Python Decorators in Depth (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Python Decorators in Depth" "Python Decorators in Depth" is a comprehensive technical guide meticulously crafted for Python developers seeking mastery over one of the language's most powerful, yet nuanced features. The book begins by establishing a rigorous foundation in core topics such as first-class functions, callables, closures, and introspection, providing the essential underpinnings needed to understand and architect sophisticated decorators. Early chapters expertly elucidate how the LEGB scoping model, function attributes, and mutable closure state all contribute to building robust, m...
"Python Decorators in Depth"
"Python Decorators in Depth" is a comprehensive technical guide meticulously crafted for Python developers seeking mastery over one of the language's most powerful, yet nuanced features. The book begins by establishing a rigorous foundation in core topics such as first-class functions, callables, closures, and introspection, providing the essential underpinnings needed to understand and architect sophisticated decorators. Early chapters expertly elucidate how the LEGB scoping model, function attributes, and mutable closure state all contribute to building robust, maintainable decorators.
Progressing from fundamentals to advanced abstractions, the book systematically unpacks decorator syntax, parameterization, stacking, metadata preservation, and the interplay between decorators, type hints, and function signatures. Real-world patterns are explored in depth, including techniques for robust logging, access control, memoization, input validation, exception handling, and performance monitoring. Additional chapters are devoted to class decorators, the descriptor protocol, coroutine-aware decoration, and object-oriented design patterns, ensuring readers gain practical insights into leveraging decorators across a gamut of modern Python applications.
The latter sections address decorators' pivotal roles in concurrent programming, distributed task orchestration, and dynamic meta-programming. Advanced topics include runtime code generation, plugin registration systems, multiple dispatch, and seamless integration with C extensions. Extensive, hands-on guidance for testing, profiling, and debugging decorator logic empowers readers to deliver production-quality, high-performance code. Concluding with sections on best practices, architectural pitfalls, security, and the future evolution of decorators in Python, this book stands as both a definitive reference and an indispensable resource for professionals and advanced enthusiasts alike.
"Python Decorators in Depth" is a comprehensive technical guide meticulously crafted for Python developers seeking mastery over one of the language's most powerful, yet nuanced features. The book begins by establishing a rigorous foundation in core topics such as first-class functions, callables, closures, and introspection, providing the essential underpinnings needed to understand and architect sophisticated decorators. Early chapters expertly elucidate how the LEGB scoping model, function attributes, and mutable closure state all contribute to building robust, maintainable decorators.
Progressing from fundamentals to advanced abstractions, the book systematically unpacks decorator syntax, parameterization, stacking, metadata preservation, and the interplay between decorators, type hints, and function signatures. Real-world patterns are explored in depth, including techniques for robust logging, access control, memoization, input validation, exception handling, and performance monitoring. Additional chapters are devoted to class decorators, the descriptor protocol, coroutine-aware decoration, and object-oriented design patterns, ensuring readers gain practical insights into leveraging decorators across a gamut of modern Python applications.
The latter sections address decorators' pivotal roles in concurrent programming, distributed task orchestration, and dynamic meta-programming. Advanced topics include runtime code generation, plugin registration systems, multiple dispatch, and seamless integration with C extensions. Extensive, hands-on guidance for testing, profiling, and debugging decorator logic empowers readers to deliver production-quality, high-performance code. Concluding with sections on best practices, architectural pitfalls, security, and the future evolution of decorators in Python, this book stands as both a definitive reference and an indispensable resource for professionals and advanced enthusiasts alike.
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