Hands on Software Engineering Python by Brian Allbee (29 results)

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Paperback or Softback. Condition: New. Hands-On Software Engineering with Python. Book.

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Paperback. Condition: New. Learn how software engineering principles go beyond coding by applying them to a full-scale Python project. This updated edition guides you through refactoring, modeling, testing, and preparing systems for modern tools and cloud deployment.

Paperback or Softback. Condition: New. Hands-On Software Engineering with Python - Second Edition: Move beyond basic programming to design, maintain, and deploy extensible Python systems. Book.

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Paperback. Condition: New. Learn how software engineering principles go beyond coding by applying them to a full-scale Python project. This updated edition guides you through refactoring, modeling, testing, and preparing systems for modern tools and cloud deployment.

Paperback. Condition: New. Explore various verticals in software engineering through high-end systems using PythonKey FeaturesMaster the tools and techniques used in software engineeringEvaluates available database options and selects one for the final Central Office system-componentsExperience the iterations software go through and craft enterprise-grade systemsBook DescriptionSoftware Engineering is about more than just writing code-it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world-Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.What you will learnUnderstand what happens over the course of a system s life (SDLC)Establish what to expect from the pre-development life cycle stepsFind out how the development-specific phases of the SDLC affect developmentUncover what a real-world development process might be like, in an Agile wayFind out how to do more than just write the codeIdentify the existence of project-independent best practices and how to use themFind out how to design and implement a high-performance computing processWho this book is forHands-On Software Engineering with Python is for you if you are a developer having basic understanding of programming and its paradigms and want to skill up as a senior programmer. It is assumed that you have basic Python knowledge.

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Paperback. Condition: New. Learn how software engineering principles go beyond coding by applying them to a full-scale Python project. This updated edition guides you through refactoring, modeling, testing, and preparing systems for modern tools and cloud deployment.

Condition: New. Software Engineering includes soft skills. A developer requires awareness of how those skills, with their technical counterparts, mesh together through a project s life-cycle. This book walks you through that discovery, showing at each step of the way thr.

Paperback. Condition: New. Learn how software engineering principles go beyond coding by applying them to a full-scale Python project. This updated edition guides you through refactoring, modeling, testing, and preparing systems for modern tools and cloud deployment.

Paperback. Condition: New. Explore various verticals in software engineering through high-end systems using PythonKey FeaturesMaster the tools and techniques used in software engineeringEvaluates available database options and selects one for the final Central Office system-componentsExperience the iterations software go through and craft enterprise-grade systemsBook DescriptionSoftware Engineering is about more than just writing code-it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world-Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.What you will learnUnderstand what happens over the course of a system s life (SDLC)Establish what to expect from the pre-development life cycle stepsFind out how the development-specific phases of the SDLC affect developmentUncover what a real-world development process might be like, in an Agile wayFind out how to do more than just write the codeIdentify the existence of project-independent best practices and how to use themFind out how to design and implement a high-performance computing processWho this book is forHands-On Software Engineering with Python is for you if you are a developer having basic understanding of programming and its paradigms and want to skill up as a senior programmer. It is assumed that you have basic Python knowledge.

Paperback. Condition: new. 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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Paperback. Condition: new. Paperback. Grow your software engineering discipline, incorporating and mastering design, development, testing, and deployment best practices examples in a realistic Python project structure.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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. Hands-On Software Engineering with Python - Second Edition | Move beyond basic programming to design, maintain, and deploy extensible Python systems | Brian Allbee | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781835888001 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 decisionsBook 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 DockerWho 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.Table of Contents 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.

Taschenbuch. Condition: Neu. Hands-On Software Engineering with Python | Brian Allbee | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781788622011 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.