Chapter 1: Python Fundamentals for AI¶

Build the Python foundation every AI practitioner needs.

Metadata¶

Learning Objectives¶

• Write Python code confidently for AI and data tasks
• Understand variables, data types, and control flow
• Use functions, modules, and comprehensions effectively
• Apply object-oriented programming basics
• Handle file I/O and work with external data
• Use decorators and Pythonic patterns

What's Included¶

Notebooks¶

Scripts¶

• Production-ready Python scripts for concepts covered

Exercises¶

• 6 exercises with solutions (in solutions/ branch)

SVG Diagrams¶

• 3 visual diagrams for key concepts

Read Online¶

You can read the full chapter content right here on the website:

• 01.1 Introduction -- Variables, types, strings, control flow, loops, comprehensions
• 01.2 Intermediate -- Collections, functions, error handling, modules, data pipelines
• 01.3 Advanced -- OOP, file I/O, generators, decorators, experiment tracker capstone

Or try the code in the Playground.

How to Use This Chapter¶

1. Clone and install dependencies

git clone https://github.com/luigipascal/berta-chapters.git
cd berta-chapters
pip install -r requirements.txt

2. Navigate to the chapter

cd chapters/chapter-01-python-fundamentals

3. Launch Jupyter

jupyter notebook notebooks/01_introduction.ipynb

Or use JupyterLab:

jupyter lab

Created by Luigi Pascal Rondanini | Generated by Berta AI