000			03614cam a2200289zu 4500
001			88957636
003			FRCYB88957636
005			20250108004538.0
006			m o d
007			cr un
008			250108s2024 fr | o|||||0|0|||eng d
020			_a9781837639618
035			_aFRCYB88957636
040			_aFR-PaCSA _ben _c _erda
100	1		_aAyeva, Kamon
245	0	1	_aMastering Python Design Patterns _bCraft essential Python patterns by following core design principles _c['Ayeva, Kamon', 'Kasampalis, Sakis']
264		1	_bPackt Publishing _c2024
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aAyeva, Kamon
700	0		_aKasampalis, Sakis
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88957636 _qtext/html _a
520			_aExplore Python design patterns such as observer, proxy, throttling, dependency injection, and anti-patterns to develop efficient and scalable applications Key FeaturesMaster essential design principles to build robust software architecture with the latest features in Python 3.10Apply proven design patterns to solve complex problems efficientlyUnderstand anti-patterns to avoid common pitfalls in Python programmingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs 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 learnMaster fundamental design principles and SOLID conceptsBecome familiar with Gang of Four (GoF) patterns and apply them effectively in PythonExplore architectural design patterns to architect robust systemsDelve into concurrency and performance patterns for optimized codeDiscover distributed systems patterns for scalable applicationsGet up to speed with testing patterns to ensure code reliability and maintainabilityDevelop modular, decoupled systems and manage dependencies efficientlyWho this book is forWith 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.
999			_c79626 _d79626