Mastering Object-Oriented Python: Build powerful applications with reusable code using OOP design patterns and Python 3.7,2nd Edition
Authors: Steven F. Lott
ISBN-10: 1789531365
ISBN-13: 9781789531367
Publication Date 出版日期: 2019-06-14
Print Length 页数: 770 pages
Publisher finelybook 出版社: Packt
Book Description
By finelybook
Gain comprehensive insights into programming practices,and code portability and reuse to build flexible and maintainable apps using object-oriented principles
Object-oriented programming (OOP) is a relatively complex discipline to master,and it can be difficult to see how general principles apply to each language’s unique features. With the help of the latest edition of Mastering Objected-Oriented Python,you’ll be shown how to effectively implement OOP in Python,and even explore Python 3.x.
Complete with practical examples,the book guides you through the advanced concepts of OOP in Python,and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next,you’ll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters,you’ll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally,the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs.
By the end of this book,you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python.
What you will learn
Explore a variety of different design patterns for the __init__() method
Learn to use Flask to build a RESTful web service
Discover SOLID design patterns and principles
Use the features of Python 3’s abstract base
Create classes for your own applications
Design testable code using pytest and fixtures
Understand how to design context managers that leverage the ‘with’ statement
Create a new type of collection using standard library and design techniques
Develop new number types above and beyond the built-in classes of numbers
contents
1 Preliminaries,Tools,and Techniques
2 The __init__() Method
3 Integrating Seamlessly – Basic Special Methods
4 Attribute Access,Properties,and Descriptors
5 The ABCs of Consistent Design
6 Using Callables and Contexts
7 Creating Containers and Collections
8 Creating Numbers
9 Decorators and Mixins – Cross-Cutting Aspects
10 Serializing and Saving – JSON,YAML,Pickle,CSV,and XML
11 Storing and Retrieving Objects via Shelve
12 Storing and Retrieving Objects via SQLite
13 Transmitting and Sharing Objects
14 Configuration Files and Persistence
15 Design Principles and Patterns
16 The Logging and Warning Modules
17 Designing for Testability
18 Coping with the Command Line
19 Module and Package Design
20 Quality and Documentation
