Python Design Patterns And Software Architecture Handbook
DOWNLOAD
Download Python Design Patterns And Software Architecture Handbook PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Python Design Patterns And Software Architecture Handbook book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Python Design Patterns And Software Architecture Handbook
DOWNLOAD
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.
Learning Python Design Patterns
DOWNLOAD
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.
Mastering Python Design Patterns
DOWNLOAD
Author : Kamon Ayeva
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31
Mastering Python Design Patterns written by Kamon Ayeva 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 2018-08-31 with Computers categories.
Exploit various design patterns to master the art of solving problems using Python Key Features Master the application design using the core design patterns and latest features of Python 3.7 Learn tricks to solve common design and architectural challenges Choose the right plan to improve your programs and increase their productivity Book Description Python is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You'll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You'll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you'll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size. What you will learn Explore Factory Method and Abstract Factory for object creation Clone objects using the Prototype pattern Make incompatible interfaces compatible using the Adapter pattern Secure an interface using the Proxy pattern Choose an algorithm dynamically using the Strategy pattern Keep the logic decoupled from the UI using the MVC pattern Leverage the Observer pattern to understand reactive programming Explore patterns for cloud-native, microservices, and serverless architectures Who this book is for This book is for intermediate Python developers. Prior knowledge of design patterns is not required to enjoy this book.
Architecture Patterns With Python
DOWNLOAD
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
Power Query Cookbook
DOWNLOAD
Author : Andrea Janicijevic
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-15
Power Query Cookbook written by Andrea Janicijevic 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 2021-10-15 with Computers categories.
Leverage your source data from hundreds of different connections, perform millions of different transformations, and easily manage highly complex data lifecycles with Power Query Key FeaturesCollect, combine, and transform data using Power Query's data connectivity and data preparation featuresOvercome the problems faced while accessing data from multiple sources and reshape it to meet your business requirementsExplore how the M language can be used to write your own customized solutionsBook Description Power Query is a data preparation tool that enables data engineers and business users to connect, reshape, enrich, and transform their data to facilitate relevant business insights and analysis. With Power Query's wide range of features, you can perform no-code transformations and complex M code functions at the same time to get the most out of your data. This Power Query book will help you to connect to data sources, achieve intuitive transformations, and get to grips with preparation practices. Starting with a general overview of Power Query and what it can do, the book advances to cover more complex topics such as M code and performance optimization. You'll learn how to extend these capabilities by gradually stepping away from the Power Query GUI and into the M programming language. Additionally, the book also shows you how to use Power Query Online within Power BI Dataflows. By the end of the book, you'll be able to leverage your source data, understand your data better, and enrich it with a full stack of no-code and custom features that you'll learn to design by yourself for your business requirements. What you will learnUnderstand how to use Power Query to connect and explore dataExplore ways to reshape and enrich dataDiscover the potential of Power Query across the Microsoft platformBuild complex and custom transformationsUse M code to write new queries against data sourcesUse the Power Query Online tool within Power BI DataflowsImplement best practices such as reusing dataflows, optimizing expanding table operations, and field mappingWho this book is for This book is for data analysts, BI developers, data engineers, and anyone looking for a desk reference guide to learn how Power Query can be used with different Microsoft products to handle data of varying complexity. Beginner-level knowledge of Power BI and the M Language will help you to get the best out of this book.
Python Architecture Patterns
DOWNLOAD
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.
Architecture Patterns With Python
DOWNLOAD
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.
Pattern Oriented Software Architecture Patterns For Resource Management
DOWNLOAD
Author : Douglas C. Schmidt
language : en
Publisher:
Release Date : 1996
Pattern Oriented Software Architecture Patterns For Resource Management written by Douglas C. Schmidt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computer architecture categories.
This fourth volume in the POSA series explores the concepts underlying patterns. The goal is to bring together the POSA pattern theory in one volume allowing readers to deepen their understanding of what patterns are, what they are not, and how to use them successfully.
Learning Python Design Patterns Second Edition
DOWNLOAD
Author : Chetan Giridhar
language : en
Publisher: Packt Publishing
Release Date : 2016-02-15
Learning Python Design Patterns Second Edition written by Chetan Giridhar and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-15 with Computer programs categories.
Leverage the power of Python design patterns to solve real-world problems in software architecture and designAbout 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 featuredWho This Book Is ForThis 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 3.5What 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 patternsIn DetailWith 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 approachThis 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.
Mastering Python Design Patterns Third Edition
DOWNLOAD
Author : Kamon Ayeva
language : en
Publisher:
Release Date : 2024-05-31
Mastering Python Design Patterns Third Edition written by Kamon Ayeva and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Explore Python design patterns such as observer, proxy, throttling, dependency injection, and anti-patterns to develop efficient and scalable applications Key Features: - Master essential design principles to build robust software architecture with the latest features in Python 3.10 - Apply proven design patterns to solve complex problems efficiently - Understand anti-patterns to avoid common pitfalls in Python programming - Purchase of the print or Kindle book includes a free PDF eBook Book Description: As software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications. The book delves into design principles and patterns in Python, covering both classic and modern patterns, and showing you how to apply them to solve daily challenges as a Python developer or architect. This new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll explore how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient. By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications. What You Will Learn: - Master fundamental design principles and SOLID concepts - Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python - Explore architectural design patterns to architect robust systems - Delve into concurrency and performance patterns for optimized code - Discover distributed systems patterns for scalable applications - Get up to speed with testing patterns to ensure code reliability and maintainability - Develop modular, decoupled systems and manage dependencies efficiently Who this book is for: With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.