Mastering Object-Oriented Python
Build powerful applications with reusable code using OOP design patterns and Python 3.7
2nd Edition
Published on 14. June 2019
Book
Paperback/Softback
770 pages
978-1-78953-136-7 (ISBN)
Description
Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principles
Key Features
Extend core OOP techniques to increase integration of classes created with Python
Explore a variety of Python libraries for handling persistence and object serialization
Learn alternative approaches for solving programming problems with different attributes to address your problem domain
Book DescriptionObject-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
Who this book is forThis book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required to make the most out of this book. Knowledge of concepts related to object-oriented design patterns will also be useful.
Key Features
Extend core OOP techniques to increase integration of classes created with Python
Explore a variety of Python libraries for handling persistence and object serialization
Learn alternative approaches for solving programming problems with different attributes to address your problem domain
Book DescriptionObject-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
Who this book is forThis book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required to make the most out of this book. Knowledge of concepts related to object-oriented design patterns will also be useful.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 42 mm
Weight
1410 gr
ISBN-13
978-1-78953-136-7 (9781789531367)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Steven F. Lott
Mastering Object-Oriented Python
Build powerful applications with reusable code using OOP design patterns and Python 3.7
E-Book
06/2024
2nd Edition
Packt Publishing Limited
€31.49
Available for download
Person
Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him travelling back and forth across the US. He tries to live by the words "Don't come home until you have a story."
Content
Table of Contents
Preliminaries, Tools, and Techniques
The __init__() Method
Integrating Seamlessly - Basic Special Methods
Attribute Access, Properties, and Descriptors
The ABCs of Consistent Design
Using Callables and Contexts
Creating Containers and Collections
Creating Numbers
Decorators and Mixins - Cross-cutting Aspects
Serializing and Saving - JSON, YAML, Pickle, CSV, and XML
Storing and Retrieving Objects via Shelve
Storing and Retrieving Objects via SQLite
Transmitting and Sharing Objects
Configuration Files and Persistence
Design Principles and Patterns
The Logging and Warning Modules
Designing for Testability
Coping With the Command Line
Module and Package Design
Quality and Documentation
Preliminaries, Tools, and Techniques
The __init__() Method
Integrating Seamlessly - Basic Special Methods
Attribute Access, Properties, and Descriptors
The ABCs of Consistent Design
Using Callables and Contexts
Creating Containers and Collections
Creating Numbers
Decorators and Mixins - Cross-cutting Aspects
Serializing and Saving - JSON, YAML, Pickle, CSV, and XML
Storing and Retrieving Objects via Shelve
Storing and Retrieving Objects via SQLite
Transmitting and Sharing Objects
Configuration Files and Persistence
Design Principles and Patterns
The Logging and Warning Modules
Designing for Testability
Coping With the Command Line
Module and Package Design
Quality and Documentation