docs: update function description

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---

Author: anandkaranubc

lib/node_modules/@stdlib/math/base/special/expf/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # expf
 
-> Evaluate the natural [exponential function][exponential-function] for a single-precision floating-point number.
+> Natural [exponential function][exponential-function] for a single-precision floating-point number.
 
 <section class="intro">
 
@@ -32,11 +32,6 @@ The natural [exponential function][exponential-function] is defined as
 y = e^x
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="y = e^x" data-equation="eq:natural_exponential_function">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@117273e7c4f27b0835723c2940d9675af0e14cb7/lib/node_modules/@stdlib/math/base/special/expf/docs/img/equation_natural_exponential_function.svg" alt="Natural exponential function definition">
-    <br>
-</div> -->
-
 <!-- </equation> -->
 
 where `e` is [Euler's][@stdlib/constants/float32/e] number.
@@ -83,18 +78,15 @@ v = expf( NaN );
 
 ```javascript
 var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
 var expf = require( '@stdlib/math/base/special/expf' );
 
 var opts = {
     'dtype': 'float32'
 };
-
 var x = uniform( 100, -50.0, 50.0, opts );
-var i;
 
-for ( i = 0; i < 100; i++ ) {
-    console.log( 'e^%f = %f', x[ i ], expf( x[ i ] ) );
-}
+logEachMap( 'e^%0.4f = %0.4f', x, expf );
 ```
 
 </section>