Answer:
def prompt_number():
while True:
number = int(input("Enter a number: "))
if number >= 0:
break
return number
def compute_sum(n1, n2, n3):
total = n1 + n2 + n3
return total
n1 = prompt_number()
n2 = prompt_number()
n3 = prompt_number()
result = compute_sum(n1, n2, n3)
print(result)
Explanation:
Create a function named prompt_number that asks the user to enter a number until a positive number or 0 is entered and returns the number
Create a function named compute_sum that takes three numbers, sums them and returns the sum
Ask the user to enter three numbers, call the prompt_number() three times and assign the values
Calculate the the sum, call the compute_sum and pass the numbers as parameters
Print the result
Answer:
Swap daemon
Explanation:
Swap daemon manages the physical memory by moving process from physical memory to swap space when more physical memory is needed. The main function of the swap daemon is to monitor processes running on a computer to determine whether or not it requires to be swapped.
The physical memory of a computer system is known as random access memory (RAM).
A random access memory (RAM) can be defined as the internal hardware memory which allows data to be read and written (changed) in a computer.Basically, a random access memory (RAM) is used for temporarily storing data such as software programs, operating system (OS),machine code and working data (data in current use) so that they are easily and rapidly accessible to the central processing unit (CPU).
Additionally, RAM is a volatile memory because any data stored in it would be lost or erased once the computer is turned off. Thus, it can only retain data while the computer is turned on and as such is considered to be a short-term memory.
There are two (2) main types of random access memory (RAM) and these are;
1. Static Random Access Memory (SRAM).
2. Dynamic Random Access Memory (DRAM).
- Some things can be similar and still have some differences. The Hadoop ecosystem is known to be the add-ons that make the Hadoop framework more better for some particular big data needs and tastes.
The Hadoop ecosystem is made up of the open source projects and commercial tools that are often optimized to act on different kinds of work especially to big data. It is very flexible
The differences is that cluster is simply a combination of a lot of computers that is set up to work together as one system but a Hadoop cluster is a cluster of computers that is used only at Hadoop. Hadoop clusters are set up to analyze and storing large amounts of unstructured data only in a distributed file systems.
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