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Chapter 5: Software Design & Best Practices

Write clean, maintainable code and design systems that scale—critical for AI and ML projects.

Metadata

Field Value
Track Foundation
Time 6 hours
Prerequisites Chapters 1–2 (Python Fundamentals, Data Structures)

Learning Objectives

  • Write clean, PEP 8–compliant code
  • Apply design patterns (MVC, factory, singleton, etc.)
  • Organize projects for maintainability
  • Write and run tests effectively
  • Use version control (Git) workflows
  • Debug and optimize code

What's Included

Notebooks

Notebook Description
01_introduction.ipynb Clean code, PEP 8, code organization
02_intermediate.ipynb Design patterns, SOLID principles
03_advanced.ipynb Project structure, testing, debugging

Scripts

  • Production-ready examples of design patterns
  • Testable code with dependency injection

Exercises

  • 5 exercises with solutions (in solutions/ branch)

SVG Diagrams

  • 3 visual diagrams for architecture and patterns

Read Online

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

  • 05.1 Introduction -- Clean code, PEP 8, DRY/KISS/YAGNI, refactoring
  • 05.2 Intermediate -- Design patterns (Factory, Strategy, Pipeline, Observer), testing
  • 05.3 Advanced -- Project structure, version control, logging, refactoring capstone

Or try the code in the Playground.

How to Use This Chapter

Quick Start

Follow these steps to get coding in minutes.

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-05-software-design

3. Launch Jupyter

jupyter notebook notebooks/01_introduction.ipynb

GitHub Folder

All chapter materials live in: chapters/chapter-05-software-design/

For ML Practitioners

This chapter covers testable ML code, including dependency injection for data and models.

Created by Luigi Pascal Rondanini | Generated by Berta AI