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Description
SESSION | NOVEMBER 2024 |
PROGRAM | BACHELOR OF COMPUTER APPLICATIONS (BCA) |
SEMESTER | 5 |
COURSE CODE & NAME | DCA3104 PYTHON PROGRAMMING |
Set-I
- a) Discuss different datatypes used in Python Programming.
- b) Explain the concept of operator precedence with example. 5+5
Ans 1.
- Different Datatypes Used in Python Programming
Python provides a variety of built-in datatypes that allow programmers to handle data efficiently and dynamically. The most common datatypes in Python include numbers, strings, lists, tuples, sets, and dictionaries.
Firstly, the numeric datatypes in Python include int, float, and complex. The int datatype represents integers such as 5, -20, or 1000, whereas the float datatype is used for decimal numbers like 3.14, -0.76, or 2.0. The complex datatype, such as 2+3j, represents numbers with real and imaginary components
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2.a) Discuss the use of else statement with for and while loop. Explain with an example.
- b) Explain the use of following string functions: – upper(), lower(), isdigit(), isalpha(), split(), join() with example.
Ans 2.
- Use of Else Statement with For and While Loop
The else statement in Python can be used with both for and while loops to execute a block of code after the loop has completed its iterations successfully. The else block is executed only if the loop is not terminated prematurely by a break statement.
In the case of a for loop, the else
3.a) How to delete an element from list? Explain different cases with examples.
- b) Explain differences between list, tuple, set and dictionary.
Ans 3.
- How to Delete an Element from a List?
Deleting an element from a list in Python can be done using various methods depending on the specific requirements, such as the position of the element, its value, or a general need to clear the list. Python provides several
Set-II
4.a) What is lambda function? Why is it used?
- b) Explain differences between remove(), discard( ) and pop( ) method for deleting elements from set. 5+5
Ans 4.
- Lambda Function
A lambda function in Python is a small, anonymous function defined using the lambda keyword. Unlike regular functions, which are defined using the def keyword, a lambda function can have only one expression. The syntax of a lambda function is:
lambda arguments: expression
The result of the expression is returned automatically. Lambda functions are often used when a function is needed temporarily for a short period, typically as an argument to another function, such as in map(), filter(), or reduce().
- What is exception handling? Write a Python program which would throw exception if the
value entered by user is less than zero or zero otherwise print it.
Ans 5.
Exception Handling
Exception handling in Python refers to the mechanism that allows a program to respond to unexpected situations, also called exceptions, during its execution. Exceptions are errors or events that interrupt the normal flow of a program. Common exceptions include division by zero, file not found, invalid input, or accessing an out-of-range index. Python uses the try, except, else, and finally blocks to
- a) Explain the use of pandas, NumPy and matplotlib libraries in detail.
- b) What are CRUD operations? 5+5
Ans 6.
- Use of Pandas, NumPy, and Matplotlib Libraries
Python provides several libraries for data manipulation, numerical computations, and data visualization. Among them, Pandas, NumPy, and Matplotlib are widely used.
- Pandas: Pandas is a powerful library for data manipulation and analysis. It provides two main data structures: DataFrame (2D) and Series (1D). Pandas allows importing, cleaning, and analyzing structured data