Advertisements
Advertisements
Write one difference between CSV and text files.
Concept: Types of Files in Python
Write a program in Python that defines and calls the following use of defined functions:
COURIER_ADD()
: It takes the values from the user and adds the details to a CSV file 'courier.csv
’. Each record consists of a list with field elements ascid
,s_name
,Source
,destination
to store Courier ID, Sender name, Source, and destination address, respectively.COURIER SEARCH()
: Takes the destination as the input and displays all the courier records going to that destination.
Concept: Opening and Closing a CSV File in Python
Why it is important to close a file before exiting?
Concept: Opening and Closing a CSV File in Python
Which of the following functions changes the position of file pointer and returns its new position?
Concept: Setting Offsets in a File
Write a function, lenWords(STRING), that takes a string as an argument and returns a tuple containing length of each word of a string.
For example, if the string is "Come let us have some fun", the tuple will have (4, 3, 2, 4, 4, 3)
Concept: Reading from a Text File
Write a function in Python to read a text file, Alpha.txt and displays those lines which begin with the word ‘You’.
Concept: Reading from a Text File
Write a function, vowelCount() in Python that counts and displays the number of vowels in the text file named Poem.txt.
Concept: Reading from a Text File
Select the correct output of the code:
S="Amrit Mahotsav @ 75"
A=S.partition (" ")
print(a)
Concept: Read and Write a CSV File Using Python
Differentiate between r+ and w+ file modes in Python.
Concept: Text File Open Modes
Consider a file, SPORT.DAT, containing records of the following structure:
[SportName, TeamName, No_Players]
Write a function, copyData(), that reads contents from the file SPORT.DAT and copies the records with Sport name as “Basket Ball” to the file named BASKET.DAT. The function should return the total number of records copied to the file BASKET.DAT.
Concept: The Pickle Module
A Binary file, CINEMA.DAT has the following structure:
{MNO:[MNAME, MTYPE]}
Where
- MNO - Movie Number
- MNAME - Movie Name
- MTYPE is Movie Type
Write a user defined function, findType(mtype), that accepts mtype as parameter and displays all the records from the binary file CINEMA.DAT, that have the value of Movie Type as mtype.
Concept: The Pickle Module
Vedansh is a Python programmer working in a school. For the Annual Sports Event, he has created a csv file named Result.csv, to store the results of students in different sports events. The structure of
Result.csv is:
[St_Id, St_Name, Game_Name, Result]
Where
St_Id is Student ID (integer)
ST_name is Student Name (string)
Game_Name is name of game in which student is participating(string). Result is result of the game whose value can be either 'Won', 'Lost' or 'Tie'.
For efficiently maintaining data of the event, Vedansh wants to write the following user defined functions:
Accept() - to accept a record from the user and add it to the file
Result.csv. The column headings should also be added on top of the csv file.
wonCount() - to count the number of students who have won any event.
As a Python expert, help him complete the task.
Concept: Read and Write a CSV File Using Python
How are text files different from binary files?
Concept: Types of Files in Python
How are text files different from binary files?
Concept: Types of Files in Python
Observe the following tables VIDEO and MEMBER carefully and write the name of the RDBMS operation out of (i) SELECTION (ii) PROJECTION (iii) UNION (iv) CARTESIAN PRODUCT, which has been used to produce the output as shown below. Also, find the
Degree and Cardinality of the final result.
TABLE: VlDEO
VNO | VNAME | TYPE |
F101 | The Last Battle | Fiction |
C101 | Angels and Devils | Comedy |
A102 | Daredevils | Adventure |
TABLE: MEMBER
MNO | MNAME |
M101 | Namish Gupta |
M102 | Sana Sheikh |
M103 | Lara James |
TABLE: FINAL RESULT
VNO | VNAME | TYPE | MNO | MNAME |
F101 | The Last Battle | Fiction | M101 | Namish Gupta |
F101 | The Last Battle | Fiction | M102 | Sana Sheikh |
F101 | The Last Battle | Fiction | M103 | Lara James |
C101 | Angels and Devils | Comedy | M101 | Namish Gupta |
C101 | Angels and Devils | Comedy | M102 | Sana Sheikh |
C101 | Angels and Devils | Comedy | M103 | Lara James |
A102 | Daredevils | Adventure | M101 | Namish Gupta |
A102 | Daredevils | Adventure | M102 | Sana Sheikh |
A102 | Daredevils | Adventure | M103 | Lara James |
Concept: Relational Data Model
Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii) which are based on the table.
TABLE: Account
ANO | ANAME | ADDRESS |
101 | Nirja Singh | Bangalore |
102 | Rohan Gupta | Chennai |
103 | Ali Reza | Hyderabad |
104 | Rishabh Jain | Chennai |
105 | Simran Kaur | Chandigarh |
TABLE: TRANSACT
TRNO | ANO | AMOUNT | TYPE | DOT |
T001 | 101 | 2500 | Withdraw | 2017-12-21 |
T002 | 103 | 3000 | Deposit | 2017-06-01 |
T003 | 102 | 2000 | Withdraw | 2017-0S-12 |
T004 | 103 | 1000 | Deposit | 2017-10-22 |
T005 | 101 | 12000 | Deposit | 2017-11-06 |
1) To display details of all transaction of TYPE Depos1t from Table TRANSACT.
2) To display the ANO and AMOUNT of all Depos1ts and Withdrawals done in the month of October 2017 from table TRANSACT.
3) To display the last date of the transaction (DOT) from the table TRANSACT for the Accounts having ANO as 103
4) To display all ANO, ANAME and DOT of those persons from tables ACCOUNT and TRANSACT who have done transactions less than or equal to 3000?
5) SELECT ANO, ANAME FROM ACCOUNT WHERE ADDRESS NOT IN ('CHENNAI', 'BANGALORE');
6) SELECT DISTINCT ANO FROM TRANSACT
7) SELECT ANO, COUNT(*), MIN(AMOUNT) FROM TRANSACT GROUP BY AND HAVING COUNT(*) > 1;
8) SELECT COUNT(*), SUM(AMOUNT) FROM TRANSACT WHERE DOT <= '2017-06-01'
Concept: Structured Query Language Advantages of Using SQL
Observe the following table MEMBER carefully and write the name of the RDBMS operation out of (i) SELECTION (ii) PROJECTION (iii) UNION (iv) CARTESIAN PRODUCT, which has been used to produce the output as shown in RESULT. Also, find the Degree and Cardinality of the RESULT :
MEMBER
NO | MNAME | STREAM |
M001 | JAYA | SCIENCE |
M002 | ADITYA | HUMANITIES |
M003 | HANSRAJ | SCIENCE |
M004 | SHIVAK | COMMERCE |
RESULT
NO | MNAME | STREAM |
M002 | ADI'l'YA | HUMANITIES |
Concept: Structured Query Language Advantages of Using SQL
Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii), which are based on the tables.
DVD
DCODE | DTITLE | DTYPE |
F101 | Henry Martin | Folk |
C102 | Dhrupad | Classical |
C101 | The Planets | Classical |
F102 | Universal Soldier | Folk |
R102 | A day in life | Rock |
MEMBER
MID | NAME | DCODE | ISSUEDATE |
101 | AGAM SINGH | R102 | 2017-11-30 |
103 | ARTH JOSEPH | F102 | 2016-12-13 |
102 | NISHA HANS | C101 | 2017-07- 24 |
1) To display all details from the table MEMBER in descending order of ISSUEDATE
2) To display the DCODE and DTITLE of all Folk Type DVDs from the table DVD.
3) To display the DTYPE and number of DVDs in each DTYPE from the table DVD.
4) To display all NAME and ISSUEDATE of those members from the table. MEMBER who have DVDs issued (i.e., ISSUEDATE) in the year 2017
5) SELECT MIN(ISSUEDATE) FROM MEMBER
6) SELECT DISTINCT DTYPE FROM DVD;
7) SELECT D.DCODE, NAME, DTITLE FROM DVD D, MEMBER M WHERE D.DCODE=M.DCODE;
8) SELECT DTITLE FROM DVD WHERE DTYPE NOT IN ("Folk", "Classical" ) ;
Concept: Structured Query Language Advantages of Using SQL
Consider the following DEPT and EMPLOYEE tables. Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii).
Table: DEPT
DCODE | DEPARTMENT | LOCATION |
D01 | INFRASTRUCTURE | DELHI |
D02 | MARKETING | DELHI |
D03 | MEDIA | MUMBAI |
D04 | FINANCE | KOLKATA |
D05 | HUMAN RESOURCE | MUMBAI |
Table: EMPLOYEE
ENO | NAME | DOJ | DOB | GENDER | DCODE |
1001 | George K | 2013-09-02 | 1991-09-01 | MALE | D01 |
1002 | Ryma Sen | 2012-12-11 | 1990-12-15 | FEMALE | D03 |
1003 | Mohitesh | 2013-02-03 | 1987-09--04 | MALE | D05 |
1007 | Anil Jha | 2014-01-17 | 1984-10-19 | MALE | D04 |
1004 | Manila Sahai | 2012-12-09 | 1986-11-14 | FEMALE | D01 |
1005 | R SAHAY | 2013-11-18 | 1987-03-31 | MALE | D02 |
1006 | Jaya Priya | 2014-06-09 | 1985-06-23 | FEMALE | D05 |
Note: DOJ refers to the date of joining ·and DOB refers to the date of Birth of employees
1) To display Eno, Name, Gender from the table EMPLOYEE in ascending order of Eno.
2) To display the Name of all the MALE Employees from the table EMPLOYEE.
3) To display the Eno and Name of those employees from the table EMPLOYEE who are born between '1987-01-01' and '1991-12-01'.
4) To count and display FEMALE employees who have Joined after '1986-01-01'.
5) SELECT COUNT(*), DCODE FROM EMPLOYEE GROUP BY DCODE HAVING COUNT(*)>1;
6) SELECT DISTINCT DEPARTMENT FROM DEPT;
7) SELECT NAME, DEPARTMENT FROM EMPLOYEE E, DEPT D WHERE E.DCODE=D.DCODE AND EN0<1003;
8) SELECT MAX(DOJ), MIN(DOB) FROM EMPLOYEE;
Concept: Structured Query Language Advantages of Using SQL
The number of tuples in a relation is called ______.
Concept: Relational Data Model