diff --git a/docs/mooc/using-compiled-code/profiling-cython.md b/docs/mooc/using-compiled-code/profiling-cython.md
index d9f52da..320e87e 100644
--- a/docs/mooc/using-compiled-code/profiling-cython.md
+++ b/docs/mooc/using-compiled-code/profiling-cython.md
@@ -1,21 +1,23 @@
 <!-- Title: Profiling Cython -->
 
-!-- Short description:
+<!-- Short description:
 
-By default, Cython code does not show up when using cProfile. In this article we
-discuss how to enable profiling of Cython code.
+By default, Cython code does not show up when using cProfile. In this article
+we discuss how to enable profiling for Cython code.
 
 -->
 
+# Profiling Cython
+
 As the first rule of optimization is to measure performance before starting
 any optimization work, one should have made profile of the pure Python code
-before starting any Cythonization. However, in the next optimization cycle one 
-should profile also the Cython code.
+before starting any Cythonization. However, in the next optimization cycle
+one should profile also the Cython code.
 
-By default, Cython code does not show up in the measurements of cProfile. One 
+By default, Cython code does not show up in the measurements of cProfile. One
 can, however, enable profiling either for the whole module or for individual
-functions. In order to enable profiling for the whole function, simply include 
-a global directive at the top of a file:
+functions. In order to enable profiling for the whole function, simply
+include a global directive at the top of a file:
 
 ~~~ python
 # cython: profile=True
@@ -26,8 +28,8 @@ def myfunc():
 ...
 ~~~
 
-In order to enable profiling for a single function, one can include the cython
-decorator before function definition:
+In order to enable profiling for a single function, one can include the
+cython decorator before a function definition:
 
 ~~~ python
 cimport cython
@@ -39,8 +41,8 @@ def my_func():
 
 As profiling adds always some overhead, small functions that are called very
 frequently can mess up the profile. In these cases one can use the decorator
-for disabling profiling for invidual function (in the case profiling is enabled
-for the whole module).
+for disabling profiling for some functions (if profiling is enabled for the
+whole module).
 
 ~~~ python
 # cython: profile=True
@@ -50,4 +52,3 @@ cimport cython
 def my_func_not_to_profile():
     ...
 ~~~
-