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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

Why use business objects?

For the purposes of this book, a business object is a representation of some logical grouping of data that is relevant to a product or service. That data is generally atomic, in that it cannot be broken apart without losing the meaning that it has in the context of the overall data structure. Business objects may be composed of other objects — an object representing a person might have one or more distinct mailing-address data structures associated with it; for example, a mailing address and a billing address, either of which might not be set. They might also have collections of other objects. An Order object might well be expected to have one or more Product objects associated with it.

If business objects are defined so that they validate their data — not just that a given object property name exists, but that it is of an accepted type, or even of an appropriate value — they make working with application data faster and more consistent...

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Hands-On Software Engineering with Python
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