Master object oriented python

Master Object Oriented Programming (OOP) in Python

Object-Oriented Programming is the programming paradigm based on the concept of objects which can contain data and code. Object-oriented programming is a programming paradigm that provides a means of structuring programs so that properties and behaviors are bundled into individual objects. Like other general-purpose programming languages, Python is also an object-oriented language since its beginning.

It allows us to develop applications using an Object-Oriented approach. In Python, we can easily create and use classes and objects. In this article, we will learn the understanding of OOP and how we can make out code in an object-oriented format.

Following are the major principles of Object-oriented programming.

1. Classes
2. Object
3. Attributes
4. Methods
5. Constructor
6. Inheritance
7. Polymorphism

Advantages of OOP

1. Modularity for easier debugging
2. Reuse of code through inheritance
3. Flexibility through polymorphism
4. Effective problem solving
5. Design Benefits
6. Better Productivity
7. Problems solving

What are Classes

Class is a user-defined blueprint from which objects are created. It’s just like a blueprint of a house as we know by seeing the blueprint of the house you can imagine how the house will look like same as the classes which had objects and method in it. In python, as you know the definition of function is started with def keywords, and class is created with keywords class and the object of the class is created with constructors of the class. Classes allow you to define the information and design that characterize anything you want to model.

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Mastering Object-Oriented Python — Second Edition, published by Packt

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README.md

Mastering Object-Oriented Python — Second Edition

This is the code repository for Mastering Object-Oriented Python — Second Edition, published by Packt.

Build powerful applications with reusable code using OOP design patterns and Python 3.7

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.

This book covers the following exciting features:

• 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

If you feel this book is for you, get your copy today!

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

def F(n: int) -> int: if n in (0, 1): return 1 else: return F(n-1) + F(n-2) 

Following is what you need for this book: 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.

With the following software and hardware list you can run all code files present in the book (Chapter 1-20).

Software and Hardware List

• Python 3 Object-Oriented Programming — Third Edition [Packt][Amazon]
• Learn Python Programming — Second Edition [Packt][Amazon]

Steven F. Lott has been programming since the 1970s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large ones. He’s been using Python to solve business problems for over 10 years. His other titles with Packt include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming Second Edition, Python for Secret Agents, and Python for Secret Agents II. Steven is currently a technomad who lives in various places on the East Coast of the US. You can follow him on Twitter via the handle @s_lott.

Other books by the author

Click here if you have any feedback or suggestions.

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

About

Mastering Object-Oriented Python — Second Edition, published by Packt

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Mastering Object-Oriented Python — Second Edition

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Book 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 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.

Источник