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85 changes: 44 additions & 41 deletions Python_Exercises.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,103 +7,99 @@
def power(a,b):

# ** What is 7 to the power of 4?**

return None
return a**b



def split_str(s):

# ** Split this string:**
#
# s = "Hi there Sam!"
#
# **into a list. **

return None
#
s = "Hi there Sam!"
my_list=list(s.split())
return my_list


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.
return "The diameter of {} is {} kilometers.".format(planet,diameter)

return None



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']}]}]}

d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
return d['k1'][3]['tricky'][3]['target'][3]

return None


def subjective():

# ** What is the main difference between a tuple and a list? **
# Tuple is _______

return None
# Tuple is immutable whereas a list is mutable
return "immutable"




def domainGet(email):

# ** Create a function that grabs the email website domain from a string in the form: **
# **Create a function that grabs the email website domain from a string in the form: **
#
# 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 "dog" in st.lower()

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. **
count = 0
return len(st.lower().split("dog"))-1

return None



def lambdafunc(seq):

# ** 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']
seq = ['soup','dog','salad','cat','great']
a = []
return list(filter(lambda var:var[0]=='s',(seq)))
#
# **should be filtered down to:**
#
# ['soup','salad']

return None


def caught_speeding(speed, is_birthday):
Expand All @@ -114,8 +110,17 @@ 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. **
if (is_birthday):
limits =[65,85]
else:
limits =[60,80]

return None
if speed<=limits[0]:
return "No Ticket"
elif speed<=limits[1]:
return "Small Ticket"
else:
return "Big Ticket"


## Numpy Exercises
Expand All @@ -128,8 +133,8 @@ 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)



Expand All @@ -138,8 +143,8 @@ 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)
return list(arr)



Expand All @@ -148,9 +153,7 @@ 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

return np.arange(9).reshape(3,3).tolist()


def linear_space():
Expand All @@ -159,7 +162,7 @@ def linear_space():
### Convert your output into list
### e.g return list(arr)

return None
return list(np.linspace(0,1,20))



Expand All @@ -169,7 +172,7 @@ 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()



Expand All @@ -190,7 +193,7 @@ def slices_1():
# [17, 18, 19, 20],
# [22, 23, 24, 25]])

return None
return arr[2: ,1: ].tolist()



Expand All @@ -211,7 +214,7 @@ def slices_2():
# [ 7],
# [12]])

return None
return (arr[ :3,1:2].tolist())



Expand All @@ -225,13 +228,13 @@ def slices_3():
# [16, 17, 18, 19, 20],
# [21, 22, 23, 24, 25]])

# Write a code to slice this given array
# 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]])

return None
return arr[3: , ].tolist()


# Great job!