6 files changed, 11 insertions, 11 deletions
diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst
index 2eaf3a27a..e396ee020 100644
--- a/doc/source/reference/c-api/array.rst
+++ b/doc/source/reference/c-api/array.rst
@@ -1223,7 +1223,7 @@ Converting data types
 
 .. c:function:: int PyArray_ObjectType(PyObject* op, int mintype)
 
-    This function is superceded by :c:func:`PyArray_MinScalarType` and/or
+    This function is superseded by :c:func:`PyArray_MinScalarType` and/or
     :c:func:`PyArray_ResultType`.
 
     This function is useful for determining a common type that two or
@@ -1237,7 +1237,7 @@ Converting data types
 .. c:function:: void PyArray_ArrayType( \
         PyObject* op, PyArray_Descr* mintype, PyArray_Descr* outtype)
 
-    This function is superceded by :c:func:`PyArray_ResultType`.
+    This function is superseded by :c:func:`PyArray_ResultType`.
 
     This function works similarly to :c:func:`PyArray_ObjectType` (...)
     except it handles flexible arrays. The *mintype* argument can have
@@ -1248,7 +1248,7 @@ Converting data types
 .. c:function:: PyArrayObject** PyArray_ConvertToCommonType( \
         PyObject* op, int* n)
 
-    The functionality this provides is largely superceded by iterator
+    The functionality this provides is largely superseded by iterator
     :c:type:`NpyIter` introduced in 1.6, with flag
     :c:data:`NPY_ITER_COMMON_DTYPE` or with the same dtype parameter for
     all operands.
@@ -1439,7 +1439,7 @@ An ndarray can have a data segment that is not a simple contiguous
 chunk of well-behaved memory you can manipulate. It may not be aligned
 with word boundaries (very important on some platforms). It might have
 its data in a different byte-order than the machine recognizes. It
-might not be writeable. It might be in Fortan-contiguous order. The
+might not be writeable. It might be in Fortran-contiguous order. The
 array flags are used to indicate what can be said about data
 associated with an array.
 
@@ -2488,7 +2488,7 @@ an element copier function as a primitive.::
 Array Iterators
 ---------------
 
-As of NumPy 1.6.0, these array iterators are superceded by
+As of NumPy 1.6.0, these array iterators are superseded by
 the new array iterator, :c:type:`NpyIter`.
 
 An array iterator is a simple way to access the elements of an
diff --git a/doc/source/release/1.13.0-notes.rst b/doc/source/release/1.13.0-notes.rst
index 5d8c932fe..9da9a99d7 100644
--- a/doc/source/release/1.13.0-notes.rst
+++ b/doc/source/release/1.13.0-notes.rst
@@ -243,7 +243,7 @@ It is similar to Matlab's square bracket notation for creating block matrices.
 
 ``isin`` function, improving on ``in1d``
 ----------------------------------------
-The new function ``isin`` tests whether each element of an N-dimensonal
+The new function ``isin`` tests whether each element of an N-dimensional
 array is present anywhere within a second array. It is an enhancement
 of ``in1d`` that preserves the shape of the first array.
 
diff --git a/doc/source/release/1.14.0-notes.rst b/doc/source/release/1.14.0-notes.rst
index 462631de6..8ee876fd3 100644
--- a/doc/source/release/1.14.0-notes.rst
+++ b/doc/source/release/1.14.0-notes.rst
@@ -43,7 +43,7 @@ New functions
   floating-point scalars unambiguously with control of rounding and padding.
 
 * ``PyArray_ResolveWritebackIfCopy`` and ``PyArray_SetWritebackIfCopyBase``,
-  new C-API functions useful in achieving PyPy compatibity.
+  new C-API functions useful in achieving PyPy compatibility.
 
 
 Deprecations
diff --git a/doc/source/release/1.16.5-notes.rst b/doc/source/release/1.16.5-notes.rst
index 5b6eb585b..5bf576fd0 100644
--- a/doc/source/release/1.16.5-notes.rst
+++ b/doc/source/release/1.16.5-notes.rst
@@ -51,14 +51,14 @@ A total of 23 pull requests were merged for this release.
 * `#13933 <https://github.com/numpy/numpy/pull/13933>`__: MAINT/BUG/DOC: Fix errors in _add_newdocs
 * `#13984 <https://github.com/numpy/numpy/pull/13984>`__: BUG: fix byte order reversal for datetime64[ns]
 * `#13994 <https://github.com/numpy/numpy/pull/13994>`__: MAINT,BUG: Use nbytes to also catch empty descr during allocation
-* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occured in PyMemoryView_FromObject
+* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occurred in PyMemoryView_FromObject
 * `#14043 <https://github.com/numpy/numpy/pull/14043>`__: BUG: Fixes for Undefined Behavior Sanitizer (UBSan) errors.
 * `#14044 <https://github.com/numpy/numpy/pull/14044>`__: BUG: ensure that casting to/from structured is properly checked.
 * `#14045 <https://github.com/numpy/numpy/pull/14045>`__: MAINT: fix histogram*d dispatchers
 * `#14046 <https://github.com/numpy/numpy/pull/14046>`__: BUG: further fixup to histogram2d dispatcher.
 * `#14052 <https://github.com/numpy/numpy/pull/14052>`__: BUG: Replace contextlib.suppress for Python 2.7
 * `#14056 <https://github.com/numpy/numpy/pull/14056>`__: BUG: fix compilation of 3rd party modules with Py_LIMITED_API...
-* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict contructor
+* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict constructor
 * `#14058 <https://github.com/numpy/numpy/pull/14058>`__: DOC: Document array_function at a higher level.
 * `#14084 <https://github.com/numpy/numpy/pull/14084>`__: BUG, DOC: add new recfunctions to `__all__`
 * `#14162 <https://github.com/numpy/numpy/pull/14162>`__: BUG: Remove stray print that causes a SystemError on python 3.7
diff --git a/doc/source/release/1.18.0-notes.rst b/doc/source/release/1.18.0-notes.rst
index d59f985cd..15e0ad77f 100644
--- a/doc/source/release/1.18.0-notes.rst
+++ b/doc/source/release/1.18.0-notes.rst
@@ -195,7 +195,7 @@ adjustment to user- facing code. Specifically, code that either disallowed the
 calls to ``numpy.isinf`` or ``numpy.isnan`` or checked that they raised an
 exception will require adaptation, and code that mistakenly called
 ``numpy.fmax`` and ``numpy.fmin`` instead of ``numpy.maximum`` or
-``numpy.minimum`` respectively will requre adjustment. This also affects
+``numpy.minimum`` respectively will require adjustment. This also affects
 ``numpy.nanmax`` and ``numpy.nanmin``.
 (`gh-14841 <https://github.com/numpy/numpy/pull/14841>`__)
 
diff --git a/doc/source/user/c-info.beyond-basics.rst b/doc/source/user/c-info.beyond-basics.rst
index 62e8139fe..9e9cd3067 100644
--- a/doc/source/user/c-info.beyond-basics.rst
+++ b/doc/source/user/c-info.beyond-basics.rst
@@ -110,7 +110,7 @@ to a small(er) fraction of the total time. Even if the interior of the
 loop is performed without a function call it can be advantageous to
 perform the inner loop over the dimension with the highest number of
 elements to take advantage of speed enhancements available on micro-
-processors that use pipelining to enhance fundmental operations.
+processors that use pipelining to enhance fundamental operations.
 
 The :c:func:`PyArray_IterAllButAxis` ( ``array``, ``&dim`` ) constructs an
 iterator object that is modified so that it will not iterate over the