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-rw-r--r--doc/source/reference/arrays.scalars.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/arrays.scalars.rst b/doc/source/reference/arrays.scalars.rst
index f8fad0095..4acaf1b3b 100644
--- a/doc/source/reference/arrays.scalars.rst
+++ b/doc/source/reference/arrays.scalars.rst
@@ -94,7 +94,7 @@ Python Boolean scalar.
:class:`int` built-in under Python 3, because type :class:`int` is no
longer a fixed-width integer type.
-.. tip:: The default data type in Numpy is :class:`float_`.
+.. tip:: The default data type in NumPy is :class:`float_`.
In the tables below, ``platform?`` means that the type may not be
available on all platforms. Compatibility with different C or Python
@@ -288,4 +288,4 @@ the built-in scalar types): One way is to simply subclass the
a degree, but internally certain behaviors are fixed by the data type of
the array. To fully customize the data type of an array you need to
define a new data-type, and register it with NumPy. Such new types can only
-be defined in C, using the :ref:`Numpy C-API <c-api>`.
+be defined in C, using the :ref:`NumPy C-API <c-api>`.