The data frame first_south is created using first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
<h3>How to create the data frame?</h3>
To do this, we make the following assumptions:
- The pandas module has been loaded as pd
- The dataset has also been loaded as titanic
When pclass column is 1.
This is represented as:
titanic['pclass']==1
When the passenger boards from Southampton.
This is represented as:
titanic['Embarked']=='S'
So, we have:
first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
Read more about data frames at:
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Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
Answer:
Written in Python
import math
principal = 8000
rate = 0.025
for i in range(1, 11):
amount = principal + principal * rate
principal = amount
print("Year "+str(i)+": "+str(round(amount,2)))
Explanation:
This line imports math library
import math
This line initializes principal amount to 8000
principal = 8000
This line initializes rate to 0.025
rate = 0.025
The following is an iteration from year 1 to 10
for i in range(1, 11):
This calculates the amount at the end of the year
amount = principal + principal * rate
This calculates the amount at the beginning of the next year
principal = amount
This prints the calculated amount
print("Year "+str(i)+": "+str(round(amount,2)))
