Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Pragmatic Python Patterns: Leveraging Decorators, Descriptors, and Duck Typing for Elegant, Scalable Code.

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

F. Main, Kevin

Paperback

Programming

Currently unavailable to order

ISBN13: 9798274166287
Publisher: Independently Published
Published: Nov 12 2025
Pages: 272
Weight: 0.96
Height: 0.57 Width: 6.69 Depth: 9.61
Language: English
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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