Answer:
- def getLargest(number_list):
- new_list = []
-
- for x in number_list:
- if(isinstance(x, int)):
- new_list.append(x)
-
- largest = max(new_list)
-
- return largest
Explanation:
Firstly, create a function <em>getLargest()</em> that take one input parameter, <em>number_list</em>.
The function will filter out the float type number from the list by using <em>isinstance() </em>method (Line 5). This method will check if a current x value is an integer. If so, the x value will be added to <em>new_list</em>.
Next, use Python built-in <em>max</em> function to get the largest integer from the <em>new_list </em>and return it as output.
The item that you would most likely to keep in a database is a Payroll record. Payroll records are numbers and inputs/outputs of employees of a certain company. Numbers are easier to manipulate and easier to manage than statements, letters and addresses that are basically letters.
The benefits are that you don't have to worry if something breaks from like a water leake or a storm and get destroyed the home owners have to pay
The more the image resolution would be the more storage it needs. If you think about it when a website tries to load a large image it takes longer than loading a smaller one. Hence, if you have a slow telephone line and need your images to be displayed (loaded) faster, then you have to go with the smallest resolution (the smallest storage).
In a nutshell, your answer will be d) 320x240
Note: 320 x 240 is the dimensions of the image (width x height) and those numbers are measured in pixels which is the unit of measuring images, display screens,...etc. i.e. this image is 320 pixels in width and 240 pixels in height
