Mastering Object-Oriented Python

Build powerful applications with reusable code using OOP design patterns and Python 3.7, 2nd Edition

Nonfiction, Computers, Programming, Object Oriented Programming, Programming Languages, General Computing
Cover of the book Mastering Object-Oriented Python by Steven F. Lott, Packt Publishing
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Author: Steven F. Lott ISBN: 9781789531404
Publisher: Packt Publishing Publication: June 14, 2019
Imprint: Packt Publishing Language: English
Author: Steven F. Lott
ISBN: 9781789531404
Publisher: Packt Publishing
Publication: June 14, 2019
Imprint: Packt Publishing
Language: English

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 various Python libraries for handling persistence and object serialization
  • Learn alternative approaches for solving programming problems, with different attributes to address your problem domain

Book Description

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

Who this book is for

This 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principles

Key Features

Book Description

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

Who this book is for

This 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.

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