Week 2: Python Fundamentals for AI

Day 1: Setting up Python environment (Anaconda, Jupyter Notebook)

• Installing Anaconda Python distribution
• Introduction to Jupyter Notebook
• Creating and organizing Jupyter Notebooks
• Essential Jupyter Notebook tips and tricks

Day 2: Python syntax, variables, and data types

• Basic Python syntax: indentation, comments, and statements
• Variables: assignment, naming conventions, and scope
• Data types: integers, floats, strings, and booleans
• Type conversion and type checking

Day 3: Python control structures: loops and conditionals

• Conditional statements: if, elif, and else
• Comparison operators and logical operators
• Loops: for loop and while loop
• Loop control statements: break, continue, and else

Day 4: Functions, modules, and libraries

• Defining and calling functions
• Function arguments: positional, keyword, and default values
• Variable-length argument lists (*args and **kwargs)
• Importing modules and using built-in Python libraries