Coaxial cable<span>, or </span>coax<span> (pronounced </span><span>/<span>ˈkoʊ.æks</span>/</span><span>), is a type of </span>cable<span> that has an inner conductor surrounded by a tubular insulating layer, surrounded by a tubular conducting shield. Many coaxial cables also have an insulating outer sheath or jacket. The term </span>coaxial<span> comes from the inner conductor and the outer shield sharing a geometric axis. Coaxial cable was invented by English engineer and mathematician </span>Oliver Heaviside, who patented the design in 1880.[1]<span> Coaxial cable differs from other </span>shielded cable<span> used for carrying lower-frequency signals, in that the dimensions of the cable are controlled to give a precise, constant conductor spacing, which is needed for it to function efficiently as a </span>transmission line<span>.</span>
Answer:
The solution code is written in Python 3:
- num = 11
-
- while(num <=88):
- firstDigit = num // 10
- secondDigit = num % 10
-
- if(firstDigit == secondDigit):
- print(num)
-
- num += 1
Explanation:
Firstly, create a variable, num, to hold the starting value, 11 (Line 1)
Create a while loop and set the loop condition to continue the loop while num smaller or equal to 88 (Line 3).
Within the loop, we can use // to perform the floor division and get the first digit of the num. We use modulo operator % to get the second digit of the num. (Line 4 - 5)
If the firstDigit is equal to secondDigit, print the number (Line 7 -8). Lastly, increment the num by one and proceed to next iteration (Line 10).
Answer:
There will be 3 lines of data left
Explanation:
When you use "w" command it overwrites all lines that already exists, to avoid this use "a" instead to append lines of data onto the text file
a. A printout of all sales taken from the register at the end of the day Amazon providing you a list of products similar to others you've viewed
Explanation:
A recommendation engine is something which according to its user's preference provide them a list of similar objects. From various platforms according to its user's preference.
Similarly, Amazon shows you a variety of previous products which you have purchased. So, in this case option a is most appropriate. Here Amazon will first observe different sales trend from the register then as a recommendation engine it will provide you with a list of products similar to others you have viewed.
