Mastering Object-Oriented Python
Build powerful applications with reusable code using OOP design patterns and Python 3.7
2nd Edition
Published on 3. June 2024
770 pages
978-1-78953-140-4 (ISBN)
Description
Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principlesKey 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.
- 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
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
Book
06/2019
2nd Edition
Packt Publishing
€54.80
Shipment within 3-4 weeks
Previous edition
Steven F. Lott
Mastering Object-oriented Python
If you want to master object-oriented Python programming this book is a must-have. With 750 code samples and a relaxed tutorial, it's a seamless route to programming Python.
E-Book
06/2024
1st Edition
Packt Publishing Limited
from
€26.51
Available for download
Person
Lott Steven F. :
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 residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words "Don't come home until you have a story."
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 residing on a boat, often anchored along the vibrant east coast of 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
- 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
