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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

Summary

Even if there is no formal SDLC in place, a lot of the information that would come out of one is still useful for developers. Providing developers with ready access to detailed and accurate information, particularly the pre-development phase concepts and requirements, can make the difference between a project just being programmed and being well-engineered software. Ideally, developers will need to know:

  • How is the system supposed to be distributed and installed so that they can plan around those needs, writing code to facilitate them as required?
  • What kind of information is needed for post-development activities to provide the relevant documentation or write code to facilitate common or expected tasks?
  • What should happen when the system is finally shut down for good so that they can plan and document accordingly?

Another significant contributor to making that difference is the availability of similar information about the system itself, in...

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