Answer:
Following are the program in the Python Programming Language.
#define function
def Transfer(S, T):
#set for loop
for i in range(len(S)):
#append in the list
T.append(S.pop())
#return the value of the list
return T
#set list type variable
S = ["a","b","c","d"]
#print the values of the list
print(S)
#set the list empty type variable
T=[]
#call the function
T = Transfer(S, T)
#print the value of T
print(T)
<u>Output:</u>
['a', 'b', 'c', 'd']
['d', 'c', 'b', 'a']
Explanation:
Here, we define the function "Transfer()" in which we pass two list type arguments "S" and "T".
- Set the for loop to append the values in the list.
- Then, we append the value of the variable "S" in the variable "T".
- Return the value of the list variable "T" and close the function.
- Then, set the list data type variable "S" and initialize the elements in it and print that variable.
- Finally, we set the empty list type variable "T" and store the return value of the function "Transfer()" in the variable "T" then, print the value of the variable "T".
Alt + Shift + M are the keyboard shortcuts to display the merge to printer dialog box.
Answer:
Check the explanation
Explanation:
Assuming Cust_code is unique for every customer.
Query :
SELECT * FROM CUSTOMER WHERE CUST_STATE= "AL" GROUP BY CUST_CODE HAVING LARGEST INVOICE = MAX(LARGEST INVOICE) OR (LARGEST INVOICE =0 and INV_DATE IS NULL);
Answer:
Mainframe Computer System
Explanation:
Mainframe systems or simply mainframes are computers used for critical application, bulk processing and transaction processing.
They are larger than the basic computers we find around. They are advantageous as they are able to process large data faster. For this reason, large institutions like banks tend to use them for processing of data because of the thousands of transactions they engage in.
They are capable of handling and processing very large amount of data quickly.
Examples of other large institutions that uses mainframe computers apart from Bank stated in the question are
1. Stock brokerage firms
2. Government agencies
3. Insurance agencies
4. Fortune 500 companies and so on.
