DBB1218 INTRODUCTION TO PYTHON JULY-AUGUST 2025

Description

SESSION	JUL-AUGUST 2025
PROGRAM	BACHELOR OF BUSINESS ADMINISTRATION (BBA)
SEMESTER	II
COURSE CODE & NAME	DBB1218 INTRODUCTION TO PYTHON

 

 

 

Assignment Set – 1

 

 

Q1. List and explain any five standard data types available in Python. 10        

Ans 1.

Python provides a rich set of built-in data types that allow programmers to store, manipulate, and process different kinds of values. These data types form the foundation of Python programming and help developers perform operations efficiently. Understanding data types is essential because Python is dynamically typed, meaning the type of a variable is determined at runtime.

Integer Data Type

The integer data type represents whole numbers without decimal points. Python allows

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Q2. Define a function in Python and explain the complete function call flow, detailing how control is transferred from the calling code to the function and back. 10   

Ans 2.

Function in Python

A function in Python is a reusable block of code designed to perform a specific task. It allows programmers to structure programs logically, avoid repetition, and enhance readability. Functions are defined using the def keyword, followed by the function name, parameters, and a block of code. They may or may not return values. Python also supports built-in functions

 

Q3. Explain the difference between break, continue, and pass statements in Python with examples. Also, describe the execution flow of an if-elif-else statement. 10

Ans 3.

Python provides control statements such as break, continue, and pass to manage the flow of loops and conditional structures. Each statement serves a different purpose and affects execution in unique ways. Understanding these statements is essential for writing efficient loop structures. Additionally, the if-elif-else statement is a key decision-making structure in Python that directs program flow based on conditions.

Break Statement

The break statement is used to immediately exit a loop. When Python encounters a break

 

 

Assignment Set – 2

 

 

Q4. What are tuples in Python, and how do they differ from lists in terms of mutability and performance? Also, how does slicing work in tuples? Write code to extract the middle three elements from a tuple of seven elements. 10   

Ans 4.

Tuples in Python, their difference from lists, slicing, and code example

In Python, tuples are one of the core sequence data types, similar to lists but with an important distinction: they are immutable. A tuple is an ordered collection of elements, enclosed in parentheses and separated by commas, such as (10, 20, 30). Tuples can store heterogeneous data types, just like lists, and support indexing, slicing, and iteration. However, their immutability and internal implementation give them different behavior and

 

 

Q5. Define Object-Oriented Programming. Explain its four foundational principles with suitable examples. Also, discuss the benefits of OOP in modern software development.

Ans 5.

Object-Oriented Programming, its four principles, examples, and benefits

Object-Oriented Programming

Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than functions and logic. An object is an instance of a class, combining data (attributes) and behavior (methods) in a single unit. OOP aims to model real-world entities and their interactions, making programs more modular, reusable, and easier to maintain. Python fully supports OOP, allowing developers to define classes, create objects,

 

 

Q6. Demonstrate any four popular libraries of python with suitable example. Also, explain the use of multiple except clauses in exception handling.10

Ans 6.

Four popular Python libraries with examples and multiple except clauses

Python’s power largely comes from its rich ecosystem of libraries that provide ready-made solutions for tasks such as mathematics, data analysis, visualization, web access, and more. Using libraries allows developers to write less code and focus on problem-solving rather than reinventing basic functionality. Alongside this, robust exception handling using multiple