Overview of Python and its uses

Installing Python and setting up the environment

Python syntax, keywords, and basic programming constructs

Variables, data types, and basic operators

Input/Output operations, comments, and formatting strings

Conditional statements (if-else, nested conditionals)

Loops (for, while), break, continue statements

Defining and calling functions

Function parameters, return values, recursion

Lambda functions, built-in and custom modules

Lists, tuples, dictionaries, sets

List and dictionary comprehensions

Working with collections (namedtuple, deque, Counter)

Error types, try-except blocks, raising exceptions

Custom exception classes

Reading, writing, appending files

File modes, using with statement

Classes, objects, attributes, and methods

Inheritance, polymorphism, encapsulation

Iterators, generators, decorators

Regular expressions

Using NumPy, Pandas for data manipulation

Data visualization libraries (Matplotlib, Seaborn)

Web scraping, accessing APIs (REST)

Introduction to frameworks like Flask and Django

Routing, templates, building simple web applications

Real-world project development using Python concepts

Recap and preparation for advanced Python learning