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Decorators are pretty common in modern Python. While not strictly necessary, they can reduce code size while enabling control of function input, invocation, and output. They also enable separation of responsibility and DRY. Many explanations of decorators are brief and leave the listener somewhat confused. This book is an attempt to remedy that. It is based on popular tutorials given at PyCon and in Python user groups.
- Sales Rank: #58915 in Audible
- Published on: 2015-08-12
- Format: Unabridged
- Original language: English
- Running time: 120 minutes
Most helpful customer reviews
20 of 20 people found the following review helpful.
Secret Decoder Ring for Advanced Python Beginners
By Richard Careaga
Once past "hello, world!" most beginners go through a long period of monkey-see-monkey-do learning to cobble together a collection of phrases that seem to work, although you're never exactly sure why. Eventually you run up against problems that you can't find a good example for and you have to do the hard work of understanding exactly what it is that you have asked your code to do. This is the beginning of the real learning.
One of the terms that floats around is the mysterious "decorator" that never seems urgent enough to look into, although they turn out to be quite useful. If you have been meaning get around to looking into this, the Guide to Learning Python Decorators is the place to start. But that's actually not the compelling reason for most Python newcomers to pick up this book.
A common source of beginner confusion is the "scope" of variables in functions: "I've written this function and it takes some values as input and derives a result through multiple steps. I can get the final result, but not all the intermediate variables that I've set. What gives?" This and similar questions arise from confusion as to when names are available within a function definition and when they are available to other functions and statements. It's sort of like trying to understand a language without knowing the difference between the present tense ("I am") and the past tense ("I was").
This book will clear up your confusions about functions even before you start to read about decoration at all. In addition to getting straight about scope, you'll finally get clarity about the difference between arguments and parameters, positional parameters, named parameters, etc. The author concedes that this introductory material is something that some readers will find "pedantic," but reports that many people find it helpful. He's being too modest. The distinctions he draws are essential to moving your programming skills beyond doing a pretty good imitation to real fluency.
8 of 8 people found the following review helpful.
Nice introduction, no advanced material
By Aviah Laor
A clear and concise book. The author clearly explains the issue, bottom up: python functions, arguments, parameters, closures and finally decorators. The english is clear, so it's easy to understand the concept.
However, for a price of a full book, you could expect some advanced material: more about multiple decorators (which are only reminded in one page at the end), exceptions, detailed examples of common usage, class decorators etc.
6 of 6 people found the following review helpful.
Level-up your python skills
By Amjith
This is a concise guide that covers all the necessary background in order to understand decorators.
Although many python programmers use decorators in their code, very few know how to write a decorator. Writing a decorator is considered an advanced skill and this book does an excellent job of demystifying it.
The book has dedicated sections to cover nested functions, variable function parameters, the * operator (*args, **kwargs) and closures, which are all advanced concepts that lead up to decorators.
This books serves as a stand-alone manual to python decorators. I'd highly recommend it for beginners and experts who are trying to level-up their python chops.
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