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.
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Force:newtons
distance:meters
work:joules
power:either watts or horsepower
energy:joules
time:kiloseconds and milliseconds
Answer:
The different variable in C is 21213316700.
Explanation:
Given value:
Total value = letters + underscore value
Total value = 52 + 1
Total value =53
choice for first character = 53 letters +10 digits
first character = 63
choice for remaining characters
So,
Variable number With one 1 character = 53
Variable number With 2 character = 53 × 63
Variable number With 3 character = 53 × 63²
Variable number With 4 character = 53 × 63³
.
.
.
Variable number With 7 character = 
Total difference variable = 53 + 53 × 63+ 53 × 63²+ 53 × 63³+....+ 
Total difference variable = 53(1 + 63 + 63²+ 63³+ .... + )
Formula:
Total difference variable
