Hands-On Software Engineering with Python, Second Edition

Writing Python code is only one part of building software that lasts. This second edition takes a broader engineering view, connecting programming decisions to system design, development processes, testing, deployment, and ongoing maintenance. For developers ready to think beyond individual functions and features, it offers a structured way to consider how real applications fit together—and how they change over time.

Think beyond the code

Brian Allbee begins by distinguishing general programming from software engineering, then places that distinction in the context of engineering roles, project goals, standards, and the full system. The emphasis is on asking not only how to implement a requirement, but also how a decision affects the application around it.

Follow the life of a software system

The book maps the software development life cycle from initial concept and requirements through architecture, development, testing, implementation, maintenance, and decommissioning. System-modeling chapters examine logical and physical architecture, use cases, data structures and flows, and communication between processes—helpful foundations for thinking through scope before implementation.

Connect methods with practical engineering choices

Waterfall, Agile, Scrum, and Kanban are considered as approaches to organizing development work. Later chapters turn to data modeling and persistence, testing, CI/CD, API design, and cloud deployment. A continuing redesign and refactoring example shows how architecture and implementation decisions can be revisited as a system evolves.

Python practice in a changing landscape

The second edition discusses Python’s development across recent versions, AI’s impact on software engineering, and tools and techniques used in current Python projects, including pytest, Poetry, GitHub Actions, and cloud-oriented practices. It also introduces high-performance computing in Python.

Who will find it useful?

This book is intended for readers who already have a basic grasp of Python and software development. It will be particularly relevant to developers who want to strengthen their understanding of architecture, system modeling, testing strategy, and the practical work of maintaining and extending applications.