Pragmatic Python Patterns: Leveraging Decorators, Descriptors, and Duck Typing for Elegant, Scalable Code. - Softcover

Inhaltsangabe

Many developers write Python that works, but few write Python that scales. It is easy to create a tangled, hard-to-maintain codebase of "fat controllers," monolithic functions, and performance-killing "God objects." This book is the blueprint for moving from a junior "coder" to a senior "architect"—by mastering the three pragmatic pillars of the Python language.

This book is not a collection of trivia. It is a deep dive into a new way of thinking, designed to transform how you approach software design. We will demystify the "magic" of Python and give you the tools to build systems that are truly elegant, testable, and maintainable.

You will learn to:

• Embrace the "Duck Typing" Philosophy: Move beyond rigid class inheritance and learn to build flexible, decoupled components and simple, powerful tests.
• Master Decorators to Separate Concerns: Evolve from simply using decorators to designing them. You will build decorators for authentication, logging, caching, and validation, cleanly separating "boilerplate" from your core business logic.
• Unlock the Power of Descriptors: Go under the hood of Python’s object model. You will learn what @property and self really are by building your own descriptors for robust, lazy-loading, and high-performance attributes.
• Refactor Anti-Patterns to Idioms: Evolve classic "Gang of Four" patterns like the Factory and Singleton into their simple, "Pythonic" forms.
• Build Scalable Systems: Use generators to create memory-efficient data pipelines and compose all these patterns into a clean, testable "Service Layer" architecture.

By the end of this book, you will no longer just be using Python; you will be thinking in Python. You will have the expert-level toolkit to identify "code smells," fix common anti-patterns, and confidently architect applications that are clean, declarative, and built to last.

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