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OOPS WITH PYTHON PROGRAMMING

By Ramya Categories: BCA
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About Course

 

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It was created by ***** van Rossum and first released in 1991. Python is designed to be easy to learn and use, making it a popular choice for beginners as well as experienced developers.

One of PythonÙs key features is its simple and clean syntax, which closely resembles the English language. This allows programmers to write fewer lines of code compared to other languages like C or Java. Python follows an indentation-based structure, which improves readability and enforces proper coding practices

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Course Content

UNIT I – Object-Oriented Programming Concepts
Programming Paradigms ൓ Need for Object Orientation ൓ OOP Principles: Abstraction, Encapsulation, Inheritance, Polymorphism ൓ Classes and Objects ൓ Message Passing ൓ Advantages and Applications of OOP ൓ Difference between Structured and OOP Approaches ൓ Real-time Examples.

UNIT II – Python Fundamentals
Introduction to Python – Features – Structure of a Python Program – Syntax, Indentation, and Comments – Variables and Data Types – Operators and Expressions – In******nd Output Functions – Type Conversion – Decision Making and Looping – Functions and Lambda Expressions – Scope of Variables – Recursion – Introduction to Python IDEs.

UNIT III – Object-Oriented Programming in Python
Classes and Objects ᎓ Constructors and Destructors ᎓ Instance and Class Variables ᎓ Instance, Class, and Static Methods ᎓ Data Hiding ᎓ Inheritance: Single, Multiple, Multilevel, Hierarchical ᎓ Method Overriding ᎓ Polymorphism and Operator Overloading ᎓ Abstract Classes and Interfaces (ABC module) ᎓ Composition vs Inheritance ᎓ Dunder (Magic) Methods.

UNIT IV – Advanced Python Programming
Exception Handling (try, except, else, finally, raise) – Built-in Exceptions – User- Defined Exceptions – File Handling: Text, Binary, and CSV Files – Modules and Packages – Python Standard Library – Iterators and Generators – Decorators – Command Line Arguments – Regular Expressions (re module) – Logging and Debugging.

UNIT V – Python for Application Development
Working with JSON, Pickle ᧓ Date and Time Handling ᧓ Virtual Environment and Package Management (pip) ᧓ Python Database Programming (SQLite/MySQL using sqlite3 and mysql.connector) ᧓ Introduction to GUI Programming (Tkinter) ᧓ Mul***hreading and Synchronization ᧓ Introduction to Web Programming (Flask Basics) ᧓ Performance Optimization and Code Documentation ᧓ Software Development using Python (Mini Project Outline).

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