Software Architecture With Python
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Python Architecture Patterns
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Author : Jaime Buelta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-12
Python Architecture Patterns written by Jaime Buelta 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 2022-01-12 with Computers categories.
Make the best of your test suites by using cutting-edge software architecture patterns in Python Key FeaturesLearn how to create scalable and maintainable applicationsBuild a web system for micro messaging using concepts in the bookUse profiling to find bottlenecks and improve the speed of the systemBook Description Developing large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier. This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity—and get the most value out of their test suites. Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished. By the end of this Python book, you will have developed "architectural thinking": a different way of approaching software design, including making changes to ongoing systems. What you will learnThink like an architect, analyzing software architecture patternsExplore API design, data storage, and data representation methodsInvestigate the nuances of common architectural structuresUtilize and interoperate elements of patterns such as microservicesImplement test-driven development to perform quality code testingRecognize chunks of code that can be restructured as packagesMaintain backward compatibility and deploy iterative changesWho this book is for This book will help software developers and architects understand the structure of large complex systems and adopt architectural patterns that are scalable. Examples in the book are implemented in Python so a fair grasp of basic Python concepts is expected. Proficiency in any programming languages such as Java or JavaScript is sufficient.
Software Architecture With Python
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Author : Anand Balachandran Pillai
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-04-28
Software Architecture With Python written by Anand Balachandran Pillai 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 2017-04-28 with Computers categories.
Architect and design highly scalable, robust, clean, and highly performant applications in Python About This Book Identify design issues and make the necessary adjustments to achieve improved performance Understand practical architectural quality attributes from the perspective of a practicing engineer and architect using Python Gain knowledge of architectural principles and how they can be used to provide accountability and rationale for architectural decisions Who This Book Is For This book is for experienced Python developers who are aspiring to become the architects of enterprise-grade applications or software architects who would like to leverage Python to create effective blueprints of applications. What You Will Learn Build programs with the right architectural attributes Use Enterprise Architectural Patterns to solve scalable problems on the Web Understand design patterns from a Python perspective Optimize the performance testing tools in Python Deploy code in remote environments or on the Cloud using Python Secure architecture applications in Python In Detail This book starts off by explaining how Python fits into an application architecture. As you move along, you will understand the architecturally significant demands and how to determine them. Later, you'll get a complete understanding of the different architectural quality requirements that help an architect to build a product that satisfies business needs, such as maintainability/reusability, testability, scalability, performance, usability, and security. You will use various techniques such as incorporating DevOps, Continuous Integration, and more to make your application robust. You will understand when and when not to use object orientation in your applications. You will be able to think of the future and design applications that can scale proportionally to the growing business. The focus is on building the business logic based on the business process documentation and which frameworks are to be used when. We also cover some important patterns that are to be taken into account while solving design problems as well as those in relatively new domains such as the Cloud. This book will help you understand the ins and outs of Python so that you can make those critical design decisions that not just live up to but also surpass the expectations of your clients. Style and approach Filled with examples and use cases, this guide takes a no-nonsense approach to help you with everything it takes to become a successful software architect.
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.
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
Python Design Patterns And Software Architecture Handbook
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Author : Drew A. Parker
language : en
Publisher: Drew A. Parker
Release Date : 2025-11-21
Python Design Patterns And Software Architecture Handbook written by Drew A. Parker and has been published by Drew A. Parker this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.
Are you tired of Python projects that start clean but quickly descend into a tangled web of dependencies, making every change a risk and scaling a nightmare? You understand the basics of Python syntax, you can build applications that work, but as features grow, your codebase becomes brittle and incomprehensible. You've heard about design patterns like Singleton or Observer, but the classic examples feel alien in Python, leading to over-engineered, un-Pythonic code that your team dreads maintaining. The gap between simple scripts and a robust, professional-grade system feels immense, leaving you wondering if you'll ever build something that stands the test of time. What if you could master a structured approach to Python development that seamlessly blends powerful design patterns with Python's elegant philosophy? Imagine opening a codebase you wrote six months ago and immediately understanding the flow, being able to add new features with confidence instead of fear. This isn't about rigid, academic theory; it's about practical, battle-tested techniques for building software that is inherently scalable, maintainable, and a pleasure to work on. Introducing the Python Design Patterns and Software Architecture Handbook. This is your definitive guide to transitioning from a coder who writes working scripts to an architect who builds resilient systems. We go far beyond regurgitating the Gang of Four patterns. We translate them into idiomatic Python, showing you exactly when and how to apply them to solve real-world problems. You'll discover how to use Dependency Injection to create testable code, how the Observer pattern powers modern event-driven systems, and how to structure your applications with Clean Architecture principles so that your business logic is independent of databases, frameworks, and web interfaces. Inside this handbook, you'll find: Pythonic Pattern Implementations: See how classic patterns like Strategy, Factory, and Decorator are implemented with Python's first-class functions, dataclasses, and context managers, making them more powerful and simpler than you thought possible. From Monolith to Microservices: A step-by-step case study on architecting a fictional e-commerce platform, demonstrating how patterns evolve as your application scales from a simple script to a distributed system. Operational Excellence: Master the often-overlooked skills of deploying, containerizing, and monitoring pattern-based applications with Docker, CI/CD pipelines, and observability tools. The Architect's Decision Framework: A practical cheat sheet that answers the critical question, "Which pattern do I use when?" so you can make correct design decisions under pressure. Anti-Patterns and Pitfalls: Learn to recognize and avoid common missteps that turn good patterns into unmaintainable code, saving you from costly refactoring down the line. Stop wrestling with spaghetti code and start building systems you're proud of. This book is the missing link between understanding Python and mastering software engineering with it. It’s written for the intermediate developer ready to level up their craft. The clear explanations, annotated code samples, and comprehensive sample project provide a blueprint you can immediately apply to your own work. Claim your copy now and begin building scalable, maintainable, and truly Pythonic systems from first principles.
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.
Applied Reconfigurable Computing Architectures Tools And Applications
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Author : Nikolaos Voros
language : en
Publisher: Springer
Release Date : 2018-04-25
Applied Reconfigurable Computing Architectures Tools And Applications written by Nikolaos Voros and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-25 with Computers categories.
This book constitutes the proceedings of the 14th International Conference on Applied Reconfigurable Computing, ARC 2018, held in Santorini, Greece, in May 2018. The 29 full papers and 22 short presented in this volume were carefully reviewed and selected from 78 submissions. In addition, the volume contains 9 contributions from research projects. The papers were organized in topical sections named: machine learning and neural networks; FPGA-based design and CGRA optimizations; applications and surveys; fault-tolerance, security and communication architectures; reconfigurable and adaptive architectures; design methods and fast prototyping; FPGA-based design and applications; and special session: research projects.
Learning Python Design Patterns
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Author : Chetan Giridhar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-02-15
Learning Python Design Patterns written by Chetan Giridhar 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 2016-02-15 with Computers categories.
Leverage the power of Python design patterns to solve real-world problems in software architecture and design About This Book Understand the structural, creational, and behavioral Python design patterns Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development Get practical exposure through sample implementations in Python v3.5 for the design patterns featured Who This Book Is For This book is for Software architects and Python application developers who are passionate about software design. It will be very useful to engineers with beginner level proficiency in Python and who love to work with Python 3.5 What You Will Learn Enhance your skills to create better software architecture Understand proven solutions to commonly occurring design issues Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle and the Open Close principle among others Delve into the object-oriented programming concepts and find out how they are used in software applications Develop an understanding of Creational Design Patterns and the different object creation methods that help you solve issues in software development Use Structural Design Patterns and find out how objects and classes interact to build larger applications Focus on the interaction between objects with the command and observer patterns Improve the productivity and code base of your application using Python design patterns In Detail With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns. Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python's latest release, Python v3.5. We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Facade patterns in detail. After this, we'll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns. By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development. Style and approach This is an easy-to-follow guide to design patterns with hands-on examples of real-world scenarios and their implementation in Python v3.5. Each topic is explained and placed in context, and for the more inquisitive, there are more details on the concepts used.
Crafting Python Architecting Your Code For All
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Author : M.B. Chatfield
language : en
Publisher:
Release Date : 2026-01-25
Crafting Python Architecting Your Code For All written by M.B. Chatfield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-25 with Computers categories.
Elevate your code. Learn to architect clean, efficient, and professional Python applications. The second step in the Script-to-System Saga. "Crafting Python: Architecting Your Code for All" empowers developers to create elegant, functional code through architectural principles that ensure longevity and resilience. By emphasizing modularity, encapsulation, and effective documentation, this guide leads programmers to harness Python's versatility across various applications, from web development to data science. Elevate your coding skills and collaborative efforts while mastering the art of building maintainable and scalable solutions in an ever-evolving tech landscape. About the Author: M.B. Chatfield M.B. Chatfield is a prominent voice in modern technology communication, widely recognized for a unique ability to "cut straight to the bone." In a world where programming is often buried under unnecessary complexity and technical jargon, Chatfield has made it a personal mission to demystify the code. As an author, Chatfield is driven by the principle of maximum clarity. He possesses the rare gift of isolating the most advanced topics—from system architecture to artificial intelligence—and serving them in a form that is accessible to everyone. His pedagogical approach removes the noise and focuses exclusively on what is essential to understanding and mastering the craft. This uncompromising pursuit of simplicity is the foundation of the book series The Python Script-to-System Saga. Chatfield's works are known for their sharp precision and logical structure, making them the preferred choice for readers who wish to transition from beginner to professional without getting lost in theory. For M.B. Chatfield, programming is not about using the most difficult words, but about building the most effective solutions. His books are created for those who want to learn to think clearly, code wisely, and build systems that last. #Python #Coding #Programming #Software #DataScience #AI #MachineLearning #WebDevelopment #Automation #LearnToCode #PythonScript #MBChatfield #Developer #Tech #Software #Data #Architecture #Logic #Script #Learning #Systems
Micropython Projects
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Author : Jacob Beningo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-17
Micropython Projects written by Jacob Beningo 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 2020-04-17 with Computers categories.
Explore MicroPython through a series of hands-on projects and learn to design and build your own embedded systems using the MicroPython Pyboard, ESP32, the STM32 IoT Discovery kit, and the OpenMV camera module. Key Features Delve into MicroPython Kernel and learn to make modifications that will enhance your embedded applications Design and implement drivers to interact with a variety of sensors and devices Build low-cost projects such as DIY automation and object detection with machine learning Book DescriptionWith the increasing complexity of embedded systems seen over the past few years, developers are looking for ways to manage them easily by solving problems without spending a lot of time on finding supported peripherals. MicroPython is an efficient and lean implementation of the Python 3 programming language, which is optimized to run on microcontrollers. MicroPython Projects will guide you in building and managing your embedded systems with ease. This book is a comprehensive project-based guide that will help you build a wide range of projects and give you the confidence to design complex projects spanning new areas of technology such as electronic applications, automation devices, and IoT applications. While building seven engaging projects, you'll learn how to enable devices to communicate with each other, access and control devices over a TCP/IP socket, and store and retrieve data. The complexity will increase progressively as you work on different projects, covering areas such as driver design, sensor interfacing, and MicroPython kernel customization. By the end of this MicroPython book, you'll be able to develop industry-standard embedded systems and keep up with the evolution of the Internet of Things.What you will learn Develop embedded systems using MicroPython Build a custom debugging tool to visualize sensor data in real-time Detect objects using machine learning and MicroPython Discover how to minimize project costs and reduce development time Get to grips with gesture operations and parsing gesture data Learn how to customize and deploy the MicroPython kernel Explore the techniques for scheduling application tasks and activities Who this book is for If you are an embedded developer or hobbyist looking to build interesting projects using MicroPython, this book is for you. A basic understanding of electronics and Python is required while some MicroPython experience will be helpful.