Update Python_Exercises.py

Python_Exercises.py

@@ -7,8 +7,10 @@
 def power(a,b):
 
     # ** What is 7 to the power of 4?**
-
-    return None
+ a=7
+ b=4
+ z=a**b
+ return None
 
 
 
@@ -20,6 +22,7 @@ def split_str(s):
 #     
 # **into a list. **
 
+
     return None
 
 
@@ -33,7 +36,9 @@ def format(planet,diameter):
 # ** Use .format() to print the following string: **
 # 
 #     The diameter of Earth is 12742 kilometers.
-
+planet="Earth"
+diameter=12742
+print('The diameter of :{two},is :{one}'.format{one=diameter,two=planet})
     return None
 
 
@@ -43,6 +48,9 @@ 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]
+lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
+d = lst[3][1][2][0]
+print(d)
 
     return None
 
@@ -52,15 +60,18 @@ 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']}]}]}
-
+d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
+z = d['k1'][3]['tricky'][3]['target'][3]
+print(z)
 
     return None
 
 
 def subjective():
 
 # ** What is the main difference between a tuple and a list? **
-# Tuple is _______
+# Tuple is _______ 
+List can be changed while Tupple cannot be changed means we can append list but cannot do the same with tuple.
 
     return None
 
@@ -74,21 +85,30 @@ def domainGet(email):
 #     [email protected]
 #     
 # **So for example, passing "[email protected]" would return: domain.com**
+z='[email protected]'
+x=z.split("@")[-1]
+print(x)
+
 
     return None
 
 
 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. **
-
+k="each and every person on this planet loves dogs"
+x=k.find("dogs")
+print(x)
+#this function specifies the number on which dog will appear for eg e of each is 0 and a of each is 1
     return None
 
 
 def countDog(st):
 
 # ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **
-
+y=['dogs','cats','lion','dogs']
+o = y.count("dogs")
+print(o)
     return None
 
 
@@ -114,6 +134,16 @@ def caught_speeding(speed, is_birthday):
 #   If your speed is 60 or less, the result is "No Ticket". If speed is between 61 
 #   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. **
+speed = 79
+
+if speed<60:
+print("NO TICKET")
+
+elif speed<80:
+print("SMALL TICKET")
+
+else:
+print("BIG TICKET")
 
     return None
 
@@ -128,6 +158,10 @@ def create_arr_of_fives():
   #### Create an array of 10 fives
   #### Convert your output into list 
   #### e.g return list(arr) 
+import numpy as np
+array=np.ones(10)*5
+print("Array of 10 fives:")
+print(array)
 
   return None
 
@@ -138,6 +172,10 @@ def even_num():
   ### Create an array of all the even integers from 10 to 50
   ### Convert your output into list 
   ### e.g return list(arr) 
+import numpy as np
+i=np.arange(10,51,2)
+print("Array of all the even integers from 10 to 50")
+print(i)
 
   return None
 
@@ -148,6 +186,9 @@ def create_matrix():
   ### Create a 3x3 matrix with values ranging from 0 to 8
   ### Convert your output into list 
   ### e.g return (arr).tolist()
+import numpy as np
+p = np.arange(0,9).reshape(3,3)
+print(p)
 
   return None
 
@@ -157,7 +198,10 @@ def linear_space():
 
   ### Create an array of 20 linearly spaced points between 0 and 1
   ### Convert your output into list 
-  ### e.g return list(arr) 
+  ### e.g return list(arr)
+import numpy as np
+c = np.linspace(0,1,20)
+print(c)
 
   return None
 
@@ -168,6 +212,9 @@ def decimal_mat():
   ### Create an array of size 10*10 consisting of numbers from 0.01 to 1
   ### Convert your output into list 
   ### e.g return (arr).tolist()
+import numpy as np
+l = np.linspace(0.01,1,100).reshape(10,10)
+print(l)
 
   return None
 
@@ -189,7 +236,10 @@ def slices_1():
   # array([[12, 13, 14, 15],
   #      [17, 18, 19, 20],
   #      [22, 23, 24, 25]])
-
+import numpy as np
+array = np.arange(1,26).reshape(5,5)
+arr=array.tolist()
+print(arr)
   return None
 
 
@@ -210,6 +260,10 @@ def slices_2():
   # array([[ 2],
   #      [ 7],
   #      [12]])
+import numpy as np
+array = np.arange(1,26).reshape(5,5)
+arr=array.tolist()
+print(arr)
 
   return None 
 
@@ -230,6 +284,10 @@ def slices_3():
   ### e.g return (arr).tolist()
   # array([[16, 17, 18, 19, 20],
   #      [21, 22, 23, 24, 25]])
+import numpy as np
+arr = np.arange(1,26).reshape(5,5)
+arr=arr[3:,:]
+print(arr)
 
   return None