Answer: Cyber warfare is a real threat since being able to hack another computer especially a countries computer with lots of info in their weaknesses can lead to their downfall. Since they can even possibly if their skilled enough hack their entire data base system and leak it to the public and that wouldn't be good for them not in a single possible way. That's the reason it's dangerous not only that but also because they can access their servers; which can let them access anything online from the whole country including banking information military info which can let them know which area there gonna go to next equipment there gonna bring and where they're gonna launch missiles, bombs, even nukes if they decide to launch one. And being able to hijack the computer that launches the nukes can make the hacker launch the nuke to a different place or launch the nuke on the country trying to launch the nuke.
Explanation:
Answer:
Explanation:
The code does not fail on the first step since 1900 divided by 4 is actually 475 and has no remainder, meaning that it should return True. The code won't work because the if statements need to be nested in a different format. The correct algorithm would be the following, which can also be seen in the picture attached below that if we input 1900 it would output is not a leap year as it fails on the division by 400 which gives a remainder of 0.75
input_year = int(input())
if input_year % 4 == 0:
if input_year % 100 == 0:
if input_year % 400 == 0:
print(input_year, "is a leap year")
else:
print(input_year, "- not a leap year")
else:
print(input_year, "is a leap year")
else:
print(input_year, "- not a leap year")
Explanation:
Computational modeling is one of the areas of Computer Science that uses mathematical systems to perform multivariate statistical tests to solve highly complex problems in multidisciplinary areas, such as medicine, engineering, science, etc.
An example of the use of multivariate statistical tests is social development research in social science, which uses multiple variables to find more hypotheses and greater coverage between variables.
Multivariate statistical tests have the benefit of making research more effective and providing a more systematic and real view of the study.