diff --git a/sorts/normal_distribution_quick_sort.md b/sorts/normal_distribution_quick_sort.md
index 2a9f77b3ee95..d1bfb8bce507 100644
--- a/sorts/normal_distribution_quick_sort.md
+++ b/sorts/normal_distribution_quick_sort.md
@@ -1,18 +1,15 @@
 # Normal Distribution QuickSort
 
-
 Algorithm implementing QuickSort Algorithm where the pivot element is chosen randomly between first and last elements of the array and the array elements are taken from a Standard Normal Distribution.
-This is different from the ordinary quicksort in the sense, that it applies more to real life problems , where elements usually follow a normal distribution. Also the pivot is randomized to make it a more generic one.
-
+This is different from the ordinary quicksort in the sense, that it applies more to real life problems, where elements usually follow a normal distribution. Also the pivot is randomized to make it a more generic one.
 
 ## Array Elements
 
 The array elements are taken from a Standard Normal Distribution , having mean = 0 and standard deviation 1.
 
-#### The code
+### The code
 
 ```python
-
 >>> import numpy as np
 >>> from tempfile import TemporaryFile
 >>> outfile = TemporaryFile()
@@ -22,12 +19,11 @@ The array elements are taken from a Standard Normal Distribution , having mean =
 >>> np.save(outfile, X)
 >>> print('The array is')
 >>> print(X)
-
 ```
 
 ------
 
-#### The Distribution of the Array elements.
+### The Distribution of the Array elements
 
 ```python
 >>> mu, sigma = 0, 1 # mean and standard deviation
@@ -38,27 +34,18 @@ The array elements are taken from a Standard Normal Distribution , having mean =
 
 ```
 
+------
 
------
-
-
-
-
-![](https://www.mathsisfun.com/data/images/normal-distrubution-large.gif)
-
----
-
----------------------
+![normal distribution large](https://www.mathsisfun.com/data/images/normal-distrubution-large.gif)
 
---
+------
 
 ## Plotting the function for Checking 'The Number of Comparisons' taking place between Normal Distribution QuickSort and Ordinary QuickSort
 
 ```python
 >>>import matplotlib.pyplot as plt
 
-
-    # Normal Disrtibution QuickSort is red
+# Normal Disrtibution QuickSort is red
 >>> plt.plot([1,2,4,16,32,64,128,256,512,1024,2048],[1,1,6,15,43,136,340,800,2156,6821,16325],linewidth=2, color='r')
 
     #Ordinary QuickSort is green
@@ -68,8 +55,4 @@ The array elements are taken from a Standard Normal Distribution , having mean =
 
 ```
 
-
-----
-
-
-------------------
+------