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-rw-r--r--doc/source/reference/arrays.ndarray.rst8
1 files changed, 4 insertions, 4 deletions
diff --git a/doc/source/reference/arrays.ndarray.rst b/doc/source/reference/arrays.ndarray.rst
index b68e40e3f..bd6821b62 100644
--- a/doc/source/reference/arrays.ndarray.rst
+++ b/doc/source/reference/arrays.ndarray.rst
@@ -103,7 +103,7 @@ the bytes are interpreted is defined by the :ref:`data-type object
A segment of memory is inherently 1-dimensional, and there are many
different schemes for arranging the items of an *N*-dimensional array
-in a 1-dimensional block. Numpy is flexible, and :class:`ndarray`
+in a 1-dimensional block. NumPy is flexible, and :class:`ndarray`
objects can accommodate any *strided indexing scheme*. In a strided
scheme, the N-dimensional index :math:`(n_0, n_1, ..., n_{N-1})`
corresponds to the offset (in bytes):
@@ -155,7 +155,7 @@ base offset itself is a multiple of `self.itemsize`.
.. note::
Points (1) and (2) are not yet applied by default. Beginning with
- Numpy 1.8.0, they are applied consistently only if the environment
+ NumPy 1.8.0, they are applied consistently only if the environment
variable ``NPY_RELAXED_STRIDES_CHECKING=1`` was defined when NumPy
was built. Eventually this will become the default.
@@ -440,7 +440,7 @@ Each of the arithmetic operations (``+``, ``-``, ``*``, ``/``, ``//``,
``%``, ``divmod()``, ``**`` or ``pow()``, ``<<``, ``>>``, ``&``,
``^``, ``|``, ``~``) and the comparisons (``==``, ``<``, ``>``,
``<=``, ``>=``, ``!=``) is equivalent to the corresponding
-:term:`universal function` (or :term:`ufunc` for short) in Numpy. For
+:term:`universal function` (or :term:`ufunc` for short) in NumPy. For
more information, see the section on :ref:`Universal Functions
<ufuncs>`.
@@ -560,7 +560,7 @@ Matrix Multiplication:
.. note::
Matrix operators ``@`` and ``@=`` were introduced in Python 3.5
- following PEP465. Numpy 1.10 has a preliminary implementation of ``@``
+ following PEP465. NumPy 1.10 has a preliminary implementation of ``@``
for testing purposes. Further documentation can be found in the
:func:`matmul` documentation.