IPython, all these features are integrated in an user-friendly manner. We will see some important
+IPython, all these features are integrated in a user-friendly manner. We will see some important
 ones, and for more details, check links in the **Additional Resources** section.
 
 Measuring Performance with OpenCV