Python is known for its readability and simplicity. It has a clean and easy-to-understand syntax, making it an ideal language for beginners.

Python is a versatile language used in various domains, including web development, data science, artificial intelligence, machine learning, automation, scientific computing, and more. It can be applied to different types of projects and industries.

Python has a large and active community of developers. This means ample resources such as documentation, tutorials, forums, and libraries are available, making it easier to find help and solutions to problems.

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Syllabus

Syllabus we covered

Module 1

Introduction to Python

Introduction to Programming and Python
Basics of Python Programming

Module 2

Control Flow

Conditional Statements
Loops

Module 3

Data Structures

Lists
Tuples
Dictionaries
Sets

Module 4

Functions and Modules

Functions
Modules

Module 5

File Handling

Reading and Writing Files

Module 6

Exception Handling

Handling Exceptions

Module 7

Object-Oriented Programming

Classes and Objects
Inheritance and Polymorphism
Encapsulation and Abstraction

Module 8

Advanced Topics

Iterators and Generators
Decorators
Context Managers

Module 9

Working with Libraries and Frameworks

NumPy for Numerical Computing
Pandas for Data Analysis
Matplotlib for Data Visualization
Flask for Web Development

Module 10

Project Work

Final Project
Additional Resources
Practice Exercises
Quizzes and Assignments
Discussion Forums
Further Reading and References