diff --git a/2.4/reference/generated/numpy.gradient.html b/2.4/reference/generated/numpy.gradient.html
index 223d10c85..a5e1002c3 100644
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+++ b/2.4/reference/generated/numpy.gradient.html
@@ -675,7 +675,7 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 <dt><strong>varargs</strong><span class="classifier">list of scalar or array, optional</span></dt><dd><p>Spacing between f values. Default unitary spacing for all dimensions.
 Spacing can be specified using:</p>
 <ol class="arabic simple">
-<li><p>single scalar to specify a sample distance for all dimensions.</p></li>
+<li><p>Single scalar to specify a sample distance for all dimensions.</p></li>
 <li><p>N scalars to specify a constant sample distance for each dimension.
 i.e. <em class="xref py py-obj">dx</em>, <em class="xref py py-obj">dy</em>, <em class="xref py py-obj">dz</em>, …</p></li>
 <li><p>N arrays to specify the coordinates of the values along each
@@ -690,7 +690,7 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 <dt><strong>edge_order</strong><span class="classifier">{1, 2}, optional</span></dt><dd><p>Gradient is calculated using N-th order accurate differences
 at the boundaries. Default: 1.</p>
 </dd>
-<dt><strong>axis</strong><span class="classifier">None or int or tuple of ints, optional</span></dt><dd><p>Gradient is calculated only along the given axis or axes
+<dt><strong>axis</strong><span class="classifier">None or int or tuple of ints, optional</span></dt><dd><p>Gradient is calculated only along the given axis or axes.
 The default (axis = None) is to calculate the gradient for all the axes
 of the input array. axis may be negative, in which case it counts from
 the last to the first axis.</p>
@@ -993,4 +993,4 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 
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