Numpy

README.md

@@ -1716,14 +1716,14 @@ import numpy as np
 <array> = np.random.randint(from_inclusive, to_exclusive, <shape>)
 ```
 
-#### Shape is a tuple of dimension sizes:
+#### Shape is a tuple of dimension sizes.
 ```python
 <array>.shape = <shape>
 <view>  = <array>.reshape(<shape>)
 <view>  = np.broadcast_to(<array>, <shape>)
 ```
 
-#### Axis is an index of dimension that gets collapsed:
+#### Axis is an index of dimension that gets collapsed.
 ```python
 <array> = <array>.sum(<axis>)
 <array> = <array>.argmin(<axis>)