Course Outline:

This course structure provides a comprehensive guide through Python programming, covering essential topics and ending with real-world applications and project development. The course can be delivered over several weeks, with hands-on exercises and assignments to reinforce learning.

Module 1: Introduction to Python

1. 1. What is Python?
      • History and overview
      • Features of Python
      • Python’s role in modern software development
   2. Setting up the Python environment
      • Installing Python and IDE (e.g., VS Code, PyCharm)
      • Introduction to the Python Shell/Interpreter
      • Running Python programs
   3. First Python Program
      • “Hello, World!” program
      • Syntax and structure of Python code
      • Writing and executing Python scripts
   4. Basic Data Types
      • Integers, floats, and strings
      • Type conversion
      • Variables and assignment

Module 2: Control Flow and Loops

1. 1. Conditional Statements
      • if, elif, else statements
      • Comparison operators
      • Logical operators
   2. Loops
      • for loop
      • while loop
      • break and continue statements
   3. Nested Loops and Conditionals
      • Combining loops and if statements
      • Practical examples (e.g., number guessing game)

Module 3: Functions and Modules

1. 1. Functions in Python
      • Defining and calling functions
      • Function arguments and return values
      • Scope and lifetime of variables
   2. Lambda Functions
      • Syntax of lambda expressions
      • Using lambda functions with map(), filter(), and reduce()
   3. Modules and Packages
      • Importing modules
      • Python Standard Library overview
      • Installing and using external libraries with pip
      • Writing your own modules

Module 4: Data Structures in Python

1. 1. Lists
      • Creating, accessing, and modifying lists
      • List methods and operations (append, remove, sort, etc.)
      • Nested lists
   2. Tuples
      • Tuple creation and immutability
      • Tuple methods and use cases
   3. Dictionaries
      • Key-value pairs
      • Adding, removing, and modifying dictionary entries
      • Iterating through dictionaries
   4. Sets
      • Set operations (union, intersection, difference)
      • Set methods and uniqueness
   5. List Comprehensions
      • Introduction to list comprehensions
      • Advanced usage (nested comprehensions)

Module 5: Object-Oriented Programming (OOP)

1. 1. Introduction to OOP
      • What is OOP?
      • Key concepts: Class, Object, Method, Attribute
   2. Creating Classes and Objects
      • Defining a class and creating objects
      • Instance variables and methods
   3. Inheritance
      • Base classes and derived classes
      • Overriding methods
   4. Polymorphism
      • Method overriding and method overloading
   5. Encapsulation
      • Private and public attributes
      • Getters and setters
   6. Abstraction
      • Abstract classes and methods
      • Practical use cases of OOP in Python

Module 6: File Handling

1. 1. Reading and Writing Files
      • Opening, reading, and writing to files
      • File modes (r, w, a, etc.)
      • Using with statement for file handling
   2. Working with CSV Files
      • Reading and writing CSV data
      • Using the csv module
   3. Working with JSON Files
      • Reading and writing JSON data
      • Using the json module

Module 7: Error Handling and Debugging

1. 1. Exceptions in Python
      • What are exceptions?
      • Try, except, else, and finally blocks
   2. Common Python Errors
      • Syntax, runtime, and logical errors
      • Debugging techniques
   3. Custom Exceptions
      • Creating custom exceptions for error handling

Module 10: Mini Project & Exercises

• • • Implementing small coding projects to reinforce learning
    • Solving programming exercises and challenges
    • Applying learned concepts to solve practical problems
    • Reviewing and discussing code to improve coding skills