Paperback. Build strong software engineering skills by applying proven design, development, testing, and deployment best practices through hands-on Python projects that reflect real-world production workflows.Key FeaturesUnderstand what makes Software Engineering a discipline, distinct from basic programmingGain practical insight into updating, refactoring, and scaling an existing Python systemImplement robust testing, CI/CD pipelines, and cloud-ready architecture decisionsBook DescriptionSoftware engineering is more than coding; its 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 todays Python ecosystem, this edition includes updated tooling, practices, and architectural patterns. Youll 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.Youll follow a complete redesign and refactor of a multi-tier system from the first edition, gaining insight into how software evolvesand 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.What you will learnDistinguish software engineering from general programmingBreak down and apply each phase of the SDLC to Python systemsCreate system models to plan architecture before writing codeApply Agile, Scrum, and other modern development methodologiesUse dataclasses, pydantic, and schemas for robust data modelingSet up CI/CD pipelines with GitHub Actions and cloud build toolsWrite and structure unit, integration, and end-to-end testsEvaluate and integrate tools like Poetry, pytest, and DockerWho this book is forThis book is for Python developers with a basic grasp of software development who want to grow into senior or staff-level engineering roles. Its ideal for professionals looking to deepen their understanding of software architecture, system modeling, testing strategies, and cloud-aware development. Familiarity with core Python programming is required, as the book focuses on applying engineering principles to maintain, extend, and modernize real-world systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Hands-On Software Engineering with Python (Paperback)
Publisher: Packt Publishing Limited, Birmingham
Publication Date: 2025
Language: English
ISBN 10: 1835888003
ISBN 13: 9781835888001
Binding: Paperback
Edition: 2nd Edition
Condition: new

About this title

Synopsis

Build strong software engineering skills by applying proven design, development, testing, and deployment best practices through hands-on Python projects that reflect real-world production workflows.

Key Features

Understand what makes Software Engineering a discipline, distinct from basic programming
Gain practical insight into updating, refactoring, and scaling an existing Python system
Implement robust testing, CI/CD pipelines, and cloud-ready architecture decisions

Book Description

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.

What you will learn

Distinguish software engineering from general programming
Break down and apply each phase of the SDLC to Python systems
Create system models to plan architecture before writing code
Apply Agile, Scrum, and other modern development methodologies
Use dataclasses, pydantic, and schemas for robust data modeling
Set up CI/CD pipelines with GitHub Actions and cloud build tools
Write and structure unit, integration, and end-to-end tests
Evaluate and integrate tools like Poetry, pytest, and Docker

Who this book is for

This book is for Python developers with a basic grasp of software development who want to grow into senior or staff-level engineering roles. It’s ideal for professionals looking to deepen their understanding of software architecture, system modeling, testing strategies, and cloud-aware development. Familiarity with core Python programming is required, as the book focuses on applying engineering principles to maintain, extend, and modernize real-world systems.

Introduction
Programming Versus Software Engineering Revisited
The Software Development Life Cycle
System Modeling
Methodologies, Paradigms, and Practices
Code Style and Related Standards
Functional Code Standards
Revisiting Development Tools
Revising the hms_sys System Project
Updating Projects and Processes
Re-Examining Options for Business Objects
Reviewing Business Object Data Persistence
Data Persistence and BaseDataObject
Testing the Business Objects
CI/CD Options
API Options
Assembling the API
The Final API, Deployed to AWS

About the Author

Brian Allbee has been a developer professionally for two decades. His experience includes web and system applications in several languages, for industries as varied as organization membership services, consumer health-care reporting, advertising, and cloud automation. He fell in love with Python just before 2.6 was available, and has focused his development efforts as much on Python as time and professional obligations allowed since then. He lives and codes in the Denver area.

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