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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Storing class attributes in definition order


There are cases where the definition order makes a difference. For example, let's assume we are creating a class that represents a CSV (Comma Separated Values) format. The CSV format expects the fields to have a particular order. In some cases this will be indicated by a header but it's still useful to have a consistent field order. Similar systems are using in ORM systems such as SQLAlchemy to store the column order for table definitions and for the input field order within forms in Django.

The classic solution without metaclasses

An easy way to store the order of the fields is by giving the field instances a special __init__ method which increments for every definition, so the fields have an incrementing index property. This solution can be considered the classic solution as it also works in Python 2.

>>> import itertools

>>> class Field(object):
...     counter = itertools.count()
...
...     def __init__(self, name=None):...
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