This repository provides the official code examples for the book "Grokking Artificial Intelligence Algorithms" by Rishal Hurbans. It serves as a practical, code-driven reference for implementing AI algorithms discussed in the book, targeting developers and students seeking a deeper technical understanding of AI concepts through Python implementations.

How It Works

The repository contains Python code examples that directly correspond to the algorithms detailed in the book. Each implementation aims to offer a clear, runnable demonstration of the theoretical concepts, facilitating a hands-on learning experience for readers. The approach focuses on practical application rather than abstract theory.

Quick Start & Requirements

• Install: pip3 install -r requirements.txt
• Prerequisites: Python 3.7.0+, Pip3 (installable via apt or yum on Linux).
• Setup: Clone the repository, navigate to the directory, and install dependencies. Run examples with python3 <file_name.py>.
• Docs: Manning Publications

Highlighted Details

• Official code companion to the Manning publication "Grokking Artificial Intelligence Algorithms."
• Practical, runnable Python implementations of AI algorithms.
• Designed for a deeper technical understanding alongside book study.

Maintenance & Community

No specific community channels or maintenance details are provided in the README. The project is tied to the book's publication.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is not addressed.

Limitations & Caveats

The code is intended as a companion to the book; standalone utility without prior knowledge of the book's content may be limited. No information on testing, versioning, or ongoing maintenance is available.