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.
The very first thing that we should select if we are using an address Block or Greeting Line is to Start Mail Merge. The second step would be to Edit Recipient List. In the Mail Merge Recipients dialog box, we then select the recipient whose record is to be included in the merge.
The answer to this question is the Mainframe Computer.
Mainframe computers are used by large businesses, and government agencies
because this computer can store large data and information. Mainframe basically
known as a large cabinet because of its size and the frame stores the Central
processing unit of the computer.