diff --git a/Python_Exercises.py b/Python_Exercises.py
index d7e6135..8058840 100644
--- a/Python_Exercises.py
+++ b/Python_Exercises.py
@@ -7,65 +7,59 @@
 def power(a,b):
     
     # ** What is 7 to the power of 4?**
+    ans=a**b
     
-    return None
+    return ans
 
 
 
 def split_str(s):
     
     # ** Split this string:**
-# 
-#     s = "Hi there Sam!"
-#     
+   s = "Hi there Sam!"
+   my_list=list(s.split())
 # **into a list. **
+   
 
-    return None
+   return my_list
 
 
 def format(planet,diameter):
     
 # ** Given the variables:**
 # 
-#     planet = "Earth"
-#     diameter = 12742
-# 
-# ** Use .format() to print the following string: **
-# 
-#     The diameter of Earth is 12742 kilometers.
+  planet = "Earth"
+  diameter = 12742
 
-    return None
+# ** Use .format() to print the following string: **
+  
 
+  return "The diameter of {} is {} kilometers.".format(planet,diameter)
 
 
 def indexing(lst):
     
 # ** Given this nested list, use indexing to grab the word "hello" **
 
-#lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
-
-    return None
+ lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
+ 
+ return lst[3][1][2][0]
 
 
 def dictionary(d):
     
 # ** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky **
 
-# d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
-
-
-    return None
+    d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
+    return d['k1'][3]['tricky'][3]['target'][3]
 
 
 def subjective():
     
 # ** What is the main difference between a tuple and a list? **
-# Tuple is _______
-
-    return None
-
-
+#Tuple is _______
 
+    return "immutable"
 
 def domainGet(email):
     
@@ -74,23 +68,21 @@ def domainGet(email):
 #     user@domain.com
 #     
 # **So for example, passing "user@domain.com" would return: domain.com**
-
-    return None
+    my_list=list(email.split("@"))
+    return str(my_list[1])
 
 
 def findDog(st):
     
 # ** Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. **
 
-    return None
-
+    return "dog" in st.lower()
 
 def countDog(st):
 
 # ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **
-
-    return None
-
+  
+    return len(st.lower().split("dog"))-1
 
 
 def lambdafunc(seq):
@@ -103,7 +95,7 @@ def lambdafunc(seq):
 # 
 #     ['soup','salad']
 
-    return None
+    return list(filter(lambda var:var[0]=='s',(seq)))
 
 
 def caught_speeding(speed, is_birthday):
@@ -115,7 +107,19 @@ def caught_speeding(speed, is_birthday):
 #   and 80 inclusive, the result is "Small Ticket". If speed is 81 or more, the result is "Big    Ticket". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all 
 #   cases. **
 
-    return None
+  
+   if (is_birthday):
+     limits =[65,85]
+   else:
+     limits =[60,80]
+
+   if speed<=limits[0]:
+      return "No Ticket"
+   elif speed<=limits[1]:
+      return "Small Ticket"
+   else:
+      return "Big Ticket"
+      
 
 
 ## Numpy Exercises
@@ -128,9 +132,8 @@ def create_arr_of_fives():
   #### Create an array of 10 fives
   #### Convert your output into list 
   #### e.g return list(arr) 
-
-  return None
-
+  arr=np.full(10,5)
+  return list(arr)
 
 
 def even_num():
@@ -139,7 +142,9 @@ def even_num():
   ### Convert your output into list 
   ### e.g return list(arr) 
 
-  return None
+  arr=np.arange(10,51,2)
+
+  return list(arr)
 
 
 
@@ -149,7 +154,9 @@ def create_matrix():
   ### Convert your output into list 
   ### e.g return (arr).tolist()
 
-  return None
+  
+
+  return np.arange(9).reshape(3,3).tolist()
 
 
 
@@ -159,7 +166,7 @@ def linear_space():
   ### Convert your output into list 
   ### e.g return list(arr) 
 
-  return None
+  return list(np.linspace(0,1,20))
 
 
 
@@ -169,7 +176,7 @@ def decimal_mat():
   ### Convert your output into list 
   ### e.g return (arr).tolist()
 
-  return None
+  return np.around(np.linspace(0.01,1.,100),decimals=2).reshape(10,10).tolist()
 
 
 
@@ -190,7 +197,8 @@ def slices_1():
   #      [17, 18, 19, 20],
   #      [22, 23, 24, 25]])
 
-  return None
+  return arr[2: ,1: ].tolist()
+
 
 
 
@@ -211,7 +219,7 @@ def slices_2():
   #      [ 7],
   #      [12]])
 
-  return None 
+  return (arr[ :3,1:2].tolist())
 
 
 
@@ -231,7 +239,7 @@ def slices_3():
   # array([[16, 17, 18, 19, 20],
   #      [21, 22, 23, 24, 25]])
     
-  return None 
+  return arr[3: , ].tolist()
 
 
 # Great job!