Examination Scheme

Theory : 02 Hours / Week
Practical : 02 Hours / Week

Credits :

• Theory : 02
• Practical : 02

CCE : 30 Marks
End – Semester : 70 Marks
Term Work : 25 Marks

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Insem

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Syllabus – PPS

Unit I: Problem Solving, Programming and Python Programming (04 Hours)

General Problem Solving Concepts:

• Problem solving in everyday life
• Types of problems
• Problem solving with computers
• Difficulties with problem solving
• Problem solving aspects
• Top-down design
• Problem solving strategies

Basics of Python Programming:

• Features of Python
• History and future of Python
• Programming paradigm
• Features of Object-Oriented Programming
• Applications of Python language

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Unit II: Advance Data Types and Decision Control Statements (04 Hours)

Advance Data Types:

• Tuples
• Lists
• Sets
• Dictionaries

Decision Control Statements:

• Decision control statements
• Selection / conditional branching statements
• if
• if–else
• nested if
• if–elif–else

Iterative Statements:

• while loop
• for loop
• Selecting appropriate loop
• Nested loops
• break
• continue
• pass
• else statement with loops

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Unit III: Functions and Strings (03 Hours)

Functions:

• Need for functions
• Function definition
• Function call
• Variable scope and lifetime
• Return statement
• Lambda (anonymous) functions
• Documentation strings
• Good programming practices

Modules and Packages:

• Introduction to modules
• Introduction to packages in Python
• Introduction to standard library modules

Strings and Operations:

• Concatenation
• Appending
• Multiplication
• String slicing
• String immutability
• String formatting operator
• Built-in string methods and functions
• Slice operation
• ord() and chr() functions
• in and not in operators
• Comparing strings
• Iterating strings
• String module

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Unit IV: File Handling and Dictionaries (04 Hours)

File Handling:

• Introduction to files
• File paths
• Types of files
• Opening and closing files
• Reading and writing files
• File positions
• Renaming and deleting files
• Directory methods

Dictionaries:

• Creating dictionaries
• Accessing elements
• Adding and updating values

Case Study:

• Study design
• Features
• Use of recent, popular, and efficient Python-based systems
• Excluded from theory examination

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Unit V: Object Oriented Programming (04 Hours)

Object-Oriented Concepts:

• Structured programming vs object-oriented programming
• Classes
• Objects
• Methods and message passing
• Inheritance
• Polymorphism
• Containership
• Reusability
• Delegation
• Data abstraction and encapsulation

Classes and Objects:

• Classes and objects
• self argument
• init() method
• Class variables
• Object variables
• del() method
• Public and private members
• Built-in functions to check attributes
• Get, set, and delete class attributes
• Garbage collection
• Class methods
• Static methods