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Quantoxhead's Python_Exercises.py #131

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177 changes: 87 additions & 90 deletions Python_Exercises.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,173 +3,170 @@

# Answer the questions or complete the tasks outlined in bold below.


#Q1
def power(a,b):

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

# take input 'a' and 'b' where 'a' is the number and 'b' is it's power
c = a**b
print(c)

return None



#Q2
def split_str(s):

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

return None
#.split() splits a string into a list
print(s.split())

return None

#Q3
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.

return None
# .format() replaces '{}' with another word/number
str = "The diameter of {planet} is {diameter} kilometers.".format(planet = a, diameter = b)
print(str)

return None


#Q4
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]
print(lst[3][1][2][0])

return None


#Q5
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']}]}]}
print(d['k1'][3]['tricky'][3]['target'][3])


return None


#Q6
def subjective():

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

return None
# A Tuple is just like a list except that it's contents can not be changed, whereas a list's contents can be changed.

return "A tuple is immutable"



#Q7
def domainGet(email):

# ** Create a function that grabs the email website domain from a string in the form: **
#
# [email protected]
#
# **So for example, passing "[email protected]" would return: domain.com**

email.split("@")
return None


#Q8
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. **

# removing punctuations from the string
puncs = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
for e in st:
if e in puncs:
st = st.replace(e,"")

list = st.split()
if "dog" in list:
bool = True
else:
bool = False

if bool == True:
a = "Given string contains the word 'dog'."
else:
a = "Given string does not contains the word 'dog'."

print(a)
return None


#Q9
def countDog(st):

# ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **

# removing punctuations from the string
puncs = '''!()-[]{};:'"\,<>./?@#$%^&*_~'''
for e in st:
if e in puncs:
st = st.replace(e,"")

list = st.split()
count = list.count("dog")
print(count)
return None



#Q10
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']
#
# **should be filtered down to:**
#
# ['soup','salad']

print(list(filter(lambda element: element[0] == 's', l)))

return None


#Q11
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
# cases. **

if bday == True:
if speed <= 65:
a = "No ticket"
elif speed > 65 and speed <=85:
a = "Small Ticket"
elif speed > 85:
a = "Big ticket"
else:
if speed <= 60:
a = "No ticket"
elif speed > 60 and speed <=80:
a = "Small Ticket"
elif speed > 80:
a = "Big ticket"

print(a)
return None


## Numpy Exercises

import numpy as np


#Q11
def create_arr_of_fives():

#### Create an array of 10 fives
#### Convert your output into list
#### e.g return list(arr)

return None

matrix = np.ones(10)*5
return list(matrix)


#Q12
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

matrix = np.arrange(10,51,2)
return list(matrix)


#Q13
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

matrix = np.arrange(0,9).reshape(3,3)
return (matrix).tolist()


#Q14
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)

return None

matrix = np.linspace(0,1,20)
return list(matrix)


#Q15
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
matrix = np.around(np.linspace(0.01,1,100),decimals = 2).reshape(10*10)
return (matrix).tolist()



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