Course Outline

🔹 Day 1: Python Fundamentals and Core Programming

Session 1: Getting Started with Python

• Installing Python and setting up the environment
• Python syntax, indentation, and comments
• Data types: integers, floats, strings, booleans

Session 2: Control Flow and Data Structures

• Conditional statements (if, elif, else)
• Loops: for, while, and loop control (break, continue)
• Lists, tuples, dictionaries, and sets: creation and manipulation

Session 3: Functions and Error Handling

• Defining and calling functions
• Function arguments, return values, and scope
• Basic exception handling with try-except

Lab Activities:

• Write programs using conditionals and loops
• Manipulate data structures with list comprehensions
• Create reusable functions and handle common errors

🔹 Day 2: Intermediate Python and Modular Programming

Session 1: File I/O and Modules

• Reading from and writing to files
• Working with CSV and JSON files
• Importing modules and creating your own modules

Session 2: Object-Oriented Programming (OOP)

• Classes, objects, and methods
• Constructors, instance variables, and self
• Inheritance, polymorphism, and encapsulation

Session 3: Working with Libraries and Virtual Environments

• Using pip to install packages
• Introduction to popular libraries: requests, datetime, math
• Managing environments with venv

Lab Activities:

• Build a program that reads/writes data files
• Create and use classes to model real-world entities
• Install and use external libraries in projects

🔹 Day 3: Advanced Python Concepts and Practical Applications

Session 1: Advanced Data Handling and Comprehensions

• List, dictionary, and set comprehensions
• Generators and iterators
• Lambda functions and higher-order functions (map, filter)

Session 2: Debugging, Testing, and Best Practices

• Debugging techniques and tools (pdb)
• Writing unit tests with unittest or pytest
• Code style (PEP8) and documentation practices

Session 3: Capstone Project: Real-World Python Application

• Build a command-line tool or small application
• Apply all learned concepts (file I/O, OOP, libraries)
• Code review and project presentation

Lab Activities:

• Implement generators and lambda-based functions
• Write and run unit tests for your code
• Complete and demonstrate the capstone project