Course Introduction
Overview of the course structure
Learning objectives and outcomes
Introduction to Python and its significance

Python Introduction
Basic syntax and structure of Python
Running Python scripts and using the interactive shell
Writing your first Python program

Data Types in Python
Understanding Python’s built-in data types
Working with numbers, strings, booleans and NoneType
Type conversions and basic operations

Flow of Control
Conditional statements: `if`, `elif`, and `else`
Loops: `for` and `while`
Controlling loop execution with `break`, `continue`, and `else`

Container Types
Advanced data structures in Python
Working with tuples, lists, sets, and dictionaries
Performing basic data analysis

Functions
Defining and calling functions
Function arguments, return values, and scope

Further Functions
Lambda functions and functional programming concepts
Understanding and using list comprehensions
Practical examples and use cases

Classes and Object-Oriented Programming
Introduction to classes and objects
Defining classes and creating instances
Understanding `self`, constructors, and methods

Modules
Organizing code into modules
Importing and using Python’s standard and third-party libraries
Best practices for module design and usage

Error Handling
Exception handling in Python with `try`, `except`, `finally`
Raising exceptions and custom exception classes
Debugging and error management strategies

Testing
Writing tests in Python using `pytest`
Test-driven development (TDD) principles
Mocking and coverage analysis

File Handling & APIs
Reading from and writing to files
Working with JSON data
Fetching live data from a web API