From: ClayXrex <87029308+ClayXrex@users.noreply.github.com>
Date: Sat, 12 Nov 2022 11:31:57 +0000 (+0100)
Subject: fix: typo
X-Git-Tag: accepted/tizen/unified/20230127.161057~1^2~6^2~16^2
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=71a1150c95d455c1f640c088f0ccea22de8c86dd;p=platform%2Fupstream%2Fopencv.git

fix: typo
---

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 61f403b..d24613a 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