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Hands-On Software Engineering with Python

Hands-On Software Engineering with Python - Second Edition

By : Brian Allbee
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Hands-On Software Engineering with Python

Hands-On Software Engineering with Python

By: Brian Allbee

Overview of this book

Software engineering is more than coding; it’s the strategic design and continuous improvement of systems that serve real-world needs. This newly updated second edition of Hands-On Software Engineering with Python expands on its foundational approach to help you grow into a senior or staff-level engineering role. Fully revised for today’s Python ecosystem, this edition includes updated tooling, practices, and architectural patterns. You’ll explore key changes across five minor Python versions, examine new features like dataclasses and type hinting, and evaluate modern tools such as Poetry, pytest, and GitHub Actions. A new chapter introduces high-performance computing in Python, and the entire development process is enhanced with cloud-readiness in mind. You’ll follow a complete redesign and refactor of a multi-tier system from the first edition, gaining insight into how software evolves—and what it takes to do that responsibly. From system modeling and SDLC phases to data persistence, testing, and CI/CD automation, each chapter builds your engineering mindset while updating your hands-on skills. By the end of this book, you'll have mastered modern Python software engineering practices and be equipped to revise and future-proof complex systems with confidence.
Table of Contents (22 chapters)
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21
Index

Code organization

The thought process behind deciding how to organize code depends heavily on recognizing how that code is going to be consumed and used. With that in mind, lets walk through the decision-making process for organizing code for a hypothetical company with several specific areas of functional focus (domains) that tie into one or more applications.

Domains, formal or otherwise

The term domains, as used here, does not necessarily mean that the company is following a Domain-Driven Design (DDD) paradigm, though in larger organizations that may well be a good fit. In this case, a domain is simply an area of functional focus, as noted. That might be a single software engineer or a team of several that are managing the code behind any number of these domains.

First, an assumption is made that all proprietary code is going to be deployed in some manner that allows access only to the engineering teams within the company. There are four functional domains...

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