diff --git a/data_structures/Binary Tree/binary_seach_tree.py b/data_structures/Binary Tree/binary_seach_tree.py
index 1dac948ae..0b1726534 100644
--- a/data_structures/Binary Tree/binary_seach_tree.py	
+++ b/data_structures/Binary Tree/binary_seach_tree.py	
@@ -8,7 +8,7 @@ class Node:
     def __init__(self, label):
         self.label = label
         self.left = None
-        self.rigt = None
+        self.right = None
 
     def getLabel(self):
         return self.label
@@ -23,10 +23,10 @@ class Node:
         self.left = left
 
     def getRight(self):
-        return self.rigt
+        return self.right
 
     def setRight(self, right):
-        self.rigt = right
+        self.right = right
 
 
 class BinarySearchTree:
diff --git a/data_structures/Graph/Breadth_First_Search.py b/data_structures/Graph/Breadth_First_Search.py
index 1a3fdfd4d..92a6e819b 100644
--- a/data_structures/Graph/Breadth_First_Search.py
+++ b/data_structures/Graph/Breadth_First_Search.py
@@ -1,9 +1,9 @@
 class GRAPH:
     """docstring for GRAPH"""
     def __init__(self, nodes):
-        self.nodes=nodes
-        self.graph=[[0]*nodes for i in range (nodes)]
-        self.visited=[0]*nodes
+        self.nodes = nodes
+        self.graph = [[0]*nodes for i in range (nodes)]
+        self.visited = [0]*nodes
 
 
     def show(self):
@@ -23,7 +23,7 @@ class GRAPH:
             v = queue[0]
             for u in range(self.vertex):
                 if self.graph[v][u] == 1:
-                    if visited[u]== False:
+                    if visited[u] is False:
                         visited[u] = True
                         queue.append(u)
                         print('%d visited' % (u +1))
@@ -41,30 +41,32 @@ g.add_edge(4,8)
 g.add_edge(5,9)
 g.add_edge(6,10)
 g.bfs(4)
-=======
-        print self.graph
+
+print(self.graph)
 
     def add_edge(self, i, j):
         self.graph[i][j]=1
         self.graph[j][i]=1
 
-    def bfs(self,s):
-        queue=[s]
-        self.visited[s]=1
-        while len(queue)!=0:
-            x=queue.pop(0)
+    def bfs(self, s):
+        queue = [s]
+        self.visited[s] = 1
+        while len(queue)!= 0:
+            x = queue.pop(0)
             print(x)
-            for i in range(0,self.nodes):
-                if self.graph[x][i]==1 and self.visited[i]==0:
+            for i in range(0, self.nodes):
+                if self.graph[x][i] == 1 and self.visited[i] == 0:
                     queue.append(i)     
-                    self.visited[i]=1
+                    self.visited[i] = 1
 
-n=int(input("Enter the number of Nodes : "))
-g=GRAPH(n)
-e=int(input("Enter the no of edges : "))
+n = int(input("Enter the number of Nodes : "))
+g = GRAPH(n)
+e = int(input("Enter the no of edges : "))
 print("Enter the edges (u v)")
-for i in range(0,e):
-    u,v=map(int, raw_input().split())
-    g.add_edge(u,v)
-s=int(input("Enter the source node :"))
+
+for i in range(0, e):
+    u ,v = map(int, raw_input().split())
+    g.add_edge(u, v)
+
+s = int(input("Enter the source node :"))
 g.bfs(s)