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Table: Bank
| AccNo | Cust_name | FD_Amount | Months | Int_Rate | FD_Date |
| 1001 | Arti Gupta | 30000 | 36 | 6.00 | 2018-07-01 |
| 1002 | Dilip Lal | 50000 | 48 | 6.75 | 2018-03-22 |
| 1003 | Navin Gupta | 30000 | 36 | NULL | 2018-03-01 |
| 1004 | D.P. Yadav | 80000 | 60 | 8.25 | 2017-06-12 |
| 1005 | Jyoti Sharma | 20000 | 36 | 6.50 | 2017-01-31 |
| 1006 | Rakesh Kumar | 70000 | 60 | 8.25 | 2018-06-15 |
| 1007 | K.D. Singh | 50000 | 48 | NULL | 2018-07-05 |
| 1008 | Anjali Sharma | 60000 | 48 | 6.75 | 2017-04-02 |
| 1009 | Swati Garg | 40000 | 42 | 6.50 | 2018-06-15 |
| 1010 | Rupinder Kaur | 25000 | 36 | 6.50 | 2018-09-27 |
Write SQL commands for the statements (a) to (g) on the table BANK
(a) To create the table Bank (Primary Key: AccNo)
(b) Display the structure of the table Bank.
(c) Display the details of all the bank.
(d) Display the AccNo, Cust_Name, and FD_Amount.
(e) Display the details of all the FD’s having maturity time is less than 40 months.
(f) Display the AccNo and FD amount which started before 01-04-2018.
(g) Display details of all FD whose rate of interest are NULL.
Write the SQL query questions from (i) to (iv) and write the output of SQL command for questions from (v) to (vii) given below:
| EMPID | FIRST NAME | LAST NAME | ADDRESS | CITY |
| 010 | George | Smith | 83 First Street | Howard |
| 105 | Mary | Jones | 842 Vine Ave. | Losantiville |
| 152 | Sam | Tones | 33 Elm St. | Paris |
| 215 | Sarah | Ackerman | 440 U.S. 110 | Upton |
| 244 | Manila | Sengupta | 24 Friends Street | New Delhi |
| 300 | Robert | Samuel | 9 Fifth Cross | Washington |
| 335 | Henry | Williams | 12 Moore Street | Boston |
| 400 | Rachel | Lee | 121 Harrison St. | New York |
| 441 | Peter | Thompson | 11 Red Road | Paris |
Table: EMPSalary
| EMPID | SALARY | BENEFITS | DESIGNATION |
| 010 | 75000 | 15000 | Manager |
| 105 | 65000 | 15000 | Manager |
| 152 | 80000 | 25000 | Director |
| 215 | 75000 | 12500 | Manager |
| 244 | 50000 | 12000 | Clerk |
| 300 | 45000 | 10000 | Clerk |
| 355 | 40000 | 10000 | Clerk |
| 4000 | 32000 | 7500 | Salesman |
| 441 | 28000 | 7500 | Salesman |
Write the SQL commands for the following :
(i) To show firstname, lastname, address and city of all employees living in paris.
(ii) To display the content of Employees table in ascending order of Firstname.
(iii) To display the firstname,lastname and total salary of all managers from the tables employee and empsalary, where total salary is calculated as
salary+benefits.
(iv) To display the maximum salary among managers and clerks from the table Empsalary.
Give the Output of following SQL commands:
(v) Select firstname, salary from employees, empsalary where designation = ‘Salesman’ and Employees.
empid=Empsalary.empid;
(vi) Select count(distinct designation) from empsalary;
(vii) Select designation, sum(salary) from empsalary group by designation having count(*) >2;
(a) # Line 1 : To open file POEM.txt in read mode
(b) # Line 2 : To check first character of every line is ‘W’ or ‘w’.
(c) # Line 3 : To increase the value of count by 1.
(d) # Line 4 : To call the function count_poem.
Table: Bank
| AccNo | Cust_name | FD_Amount | Months | Int_Rate | FD_Date |
| 1001 | Arti Gupta | 30000 | 36 | 6.00 | 2018-07-01 |
| 1002 | Dilip Lal | 50000 | 48 | 6.75 | 2018-03-22 |
| 1003 | Navin Gupta | 30000 | 36 | NULL | 2018-03-01 |
| 1004 | D.P. Yadav | 80000 | 60 | 8.25 | 2017-06-12 |
| 1005 | Jyoti Sharma | 20000 | 36 | 6.50 | 2017-01-31 |
| 1006 | Rakesh Kumar | 70000 | 60 | 8.25 | 2018-06-15 |
| 1007 | K.D. Singh | 50000 | 48 | NULL | 2018-07-05 |
| 1008 | Anjali Sharma | 60000 | 48 | 6.75 | 2017-04-02 |
| 1009 | Swati Garg | 40000 | 42 | 6.50 | 2018-06-15 |
| 1010 | Rupinder Kaur | 25000 | 36 | 6.50 | 2018-09-27 |
Write SQL commands for the statements (a) to (g) on the table BANK
(a) Display details of all the FD whose rate of interest is NOT NULL.
(b) Display amounts of various FD from the table Bank. An FD Amount should appear only once.
(c) Display the number of months of various loans from the table Bank. A month should appear only once.
(d) Display the Customer Name and FD Amount for all the Bank which do not have a number of months is 36.
(e) Display the Customer Name and FD Amount for which the FD amount is less than 500000 or int_rate is more than 7.
(f) Display the details of all FD which started in the year 2018.
(g) Display the details of all FD whose FD_Amount is in the range 40000 to 50000.
(i) To import the pandas
(ii) To create the series from the list
(iii) To print List.
(iv) To print the index of the series.
(v) To print the values of the series.