Answer:
In a STAR TOPOLOGY network, each device on the network is attached to a central router. If the router fails, then the other devices will be unable to communicate, but if only one connected device fails, then all other devices will still be able to communicate.
Explanation:
In this type of topology all the computers are connected to a single router through a cable. This router is the central node and all others nodes are connected to the central node.
The primary feature of a digital video camera is to records video as digital signals. A digital video camera picture out as of live settings, encrypting it into information that can be definite or transcoded into electronic photographic media. A typical digital camera contains of a lens, image sensor, storing media and a number of other characteristics that can be also be initiated on other cameras such as scalable aperture, filters and flash. High feature images and digital video slides can be put in storage and replicated on a computer, CD or writable DVD or on the internet in deprived of any loss of quality.
You have to subtract the tax amount by the final amount then multiply the result by the percentage of tip that is based on the service that you received.
Answer:
To an official government website containing information relating to tours and events of the White House.
Explanation:
Hope this helps! :D
Answer:
Explanation:
The following is written in Python. It takes in a file, it then reads all of the elements in the file and adds them to a list called myList. Then it sorts the list and uses the elements in that list to calculate the median. Once the median is calculated it returns it to the user. The code has been tested and the output can be seen in the image below.
def find_median(file):
file = open(file, 'r')
mylist = []
for number in file:
mylist.append(int(number))
numOfElements = len(mylist)
mylist.sort()
print(mylist)
if numOfElements % 2 == 0:
m1 = numOfElements / 2
m2 = (numOfElements / 2) + 1
m1 = int(m1) - 1
m2 = int(m2) - 1
median = (mylist[m1] + mylist[m2]) / 2
else:
m = (numOfElements + 1) / 2
m = int(m) - 1
median = mylist[m]
return median
print("Median: " + str(find_median('file1.txt')))
