Answer:
b. data entry slows as every INSERT , UPDATE, or DELETE statement must also update every index.
Explanation:
This process help to improve the speed of get data , it takes each element in the indexed column and save the location to get faster the data. But if you index every attribute in a table it going to take a lot of time locating each column in the respective index in each query(update, delete and insert). For that reason is necesary be carefull with this process and only put index in the relevant columns
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.
Explanation:
A computer is a machine that can be programmed to accept data (input), process it into useful information (output), and store it away (in a secondary storage device) for safekeeping or later reuse. The processing of input to output is directed by the software but performed by the hardware.
