This small quiz is just for validating the concepts covered during the first week of our course. It's not something you can pass or fail. We use the results of this quiz to evaluate if we need to add more support sessions or improve any aspect of the course.
PLEASE, don't cheat. Make it honest. We'll never share the data with the rest of the class.
To complete this quiz, fork the repo, work on main.py and submit a Pull Request
What's the correct data type of the following values: True
, False
a) Integer
b) Boolean
c) String
d) Collection
What's the final result of the following operation:
result = True or ("" and False and []) or (1 and "hello world")
a) []
b) 1
c) True
d) False
e) "hello world"
IMPORTANT: Return the actual value as shown in the options. DO NOT surround it with quotes. Example, if you think that []
is the correct answer, you should put return []
, if you think True
is the correct answer, you should put return True
, or return 1
, etc. Again, DON'T use quotes, except if you choose the last option: return "hello world"
.
Write a function remove_Es
that receives a string and removes all the characters 'e'
or 'E'
. Example:
remove_Es('remoter') # 'rmotr'
remove_Es('eEe') # ''
remove_Es('abc') # 'abc'
Given the following two collections:
a_tuple = (19, 33, 12)
a_list = range(0, 10)
What's the final value of result
?
result = a_list[3**2 - 8] + a_list[-1] + a_tuple[2]
Write a function calculate_tax
that receives a number (income
) and calculates
how much of Federal taxes is due, according to the following table:
Income | Tax Percentage |
---|---|
<= $50,000 | 15% |
<= $75,000 | 25% |
<= $100,000 | 30% |
> $100,000 | 35% |
Example:
income = 30000 # $30,000 is less than $50,000
calculate_tax(income) # $30,000 * 0.15 = 4500 = $4,500
income = 80000 # $80,000 is more than $75,000 but less than $100,000
calculate_tax(income) # $80,000 * 0.30 = 24000 = $24,000
income = 210000 # $210,000 is more than $100,000
calculate_tax(income) # $210,000 * 0.35 = 73500 = $73,500
Write a function matrix_sum
that sums all the values in a square matrix.
Example:
m1 = [
[2, 9, 1],
[3, 1, 18],
[22, 8, 16]
]
m2 = [
[81, 29],
[31, 57]
]
matrix_sum(m1) # 80
matrix_sum(m2) # 198