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ASHA 777 [7]
3 years ago
6

Your customer wants to build a new computer and needs to make sure he orders the correct power supply for his machine. What shou

ld you tell him to check to make sure he orders the correct power supply?1. Wattage requirements2. Number of hard drives3. Video requirements4. Form factor
Computers and Technology
1 answer:
sattari [20]3 years ago
3 0

Answer:

1. Wattage

Explanation:

Based on the information provided within the question it can be said that in this scenario you need to tell him to check to make sure it has the correct amount of wattage that he needs for his components. The wattage is the amount of power that the power supply can hold in order to power all the components within the computer.

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#Write a function called "in_parentheses" that accepts a
zimovet [89]

Answer:

import regex as re

def in_parentheses(a_string):

   regeX = re.compile(".*?\((.*?)\)")

   result = re.findall(regeX, a_string)

   return str(result).replace("[","").replace("]","")

print("test 1: "+in_parentheses("Open ( only"))

print("test 2: "+in_parentheses("This is a sentence (words!)."))

8 0
3 years ago
11)When, if ever, will the geometric average return exceed the arithmetic average return for a given set of returns?A) When the
grigory [225]

Answer: E. Never

geometric average return can NEVER exceed the arithmetic average return for a given set of returns

Explanation:

The arithmetic average return is always higher than the other average return measure called the geometric average return. The arithmetic return ignores the compounding effect and order of returns and it is misleading when the investment returns are volatile.

Arithmetic returns are the everyday calculation of the average. You take the series of returns (in this case, annual figures), add them up, and then divide the total by the number of returns in the series. Geometric returns (also called compound returns) involve slightly more complicated maths.

6 0
2 years ago
What is the space complexity of the algorithm?ArithmeticSeries(list, listSize) { i = 0 arithmeticSum = 0 while (i < listSize)
blondinia [14]

Answer:

O(n) which is a linear space complexity

Explanation:

Space complexity is the amount of memory space needed for a program code to be executed and return results. Space complexity depends on the input space and the auxiliary space used by the algorithm.

The list or array is an integer array of 'n' items, with the memory size 4*n, which is the memory size of an integer multiplied by the number of items in the list. The listSize,  i, and arithmeticSum are all integers, the memory space is 4(3) = 12. The return statement passes the content of the arithmetic variable to another variable of space 4.

The total space complexity of the algorithm is "4n + 16" which is a linear space complexity.

7 0
2 years ago
Brock wants to use several images on his hiking blog. However, the images are making his pages load very slowly. Explain to Broc
attashe74 [19]
First brock has to make sure he has all the hiking gear, like a camel back, gloves, the right pair of shoes. and then if he wants to take pictures he should buy a go-pro so he doesn't really have to move will the go-pro will record or take pictures.
hope i helped 0-0 ;p
plz mark brainly
5 0
3 years ago
How can volunteering to help plan a fundraiser for your team or club be a way to develop your strengths?
marshall27 [118]
It can help you develop your leadership trait
5 0
3 years ago
Read 2 more answers
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