Answer:
import pandas as pd
# URL for university excel sheet( CSV format)
data_url = '' "
# Load the data from University URL
university = pd.read_csv(data_url)
# filter the data to contain universities from where more than 50 students out of the top 10% of their high school classes came
university_1 = university[universty.number>50 ]
n= len(university_1)
n1= (10 *n)/100
university_1.nlargest(n1, 'number')
print(university_1)
Explanation:
We are using here Pandas. And it is meant for reading from various data sources like Excel, Acess, SQL Server, etc. And first, we filter University with student number more than or equal to 50. Finally, with the nlargest, we find the top 10% of the list. And for running the above program we only need to add the URL of the university.csv. Nothing else is required. You can have the local file address as well if the CSV is on your computer.
Answer: option A. adjust the mouse's double-click speed.
You can see it in the attached file.
Electric switches are very important because all the equipment we are using is useless without a switch.
Answer:
D
Explanation:
It is D
Select the correct answer.
Identify the correct CSS syntax to link an external style sheet.
I believe photoshop since it has elements of productivity
