Clean Architecture With Python
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Clean Architecture With Python
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Author : Sam Keen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-06-20
Clean Architecture With Python written by Sam Keen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
Future-proof your Python projects by creating flexible code that adapts to changing requirements with the help of this hands-on guide to achieving Clean Architecture Key Features Learn Clean Architecture through a series of real-world, code-centric examples and exercises Optimize system componentization, significantly reducing maintenance burden and overall complexity Apply Clean Architecture concepts confidently to new Python projects and legacy code refactoring Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the rapidly evolving tech industry, software applications struggle to keep pace with changing business needs, leaving developers grappling with complex codebases that resist change, ultimately reducing productivity and increasing technical debt. Clean Architecture with Python offers a powerful approach to address these challenges. Drawing from his extensive experience architecting cloud-native systems, Sam Keen helps you transform complex architectural challenges into digestible, implementable solutions. This book teaches essential principles for effective development, emphasizing the Pythonic implementation of Clean Architecture. Through practical examples, you'll learn how to create modular, loosely coupled systems that are easy to understand, modify, and extend. The book covers key concepts such as the Dependency Rule, separation of concerns, and domain modeling, all tailored for Python development. By the end of this book, you'll be able to apply Clean Architecture principles effectively in your Python projects. Whether you're building new systems or managing existing ones, you'll have the skills to create more maintainable and adaptable applications. This approach will enhance your ability to respond to changing requirements, setting you up for long-term success in your development career.What you will learn Apply Clean Architecture principles idiomatically in Python Implement domain-driven design to isolate core business logic Apply SOLID principles in a Pythonic context to improve code quality Structure projects for maintainability and ease of modification Develop testing techniques for cleanly architected Python applications Refactor legacy Python code to adhere to Clean Architecture principles Design scalable APIs and web applications using Clean Architecture Who this book is for If you're a Python developer struggling with maintaining and extending complex codebases, this book is for you. It's ideal for intermediate developers looking to enhance their architectural skills as well as senior developers seeking to formalize their knowledge of Clean Architecture in Python. While beginners can benefit, prior experience with Python and object-oriented programming is recommended.
Clean Code In Python
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Author : Mariano Anaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-01-06
Clean Code In Python written by Mariano Anaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-06 with Computers categories.
Tackle inefficiencies and errors the Pythonic way Key Features Enhance your coding skills using the new features introduced in Python 3.9 Implement the refactoring techniques and SOLID principles in Python Apply microservices to your legacy systems by implementing practical techniques Book Description Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. The book discusses object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code. What you will learn Set up a productive development environment by leveraging automatic tools Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details Create advanced object-oriented designs using unique features of Python, such as descriptors Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design Create Python-specific solutions using decorators and descriptors Refactor code effectively with the help of unit tests Build the foundations for solid architecture with a clean code base as its cornerstone Who this book is for This book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming
Architecture Patterns With Python
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Author : Bob Gregory
language : en
Publisher:
Release Date : 2020
Architecture Patterns With Python written by Bob Gregory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Python (Computer program language) categories.
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity-and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design's distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices.
Clean Code In Python
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Author : Mariano Anaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-29
Clean Code In Python written by Mariano Anaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.
Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. What you will learn Set up tools to effectively work in a development environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python Who this book is for This book will appeal to team leads, software architects and senior software engineers who would like to work on their legacy systems to save cost and improve efficiency. A strong understanding of Programming is assumed.
Modern Python Architecture Building Clean Scalable Software Systems
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Author : Lian Zhou
language : en
Publisher: Independently Published
Release Date : 2025-11-24
Modern Python Architecture Building Clean Scalable Software Systems written by Lian Zhou and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-24 with Computers categories.
Modern Python applications demand more than clean syntax-they require strong architecture, predictable performance, and the ability to evolve without breaking. Modern Python Architecture gives developers, engineers, and technical leads the blueprint for designing robust, scalable, and maintainable systems using today's best engineering practices. This hands-on guide dives deep into architectural foundations, code organization, asynchronous design, modern API development, observability, testing strategies, and scalable deployment. You'll learn how to structure applications the way high-performance engineering teams do-using clean architecture patterns, dependency management, modular design, and cloud-native techniques that ensure your Python systems thrive in real-world production environments. Whether you're building microservices, distributed systems, or large enterprise applications, this book gives you the tools to think like a software architect and engineer Python solutions that last. What You Will Learn Structure Python projects for clarity, reusability, and long-term maintainability Apply clean architecture, SOLID principles, and modern design patterns Use async, multiprocessing, and concurrency for high-performance engineering Build scalable APIs and backend services with FastAPI and modern tooling Implement powerful testing strategies from unit to contract testing Add observability using logging, metrics, and distributed tracing Deploy Python applications using Docker, containers, and Kubernetes Design cloud-ready architectures for large-scale, production-level workloads Modern Python Architecture is the definitive guide for developers who want to level up from coding-into engineering high-quality software systems.
Clean Architecture
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Author : Robert C. Martin
language : en
Publisher: Prentice Hall
Release Date : 2017-09-12
Clean Architecture written by Robert C. Martin and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-12 with Computers categories.
Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”) By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them. Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects. Learn what software architects need to achieve–and core disciplines and practices for achieving it Master essential software design principles for addressing function, component separation, and data management See how programming paradigms impose discipline by restricting what developers can do Understand what’s critically important and what’s merely a “detail” Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications Define appropriate boundaries and layers, and organize components and services See why designs and architectures go wrong, and how to prevent (or fix) these failures Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs. Register your product for convenient access to downloads, updates, and/or corrections as they become available.
Architecture Patterns With Python
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Author : Harry Percival
language : en
Publisher: O'Reilly Media
Release Date : 2020-03-05
Architecture Patterns With Python written by Harry Percival and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-05 with Computers categories.
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices
Clean Code In Python
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-02-01
Clean Code In Python written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Business & Economics categories.
This book is ideal for Python Developers who want to write clean, sustainable, and maintainable code in real-world environments. You will learn the principles and practices that ensure readability, modularity, and performance with a focus on practical and professional application. Includes: • SOLID, DRY, and KISS principles with Python examples • Clear naming, modularization, and file organization • Creation of cohesive, readable, and reusable functions • Proper exception handling and continuous testability • Design patterns applicable to clean code writing • Essential tools: Black, Flake8, MyPy, isort, and CI/CD • Strategies for safe refactoring, collaboration, and effective Git usage Master clean code best practices and become a more efficient, valued developer ready to excel in Python projects of any scale. python, clean code, best practices, refactoring, automated testing, modularization, readability, design patterns, software quality, collaborative development
Clean Code In Python
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Author : DIEGO. RODRIGUES
language : en
Publisher: Independently Published
Release Date : 2025-02-09
Clean Code In Python written by DIEGO. RODRIGUES and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-09 with Computers categories.
Welcome to "CLEAN CODE IN PYTHON," the complete guide that will transform the way you write code, focusing on creating clearer, more readable, and sustainable solutions. Written by Diego Rodrigues, an author with extensive experience in technical publications, this book provides a practical and detailed approach to writing clean code in Python, one of the most popular and powerful programming languages in modern software development. This manual is ideal for developers who want to improve the quality and efficiency of their code by adopting coding practices that make maintenance easier, enhance readability, and reduce complexity. Throughout the chapters, you will learn the fundamental principles of clean code and how to apply them in daily Python development. The goal is to teach you how to write code that is not only functional but also easy to read, test, and modify, contributing to the software's longevity. The book's approach goes beyond traditional best practices by introducing essential concepts like SOLID, DRY (Don't Repeat Yourself), KISS (Keep It Simple, Stupid), and the importance of meaningful names for variables and functions. Additionally, the book also covers how to avoid common mistakes and anti-patterns that make code difficult to maintain and scale. If you are already a Python developer and want to improve your knowledge of writing clean code, or if you are just starting your journey in Python development, this book is designed to be accessible and progressive. Each chapter is carefully structured so you can clearly understand the techniques and principles, with practical examples that can be immediately applied to your projects. The importance of writing clean code goes beyond readability and aesthetics. It directly impacts development efficiency, facilitates teamwork, and contributes to the continuous maintenance and evolution of applications. By adopting these practices in your projects, you will be creating high-quality software, which not only benefits your career as a developer but also enhances the experience for end users. This book is an essential reference for anyone looking to transform the way they write Python code, improving both technical quality and the development experience.
Clean Code In Python Second Edition
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Author : Mariano Anaya
language : en
Publisher:
Release Date : 2020-12-28
Clean Code In Python Second Edition written by Mariano Anaya and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-28 with Computers categories.
Improve your software engineering practices to tackle inefficiencies, errors, and other perils that emerge due to bad code Key Features Enhance your coding skills to increase efficiency as well as reflect the new features introduced in Python 3.9 Understand how to apply microservices to your legacy systems by implementing practical techniques Learn to implement the refactoring techniques and SOLID principles in Python Book Description The Python language is immensely prevalent in numerous areas such as software construction, systems administration, and data processing. Experienced professionals in every field face the challenges of disorganization, poor readability, and testability due to unstructured code. With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. The book delves more deeply into object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the final chapter, we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable and readable real-world Python code. What You Will Learn Set up a productive development environment by leveraging automatic tools Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details Create advanced object-oriented designs using unique features of Python, such as descriptors Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design Create Python-specific solutions using decorators and descriptors Refactor code effectively with the help of unit tests Build the foundations for solid architecture with a clean code base as its cornerstone Who this book is for This book will appeal to team leads, software architects, and senior software engineers who want to learn Python coding techniques and work on their legacy systems to save cost and improve efficiency. The book assumes that you have a strong understanding of programming.