Add files via upload

Python_Exercise.py

@@ -0,0 +1,309 @@
+# -*- coding: utf-8 -*-
+"""Assignment_python1.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1JVYuKtWa6h9TqNEzRqlB_FEfjv0w8D-h
+"""
+
+#@title Default title text
+def power(a,b):
+
+
+    if b==0:
+        return 1
+    elif a==0:
+        return 0
+    elif b==1:
+        return a
+    else:
+        return a**b
+
+    # ** What is 7 to the power of 4?**
+
+power(7,4)
+
+def split_str(s):
+
+    # ** Split this string:**
+# 
+    s = "Hi there Sam!"
+
+# **into a list. **
+    return s.split()
+
+split_str("Hi there Sam!")
+
+def format(planet,diameter):
+
+# ** Given the variables:**
+# 
+#    planet = "Earth"
+#   diameter = 12742
+
+# ** Use .format() to print the following string: **
+    print('The diameter of {} is {} kilometers'.format(planet,diameter))
+#     The diameter of Earth is 12742 kilometers.
+
+    return None
+
+format(planet="Earth",diameter=12742)
+
+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[3][1][2][0]
+
+  return lst[3][1][2][0]
+
+indexing(lst=[1,2,[3,4],[5,[100,200,['hello']],23,11],1,7])
+
+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 d['k1'][3]['tricky'][3]['target'][3]
+
+#  return None
+
+dictionary(d={'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]})
+
+def subjective():
+
+# ** What is the main difference between a tuple and a list? **
+    c = print('Tuple is immutable')
+
+    return c
+
+subjective()
+
+def domainGet(email):
+
+    # ** Create a function that grabs the email website domain from a string in the form: **
+
+    return email.split('@')[-1]
+
+domainGet('user@domain.com')
+
+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 'dog' in st.lower().split()
+
+findDog('Did a dog bite you?')
+
+def countDog(st):
+
+# ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **
+    mark=0
+    for word in st.lower().split():
+      if word == 'dog':
+        mark +=1
+
+    return mark
+
+countDog("The dog or domestic dog is a domesticated descendant of the wolf which is characterized by an upturning tail")
+
+# ** Use lambda expressions and the filter() function to filter out words from a list that don't start with the letter 's'. For example:**
+# 
+#     seq = ['soup','dog','salad','cat','great']
+# 
+# **should be filtered down to:**
+# 
+#     ['soup','salad']
+
+
+def lambdafunc(seq):
+      seq = ['soup','dog','salad','cat','great']
+      b= list(filter(lambda test: test[0] == "s",seq ))
+      print(b)
+      return None
+
+lambdafunc(seq = ['soup','dog','salad','cat','great'])
+
+# **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 
+#   cases. **
+
+
+def caught_speeding(speed, is_birthday):
+  if is_birthday == True:
+    allowed_speed = speed + 5
+  else: 
+    allowed_speed = speed
+
+  if allowed_speed >80:
+    return 'Big Ticket'
+  elif allowed_speed >60:
+    return 'Small Ticket'
+  else :
+    return 'No Ticket'
+
+caught_speeding(75,True)
+
+import numpy as np
+
+
+def create_arr_of_fives():
+
+  #### Create an array of 10 fives
+  arr = np.ones(10)*5
+  print("The array is: ")
+  print(arr)
+  #### Convert your output into list 
+  #### e.g return list(arr) 
+  print("The output list is: ")
+  return list(arr)
+
+create_arr_of_fives()
+
+import numpy as np 
+
+
+def even_num():
+
+  ### Create an array of all the even integers from 10 to 50
+  arr = np.arange(10,51)
+  print("The array is: ")
+  print(arr)
+  ### Convert your output into list 
+  ### e.g return list(arr) 
+  print("The output list is: ")
+  return list(arr)
+
+even_num()
+
+import numpy as np
+
+
+def create_matrix():
+
+  ### Create a 3x3 matrix with values ranging from 0 to 8
+  arr = np.arange(9).reshape(3,3)
+  print("The array is: ")
+  print(arr)
+  ### Convert your output into list 
+  ### e.g return (arr).tolist()
+  print("The output list is: ")
+  return (arr).tolist()
+
+create_matrix()
+
+import numpy as np
+
+
+def linear_space():
+
+  ### Create an array of 20 linearly spaced points between 0 and 1
+  arr = np.linspace(0,1)
+  print("The array is: ")
+  print(arr)
+  ### Convert your output into list 
+  ### e.g return list(arr) 
+  print("The output list is: ")
+  return list(arr)
+
+linear_space()
+
+import numpy as np 
+
+
+def decimal_mat():
+
+  ### Create an array of size 10*10 consisting of numbers from 0.01 to 1
+  arr = np.arange(1,101).reshape(10,10)/100
+  print("The array is: ")
+  print(arr)
+  ### Convert your output into list 
+  ### e.g return (arr).tolist()
+  print("The output list is: ")
+  return (arr).tolist()
+
+decimal_mat()
+
+import numpy as np
+
+
+def slices_1():
+
+  # This is a given array
+  arr = np.arange(1,26).reshape(5,5)
+  # array([[ 1,  2,  3,  4,  5],
+  #      [ 6,  7,  8,  9, 10],
+  #      [11, 12, 13, 14, 15],
+  #      [16, 17, 18, 19, 20],
+  #      [21, 22, 23, 24, 25]])
+
+  # Write a code to slice this given array
+  ### Convert your output into list 
+  ### e.g return (arr).tolist()
+  # array([[12, 13, 14, 15],
+  #      [17, 18, 19, 20],
+  #      [22, 23, 24, 25]])
+  print("The sliced array is: ")
+  array = arr[2:,1:]
+  print(array)
+  print("The output list is: ")
+  return (array).tolist()
+
+slices_1()
+
+import numpy as np
+
+
+def slices_2():
+
+  # This is a given array
+  arr = np.arange(1,26).reshape(5,5)
+  # array([[ 1,  2,  3,  4,  5],
+  #      [ 6,  7,  8,  9, 10],
+  #      [11, 12, 13, 14, 15],
+  #      [16, 17, 18, 19, 20],
+  #      [21, 22, 23, 24, 25]])
+
+  # Write a code to slice this given array
+  ### Convert your output into list 
+  ### e.g return (arr).tolist()
+  # array([[ 2],
+  #      [ 7],
+  #      [12]])
+  array = arr[:3,1:2]
+  print("The array is: ")
+  print(array)
+
+  print("The output list is: ")
+  return (array).tolist()
+
+slices_2()
+
+def slices_3():
+
+  # This is a given array
+  arr = np.arange(1,26).reshape(5,5)
+  # array([[ 1,  2,  3,  4,  5],
+  #      [ 6,  7,  8,  9, 10],
+  #      [11, 12, 13, 14, 15],
+  #      [16, 17, 18, 19, 20],
+  #      [21, 22, 23, 24, 25]])
+
+  # Write a code to slice this given array
+  ### Convert your output into list 
+  ### e.g return (arr).tolist()
+  # array([[16, 17, 18, 19, 20],
+  #      [21, 22, 23, 24, 25]])
+  array = arr[3:5,:]
+  print("The sliced array is: ")
+  print(array)
+  print("The output list is: ")
+
+  return (array).tolist()
+
+slices_3()