Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
Other Books You May Enjoy
20
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 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 used 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 that increments for every definition, so the fields have an incrementing index property. This solution could be considered the classic solution, as it would also work in Python 2:

>>> import itertools

>>> class Field(object):
...     counter = itertools.count()
.....