Introduction to Python

Overview of Python and its Features

Python Installation and Setup (IDLE, Anaconda, Jupyter Notebook)

Running Python Programs

Python Syntax, Keywords, and Indentation

Input and Output in Python

Data Types and Variables

Comments and Documentation Strings

Decision-Making Statements (if, else if, elif)

Looping Constructs (for, while)

break, continue, and pass Statements

Introduction to List Comprehensions

Lists: Operations, Slicing, and Comprehensions

Tuples: Properties and Usage

Dictionaries: Keys, Values, and Dictionary Comprehensions

Sets and Frozen Sets

Strings and Common String Methods

Working with Nested Data Structures

Defining and Calling Functions

Parameters: Positional, Keyword, and Default Arguments

*args and **kwargs

Return Statement and Scope of Variables

Lambda Functions and Map, Filter, Reduce

Importing and Using Modules (Built-in and Custom)

Understanding the Python Standard Library

File Operations: Open, Read, Write, and Append

Working with Text and Binary Files

File Exceptions

Context Managers (with statement)

CSV File Handling

Python Exception Hierarchy

try, except, else, and finally

Raising Exceptions (raise)

Creating Custom Exceptions

Classes and Objects

Constructors (__init__)

Methods and self Parameter

Inheritance and Overriding

Polymorphism and Method Resolution Order (MRO)

Encapsulation and Data Hiding

Using super() and @classmethod/@staticmethod Decorators

NumPy: Arrays and Basic Operations

Pandas: DataFrames, Series, and File Operations

Matplotlib: Plotting Graphs and Visualizations

Seaborn: Advanced Data Visualizations

Scikit-Learn: Introduction to Machine Learning

Overview of Flask Framework

Creating Simple Web Applications

Routing, Templates, and Forms

Database Connectivity with Flask (SQLite/MySQL)

Introduction to Django Framework (Optional)

Working with SQLite and MySQL in Python

Executing SQL Queries from Python

Using ORMs like SQLAlchemy

Socket Programming Basics

Building Simple Client-Server Applications

HTTP Requests using requests Library

APIs: Consuming REST APIs using Python

Iterators and Generators

Decorators and Context Managers

Regular Expressions in Python

Multithreading and Multiprocessing

Working with DateTime and Time Libraries