精通面向对象Python编程实战

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"Mastering Object-oriented Python 2014 - Steven F. Lott" 《精通面向对象的Python》是2014年由Steven F. Lott撰写的一本专著,旨在帮助读者深入理解Python中的面向对象编程(OOP)原理,以便能够高效地构建强大的现实世界应用程序。这本书详细阐述了Python OOP的复杂性,并提供了实践指导。 面向对象编程是一种编程范式,它基于“对象”概念,这些对象可以包含数据(属性)和行为(方法)。在Python中,OOP的核心概念包括: 1. 类(Class):类是创建对象的蓝图。它定义了一组相关的属性和方法,这些属性和方法共同构成了对象的特征和行为。 2. 对象(Object):对象是类的实例,具有类定义的属性和方法。在Python中,一切皆为对象,包括基本数据类型如整数、字符串等。 3. 属性(Attribute):对象的状态由其属性表示,属性可以是变量或任何其他对象。 4. 方法(Method):对象的行为通过方法实现,这是与特定对象关联的函数。 5. 继承(Inheritance):继承允许一个类(子类)继承另一个类(父类)的属性和方法,实现代码重用和类的层次结构。 6. 多态(Polymorphism):多态允许不同类的对象对同一消息做出响应,增强了代码的灵活性和可扩展性。 7. 封装(Encapsulation):封装是将数据和操作数据的方法绑定在一起,隐藏对象的内部实现细节,只对外提供公共接口。 8. 构造函数(Constructor):在Python中称为`__init__`方法,用于初始化新创建的对象。 9. 销毁函数(Destructor):在Python中,当对象不再被引用时,会自动调用`__del__`方法来清理资源。 10. 静态方法和类方法:静态方法不与特定对象关联,而类方法则作用于类本身而非单个对象。 在阅读本书的过程中,读者将学习如何设计和实现复杂的面向对象系统,如何使用Python的内置数据结构如列表、字典和集合来增强OOP的应用,以及如何利用模块和包来组织和管理大型项目。此外,书中可能还会涵盖异常处理、单元测试、调试技巧等内容,以确保开发出的软件具有高质量和可靠性。 《精通面向对象的Python》是一本全面的指南,涵盖了Python OOP的所有重要方面,对于希望提升Python编程技能,特别是面向对象设计和开发的开发者来说,是一本不可多得的参考书籍。
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python 的面向对象教程。 This book will introduce you to more advanced features of the Python programming language. The focus is on creating the highest quality Python programs possible. This often means creating programs that have the highest performance or are the most maintainable. This means exploring design alternatives and determining which design offers the best performance while still being a good fit with the problem that is being solved. Most of the book will look at a number of alternatives for a given design. Some will have better performance. Some will seem simpler or be a better solution for the problem domain. It's essential to locate the best algorithms and optimal data structures to create the most value with the least computer processing. Time is money, and programs that save time will create more value for their users. Python makes a number of internal features directly available to our application programs. This means that our programs can be very tightly integrated with existing Python features. We can leverage numerous Python features by ensuring that our OO designs integrate well. We'll often focus on a specific problem and examine several variant solutions to the problem. As we look at different algorithms and data structures, we'll see different memory and performance alternatives. It's an important OO design skill to work through alternate solutions in order to properly optimize the final application. One of the more important themes of this book is that there's no single best approach to any problem. There are a number of alternative approaches with different attributes.