Mastering Python design patterns a craft essential Python patterns by following core design principles

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. Th...

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Detalles Bibliográficos
Otros Autores: Ayeva, Kamon, author (author), Kasampalis, Sakis, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd 2024.
Edición:Third edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825843106719
Descripción
Sumario: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.
Notas:Includes index.
Descripción Física:1 online resource (296 pages) : illustrations
ISBN:9781837637652
9781837639618