docs: improve README examples of ndarray/base namespace

Updated examples for ndarray/base namespace

Fixes: #1588

lib/node_modules/@stdlib/ndarray/base/README.md

@@ -163,10 +163,46 @@ The namespace contains the following sub-namespaces:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var objectKeys = require( '@stdlib/utils/keys' );
+var Float64Array = require( '@stdlib/array/float64' );
+var linspace = require( '@stdlib/array/linspace' );
+var ddot = require( '@stdlib/blas/base/ddot' );
+var sin = require( '@stdlib/math/base/special/sin' );
+var cos = require( '@stdlib/math/base/special/cos' );
+var PI = require( '@stdlib/constants/float64/pi' );
 var ns = require( '@stdlib/ndarray/base' );
 
-console.log( objectKeys( ns ) );
+var resultData;
+var yStrides;
+var xStrides;
+var xShape;
+var yData;
+var xData;
+var y;
+var x;
+var i;
+
+xData = linspace( 0, 2 * PI, 100 );
+yData = linspace( 0, PI, 100 );
+x = ns.ndarray( 'float64', xData, [ 100 ], [ 1 ], 0, 'row-major' );
+y = ns.ndarray( 'float64', yData, [ 100 ], [ 1 ], 0, 'row-major' );
+
+// Apply sin function to each element of x and cos function to each element of y
+for ( i = 0; i < x.shape[ 0 ]; i++ ) {
+    x.set( i, sin( x.get( i ) ) );
+    y.set( i, cos( y.get( i ) ) );
+}
+
+resultData = new Float64Array( 1 );
+
+xShape = x.shape[ 0 ];
+xStrides = x.strides[ 0 ];
+yStrides = y.strides[ 0 ];
+
+// Calculate dot product of x and y
+resultData[ 0 ] = ddot( xShape, x.data, xStrides, y.data, yStrides );
+
+// Logs 42.00632598024892
+console.log( resultData[ 0 ] );
 ```
 
 </section>

lib/node_modules/@stdlib/ndarray/base/examples/index.js

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2018 The Stdlib Authors.
+* Copyright (c) 2024 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -18,7 +18,43 @@
 
 'use strict';
 
-var objectKeys = require( '@stdlib/utils/keys' );
+var Float64Array = require( '@stdlib/array/float64' );
+var linspace = require( '@stdlib/array/linspace' );
+var ddot = require( '@stdlib/blas/base/ddot' );
+var sin = require( '@stdlib/math/base/special/sin' );
+var cos = require( '@stdlib/math/base/special/cos' );
+var PI = require( '@stdlib/constants/float64/pi' );
 var ns = require( './../lib' );
 
-console.log( objectKeys( ns ) );
+var resultData;
+var yStrides;
+var xStrides;
+var xShape;
+var yData;
+var xData;
+var y;
+var x;
+var i;
+
+xData = linspace( 0, 2 * PI, 100 );
+yData = linspace( 0, PI, 100 );
+x = ns.ndarray( 'float64', xData, [ 100 ], [ 1 ], 0, 'row-major' );
+y = ns.ndarray( 'float64', yData, [ 100 ], [ 1 ], 0, 'row-major' );
+
+// Apply sin function to each element of x and cos function to each element of y
+for ( i = 0; i < x.shape[ 0 ]; i++ ) {
+	x.set( i, sin( x.get( i ) ) );
+	y.set( i, cos( y.get( i ) ) );
+}
+
+resultData = new Float64Array( 1 );
+
+xShape = x.shape[ 0 ];
+xStrides = x.strides[ 0 ];
+yStrides = y.strides[ 0 ];
+
+// Calculate dot product of x and y
+resultData[ 0 ] = ddot( xShape, x.data, xStrides, y.data, yStrides );
+
+// Logs 42.00632598024892
+console.log( resultData[ 0 ] );