You cant "carry" a large amount on a credit card, as a credit card is for "borrowing money" and then paying it back at a later date. If you wanted to spend a large amount on a credit card, you would want to get a credit card with a high limit, meaning that you can spend more before you have to pay, as well as a low interest rate or an interest free period, so that you would pay closest to the money you previously spent instead of paying more in the form of interest.
Answer:
They are limited to 256 colors
Answer:
Explanation:
The following python code loops through each line within a file called text.txt and counts all the words, then it divides this count by the number of sentences in the text file. Finally, output the average number of words per sentence.
f = open("text.txt", "r")
all_words = 0
sentences = 0
for x in f:
list = x.split(' ')
all_words += len(list)
sentences += 1
average = all_words / sentences
print("There are an average of " + str(average.__round__()) + " words in each sentence.")
Answer:
The Following are the solution to this question:
Explanation:
In Option a:
In the point (i) 
is transitive, which means it converts one action to others object because if 
indicates 
. It's true by definition, that becomes valid. But if 
, which implies 
. it's a very essential component. If 
. They 
will also be 
.
In point (ii), The value of 
is convergent since the 
. It means they should be dual a and b constant variable, therefore 
could only be valid for the constant variable, that is 
.
In Option b:
In this algorithm, the input size value is equal to 1 object, and the value of A is a polynomial-time complexity, which is similar to its outcome that is 
. It is the outside there will be a loop(i) for n iterations, that is also encoded inside it, the for loop(j), which would be a loop
. All internal loops operate on a total number of 
generations and therefore the final time complexity is .
Answer:
Option C is the correct option.
Explanation:
Neural networks are the collection of algorithms that have been approximately patterned since the nervous system and intended to analyze patterns. They perceive neurological information through some form of device perception, marking, or basic input grouping.
So, It can analyze linear relationships only because they depend on the human mind to identify patterns.
