Answer:
def leap_year(y):
if y % 4 == 0:
return 1
else:
return 0
def number_of_days(m,y):
if m == 2:
return 28 + leap_year(y)
elif m == 1 or m == 3 or m == 5 or m == 7 or m == 8 or m ==10 or m == 12:
return 31
elif m == 4 or m == 6 or m == 9 or m == 11:
return 30
def days(m,d):
if m == 1:
return 0 + d
if m == 2:
return 31 + d
if m == 3:
return 59 + d
if m == 4:
return 90 + d
if m == 5:
return 120 + d
if m == 6:
return 151 + d
if m == 7:
return 181 + d
if m == 8:
return 212 + d
if m == 9:
return 243 + d
if m == 10:
return 273 + d
if m == 11:
return 304 + d
if m == 12:
return 334 + d
def days_left(d,m,y):
if days(m,d) <= 60:
return 365 - days(m,d) + leap_year(y)
else:
return 365 - days(m,d)
print("Please enter a date")
day=int(input("Day: "))
month=int(input("Month: "))
year=int(input("Year: "))
choice=int(input("Menu:\n1) Calculate the number of days in the given month.\n2) Calculate the number of days left in the given year.\n"))
if choice == 1:
print(number_of_days(month, year))
if choice == 2:
print(days_left(day,month,year))
Explanation:
Hoped this helped
Answer: Depends on the power of the computer /computers and the UPS
Explanation: For someone who had a big connected network of computers and printers we would plug the computer or server into the UPS as well as the monitor and sometimes a printer sometimes the monitor was plugged into the wall
When you get a UPS you must plug it in for a certain time could be hours or even a day. A USP has a big battery in it and you must charge it (sometimes it comes semi-charged but you must plug it in to strengthen it. )
there are two connector wires that you affix to the battery and you must put a lot of strength into it to make it secure.
So in closing, you can get away with two like a desktop and a laptop.
Read your documentation that comes with the UPS
Answer:
Option B is the correct answer for the following question.
Explanation:
The following option is true because the pearsonr from scipy module is the method of the Python Programming Language in the submodule i.e., "scipy.stats" which print or return P-value for operating the hypothesis test for the value of correlation coefficient. So, that's why the following option is correct.
It is under the drawings group.
