Answer:
<u>720</u> possible PIN can be generated.
Explanation:
To calculate different number of orders of digits to create password and PIN, we calculate permutation.
Permutation is a term that means the number of methods or ways in which different numbers, alphabets, characters and objects can arranged or organized. To calculate the permutation following formula will be used:
nPr = n!/(n-r)!
there P is permutation, n is number of digits that need to be organize, r is the size of subset (Number of digits a password contains)
So in question we need to calculate
P=?
where
n= 10 (0-9 means total 10 digits)
r= 3 (PIN Consist of three digits)
So by using formula
10P3 = 10!/(10-3)!
=10!/7!
= 10x9x8x7!/7!
= 10x9x8
= 720
Answer:
Non-Payload Bytes sent are 1476(total) - 393 (payload) = 1083 bytes
1083 (non-payload) out of 1476(total) is 73.37 %
Non-Hello bytes sent are 1476(total) - 53(hello payload) = 1425 bytes
1425(non-hello) out of 1476(total) is 96.54 %
Answer:
1.maayos
2. Lugar
3. mali
Explanation:
im correct if I'm rwong :-)
Answer:
import pandas as pd
df = pd.read_csv('nycHistPop_csv', skiprows=5)
NY_region = list(df.columns[1: -1])
select_region = input("Enter region: ")_capitalize()
if select_region in NY_region:
pass
else:
raise("Region must be in New york")
def pop(location):
# or used describe() to replace all like: print(df[location]_describe())
print(df[location]_min())
print(df[location]_max())
print(df[location]_mean())
print(df[location]_median())
print(df[location]_td())
pop(select_region)
Explanation:
Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.
The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.