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Home > Programming > Design Patterns > Python 3 Object-Oriented Programming
Python 3 Object-Oriented Programming
Python 3 Object-Oriented Programming

Python 3 Object-Oriented Programming: Build robust and maintainable software with object-oriented design patterns in Python 3.8 , Third Edition

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Python 3 Object-Oriented Programming

Objects in Python

So, we now have a design in hand and are ready to turn that design into a working program! Of course, it doesn't usually happen this way. We'll be seeing examples and hints for good software design throughout the book, but our focus is object-oriented programming. So, let's have a look at the Python syntax that allows us to create object-oriented software.

After completing this chapter, we will understand the following:

  • How to create classes and instantiate objects in Python
  • How to add attributes and behaviors to Python objects
  • How to organize classes into packages and modules
  • How to suggest that people don't clobber our data

Creating Python classes

We don't have to write much Python code to realize that Python is a very clean language. When we want to do something, we can just do it, without having to set up a bunch of prerequisite code. The ubiquitous hello world in Python, as you've likely seen, is only one line.

Similarly, the simplest class in Python 3 looks like this:

class MyFirstClass: 
    pass

There's our first object-oriented program! The class definition starts with the class keyword. This is followed by a name (of our choice) identifying the class, and is terminated with a colon.

The class name must follow standard Python variable naming rules (it must start with a letter or underscore, and can only be comprised of letters, underscores, or numbers). In addition, the Python style guide (search the web for PEP 8) recommends that classes should be named using CapWords...

Modules and packages

Now we know how to create classes and instantiate objects. You don't need to write too many classes (or non-object-oriented code, for that matter) before you start to lose track of them. For small programs, we can just put all our classes into one file and add a little script at the end of the file to start them interacting. However, as our projects grow, it can become difficult to find the one class that needs to be edited among the many classes we've defined. This is where modules come in. Modules are simply Python files, nothing more. The single file in our small program is a module. Two Python files are two modules. If we have two files in the same folder, we can load a class from one module for use in the other module.

For example, if we are building an e-commerce system, we will likely be storing a lot of data in a database. We can put all...

Organizing module content

Inside any one module, we can specify variables, classes, or functions. They can be a handy way to store the global state without namespace conflicts. For example, we have been importing the Database class into various modules and then instantiating it, but it might make more sense to have only one database object globally available from the database module. The database module might look like this:

class Database: 
    # the database implementation 
    pass 
 
database = Database()

Then we can use any of the import methods we've discussed to access the database object, for example:

from ecommerce.database import database

A problem with the preceding class is that the database object is created immediately when the module is first imported, which is usually when the program starts up. This isn't always ideal, since connecting to a database...

Who can access my data?

Most object-oriented programming languages have a concept of access control. This is related to abstraction. Some attributes and methods on an object are marked private, meaning only that object can access them. Others are marked protected, meaning only that class and any subclasses have access. The rest are public, meaning any other object is allowed to access them.

Python doesn't do this. Python doesn't really believe in enforcing laws that might someday get in your way. Instead, it provides unenforced guidelines and best practices. Technically, all methods and attributes on a class are publicly available. If we want to suggest that a method should not be used publicly, we can put a note in docstrings indicating that the method is meant for internal use only (preferably, with an explanation of how the public-facing API works!).

By convention...

Third-party libraries

Python ships with a lovely standard library, which is a collection of packages and modules that are available on every machine that runs Python. However, you'll soon find that it doesn't contain everything you need. When this happens, you have two options:

  • Write a supporting package yourself
  • Use somebody else's code

We won't be covering the details about turning your packages into libraries, but if you have a problem you need to solve and you don't feel like coding it (the best programmers are extremely lazy and prefer to reuse existing, proven code, rather than write their own), you can probably find the library you want on the Python Package Index (PyPI) at http://pypi.python.org/. Once you've identified a package that you want to install, you can use a tool called pip to install it. However, pip does not come with Python...

Case study

To tie it all together, let's build a simple command-line notebook application. This is a fairly simple task, so we won't be experimenting with multiple packages. We will, however, see common usage of classes, functions, methods, and docstrings.

Let's start with a quick analysis: notes are short memos stored in a notebook. Each note should record the day it was written and can have tags added for easy querying. It should be possible to modify notes. We also need to be able to search for notes. All of these things should be done from the command line.

An obvious object is the Note object; a less obvious one is a Notebook container object. Tags and dates also seem to be objects, but we can use dates from Python's standard library and a comma-separated string for tags. To avoid complexity, in the prototype, we need not define separate classes for these...

Exercises

Write some object-oriented code. The goal is to use the principles and syntax you learned in this chapter to ensure you understand the topics we've covered. If you've been working on a Python project, go back over it and see whether there are some objects you can create and add properties or methods to. If it's large, try dividing it into a few modules or even packages and play with the syntax.

If you don't have such a project, try starting a new one. It doesn't have to be something you intend to finish; just stub out some basic design parts. You don't need to fully implement everything; often, just a print("this method will do something") is all you need to get the overall design in place. This is called top-down design, in which you work out the different interactions and describe how they should work before actually implementing...

Summary

In this chapter, we learned how simple it is to create classes and assign properties and methods in Python. Unlike many languages, Python differentiates between a constructor and an initializer. It has a relaxed attitude toward access control. There are many different levels of scope, including packages, modules, classes, and functions. We understood the difference between relative and absolute imports, and how to manage third-party packages that don't come with Python.

In the next chapter, we'll learn how to share implementation using inheritance.

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Key benefits

  • In-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style
  • Learn the latest Python syntax and libraries
  • Explore abstract design patterns and implement them in Python 3.8

Description

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem. By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.

Who is this book for?

If you're new to object-oriented programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply OOP in Python, this is the book for you. If you are an object-oriented programmer for other languages or seeking a leg up in the new world of Python 3.8, you too will find this book a useful introduction to Python. Previous experience with Python 3 is not necessary.

What you will learn

  • Implement objects in Python by creating classes and defining methods
  • Grasp common concurrency techniques and pitfalls in Python 3
  • Extend class functionality using inheritance
  • Understand when to use object-oriented features, and more importantly when not to use them
  • Discover what design patterns are and why they are different in Python
  • Uncover the simplicity of unit testing and why it s so important in Python
  • Explore concurrent object-oriented programming
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Table of Contents

14 Chapters
Object-Oriented Design Chevron down icon Chevron up icon
Object-Oriented Design
Introducing object-oriented
Objects and classes
Specifying attributes and behaviors
Hiding details and creating the public interface
Composition
Inheritance
Case study
Exercises
Summary
Objects in Python Chevron down icon Chevron up icon
Objects in Python
Creating Python classes
Modules and packages
Organizing module content
Who can access my data?
Third-party libraries
Case study
Exercises
Summary
When Objects Are Alike Chevron down icon Chevron up icon
When Objects Are Alike
Basic inheritance
Multiple inheritance
Polymorphism
Abstract base classes
Case study
Exercises
Summary
Expecting the Unexpected Chevron down icon Chevron up icon
Expecting the Unexpected
Raising exceptions
Case study
Exercises
Summary
When to Use Object-Oriented Programming Chevron down icon Chevron up icon
When to Use Object-Oriented Programming
Treat objects as objects
Adding behaviors to class data with properties
Manager objects
Case study
Exercises
Summary
Python Data Structures Chevron down icon Chevron up icon
Python Data Structures
Empty objects
Tuples and named tuples
Dataclasses
Dictionaries
Lists
Sets
Extending built-in functions
Case study
Exercises
Summary
Python Object-Oriented Shortcuts Chevron down icon Chevron up icon
Python Object-Oriented Shortcuts
Python built-in functions
An alternative to method overloading
Functions are objects too
Case study
Exercises
Summary
Strings and Serialization Chevron down icon Chevron up icon
Strings and Serialization
Strings
Regular expressions
Filesystem paths
Serializing objects
Case study
Exercises
Summary
The Iterator Pattern Chevron down icon Chevron up icon
The Iterator Pattern
Design patterns in brief
Iterators
Comprehensions
Generators
Coroutines
Case study
Exercises
Summary
Python Design Patterns I Chevron down icon Chevron up icon
Python Design Patterns I
The decorator pattern
The observer pattern
The strategy pattern
The state pattern
The singleton pattern
The template pattern
Exercises
Summary
Python Design Patterns II Chevron down icon Chevron up icon
Python Design Patterns II
The adapter pattern
The facade pattern
The flyweight pattern
The command pattern
The abstract factory pattern
The composite pattern
Exercises
Summary
Testing Object-Oriented Programs Chevron down icon Chevron up icon
Testing Object-Oriented Programs
Why test?
Unit testing
Testing with pytest
Imitating expensive objects
How much testing is enough?
Case study
Exercises
Summary
Concurrency Chevron down icon Chevron up icon
Concurrency
Threads
Multiprocessing
Futures
AsyncIO
Case study
Exercises
Summary
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David Nov 19, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Any developer interested in OOP by Python should read this book before learning other topics by Python; strongly recommended.
Amazon Verified review Amazon
Wilfried Feb 06, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Das Buch stellt keine Einführung in Python dar, sondern erwartet vom Leser schon einige Python Programm geschrieben zu haben. Dabei wird das Hauptaugenmerk darauf gelegt, besser verständliche und wartbare Programme zu schreiben durch den Einsatz der Konzepte der Objekt Orientierter Programmierung (OOP).In den ersten Kapiteln, die zunächst keinen Bezug zur Sprache Python haben, werden auch Objekt Orientiertes Analyse und Objekt Orientiertes Design, sowie die a Unified Modeling Language (UML) Sprache nicht ausgelassen.Der Rest des Buches behandelt die Themen immer anhand der Implementierung in Python. Hier werden aber auch die Grenzen des sinnvollen Einsatzes von OOP aufgezeigt und Alternativen erwähnt, wie zum Beispiel im Kapitel 8 die regulären Ausdrücke.Jedes Kapitel enthält viele Programmbeispiele und eine größere Fall Studie, die detailliert besprochen wird.Das Buch ist sehr konsequent und sinnvoll aufgebaut.
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Beth Jun 04, 2020
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I have been working with Python three for a couple of years now in data analysis, but lacked complete mastery in a software sense. This book is the perfect solution . It has helped me learn what I needed to know grow my career! Solid foundation of object oriented programming that is simple to understand and deploy.
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gopi Apr 26, 2023
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I tried to learn Python by watching videos on YouTube and looking up information online. However, I found myself feeling lost when it came to understanding functions, for loops, tuples, lists, and other topics. because was unable to connect the dots between everything. This ebook provides a clear summary of each topic related to Python. for eg: if you are reading for loops then you will see a table that outline commonly used variables within for loops, among other helpful information.
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It's a good product
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About the author

Profile icon Dusty Phillips
Dusty Phillips
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Dusty Phillips is a Canadian software developer and an author currently living in New Brunswick. He has been active in the open-source community for 2 decades and has been programming in Python for nearly as long. He holds a master's degree in computer science and has worked for Facebook, the United Nations, and several startups.
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The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela