Day 2 - IAI 23

Day 2: Introduction to Python Programming

Today we will cover an introuduction to machine learning, a review of the basic mathematics for machine learning, and a crashcourse of the basic of Python Programming. Most of the modern Artificial Intelligence and Machine Learning tools are based on Python. Hence it is always a good idea to be proficient in Python before we delve into the theory of AI and ML.

Task	Source	Objective
Python Numbers	Numbers	Learn Python Numbers and Operations
Python Strings	Strings	Learn Python Strings and Strings Operations
Python Lists	Lists	Learn Python Lists and Lists Operations
Python Dictionaries	Dictionaries	Learn Python Dictionaries
Python Tuples and Sets	Tuples	Learn Python Tuples and Sets Manupilation
Python Conditional and Loops	Conditionals	Learn Python Conditional and Loops
Python Numpy	Numpy	Learn Python Numpy array Manupilation
Python OOP	OOP	Object Oriented Programming in Python
Python OOP Solution	OOP	Object Oriented Programming in Python

Resourse	Link	Description
Python Programming		Python Programming

Resourse	Link	Description
Python Programming		Review of Python Programming
Object Oriented Programming		Review of Object Oriented Programming
Numpy		Review of Numpy Programming

Reading

Chapter 3, 4 and 9

The Reading for today's lab is chapter 3, 4 and 9 of the course handbook.

Exercises

Chapter 3, 4 and 9

Examples and exercise of chapter 3, 4 and 9.