此系列更新《Python Real World Data Science》的阅读摘记，每周六更新。

全书介绍Python在数据科学领域中的应用，分为四模块：

• Python 基础
• 数据分析
• 数据挖掘
• 机器学习

本文为系列第六篇，介绍python基础。

Chapter 6 When to use object-oriented programming

Treat objects as objects

• 识别出构建类的需求

Adding behavior to class data with properties

• `class Color:
  def init(self, rgb_value, name):
  self.rgb_value = rgb_value
  self._name = name

  def _set_name(self, name):
  if not name:
  raise Exception("Invalid Name")
  self._name = name

  def _get_name(self):
  return self._name

  name = property(_get_name, _set_name)`

• 使用属性包裹类成员，便于访问控制

Decorators – another way to create properties

• `class Silly:
  @property
  def silly(self):
  "This is a silly property"
  print("You are getting silly")
  return self._silly

  @silly.setter
  def silly(self, value):
  print("You are making silly {}".format(value))
  self._silly = value

  @silly.deleter
  def silly(self):
  print("Whoah, you killed silly!")
  del self._silly`

Deciding when to use properties

• method 名字通常为动词
• properties 设置或访问时可以自定义操作
• attributes 一般属性

Manager objects

• 可读性
• 拓展性
• 区分性

Don't Repeat Yourself (DRY)

• 少用ctrl + c
• always make the effort to refactor your code to be easier to read instead of writing bad code that is only easier to write.