python.py

Python_Exercises.py

@@ -3,12 +3,13 @@
 
 # Answer the questions or complete the tasks outlined in bold below.
 
+import numpy as np
+
 
 def power(a,b):
 
-    # ** What is 7 to the power of 4?**
-
-    return None
+    # a = 7 and b = 4
+    return a**b
 
 
 
@@ -20,21 +21,23 @@ def split_str(s):
 #     
 # **into a list. **
 
-    return None
+    return list(s.split())
 
 
 def format(planet,diameter):
 
 # ** Given the variables:**
 # 
-#     planet = "Earth"
-#     diameter = 12742
+     planet = "Earth"
+     diameter = 12742
 # 
 # ** Use .format() to print the following string: **
 # 
 #     The diameter of Earth is 12742 kilometers.
+s = "The diameter of {} is {} kilometers." 
 
-    return None
+
+    return s.format(planet, diameter)
 
 
 
@@ -44,7 +47,7 @@ def indexing(lst):
 
 #lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
 
-    return None
+    return lst[3][1][2][0]
 
 
 def dictionary(d):
@@ -54,15 +57,15 @@ def dictionary(d):
 # d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
 
 
-    return None
+    return d['k1'][3]['tricky'][3]['target']
 
 
 def subjective():
 
 # ** What is the main difference between a tuple and a list? **
 # Tuple is _______
 
-    return None
+    return "Immutable"
 
 
 
@@ -74,22 +77,26 @@ def domainGet(email):
 #     [email protected]
 #     
 # **So for example, passing "[email protected]" would return: domain.com**
+s = "[email protected]"
 
-    return None
+    return s.split('@')[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
+dog = st.lower().split()
+if "dog" in dog:
+    return True
+else:
+    return False
 
 
 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 st.lower().split().count("dog")
 
 
 
@@ -103,7 +110,7 @@ def lambdafunc(seq):
 # 
 #     ['soup','salad']
 
-    return None
+    return list(filter(lamba i:i[0]=='s',seq)
 
 
 def caught_speeding(speed, is_birthday):
@@ -112,10 +119,25 @@ def caught_speeding(speed, is_birthday):
 # **You are driving a little too fast, and a police officer stops you. Write a function
 #   to return one of 3 possible results: "No ticket", "Small ticket", or "Big Ticket". 
 #   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 
+#   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 == True:
+       if speed > 85:
+                return "Big Ticket"
+       elif speed > 65 and speed <= 85:
+                return "Small ticket"
+       else 
+                return "No ticket"
+
+    else: 
+        if speed > 80:
+                return "Big Ticket"
+        elif speed > 60 and speed <= 80:
+                return "Small ticket"
+        else 
+                return "No ticket"
+
 
 
 ## Numpy Exercises
@@ -128,8 +150,10 @@ def create_arr_of_fives():
   #### Create an array of 10 fives
   #### Convert your output into list 
   #### e.g return list(arr) 
+
+  arr = np.array([5,5,5,5,5,5,5,5,5,5])     
 
-  return None
+  return list(arr)
 
 
 
@@ -138,8 +162,9 @@ 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) 
-
-  return None
+arr = np.arange(10,51,2)
+l = list(arr)                
+  return l
 
 
 
@@ -148,8 +173,9 @@ def create_matrix():
   ### Create a 3x3 matrix with values ranging from 0 to 8
   ### Convert your output into list 
   ### e.g return (arr).tolist()
-
-  return None
+  arr = np.arange(0,9)
+  arr = arr.reshape(3,3)
+  return arr.tolist()
 
 
 
@@ -158,8 +184,9 @@ 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) 
+  arr = np.linspace(0,1,20)
 
-  return None
+  return list(arr)
 
 
 
@@ -168,8 +195,11 @@ 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()
-
-  return None
+  arr = np.zeros((10,10))
+  for a in range(0,10):
+      for b in range(0,10):
+          arr[a][b]=(a*10 + b + 1)/100
+  return arr.tolist()
 
 
 
@@ -189,8 +219,8 @@ def slices_1():
   # array([[12, 13, 14, 15],
   #      [17, 18, 19, 20],
   #      [22, 23, 24, 25]])
-
-  return None
+  arr = arr[2:, 1:]
+  return arr.tolist()
 
 
 
@@ -211,7 +241,9 @@ def slices_2():
   #      [ 7],
   #      [12]])
 
-  return None 
+  arr = arr[:3, 1:]
+  return arr.tolist()
+
 
 
 
@@ -231,7 +263,9 @@ def slices_3():
   # array([[16, 17, 18, 19, 20],
   #      [21, 22, 23, 24, 25]])
 
-  return None 
+  arr = arr[3:]
+  return arr.tolist()
+
 
 
 # Great job!