Answer:
The three fundamental principles underlying the use of mnemonics are imagination, association, and location.
Explanation:
Answer:
see explaination
Explanation:
import random
def number_guess(num):
n = random.randint(1, 100)
if num < n:
print(num, "is too low. Random number was " + str(n) + ".")
elif num > n:
print(num, "is too high. Random number was " + str(n) + ".")
else:
print(num, "is correct!")
if __name__ == '__main__':
# Use the seed 900 to get the same pseudo random numbers every time
random.seed(900)
# Convert the string tokens into integers
user_input = input()
tokens = user_input.split()
for token in tokens:
num = int(token)
number_guess(num)
Answer:
Priority programming is a process programming method based on priority. In this technique, the developer chooses the tasks to work according to priority, which is different from other types of programming, for example, a simple round-robin.
On UNIX and many other systems, higher priority values represent lower priority processes. Some of the systems, such as Windows, use the opposite convention: a higher number means a higher priority
<h3>Explanation:
</h3>
Priorities can be dynamic or static. Static priorities are assigned during creation, while dynamic priorities are assigned according to the behavior of the processes while they are in the system. To illustrate, the planner could favor intensive input / output (I / O) tasks, allowing expensive requests to be issued as soon as possible.
Priorities can be defined internally or externally. Internally defined priorities make use of a measurable amount to calculate the priority of a given process. On the contrary, external priorities are defined using criteria beyond the operating system (OS), which may include the importance of the process, the type and sum of the resources used for the use of the computer, user preferences , trade and other factors such as politics etc.
i hope this is right lol
