Book Image

Python Object-Oriented Programming - Fourth Edition

By : Steven F. Lott, Dusty Phillips
2 (2)
Book Image

Python Object-Oriented Programming - Fourth Edition

2 (2)
By: Steven F. Lott, Dusty Phillips

Overview of this book

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. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python’s classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python’s exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.
Table of Contents (17 chapters)
15
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16
Index

Lists

Python's generic list structure is integrated into a number of language features. We don't need to import them and rarely need to use method syntax to access their features. We can visit all the items in a list without explicitly requesting an iterator object, and we can construct a list (as with a dictionary) with very simple-looking syntax. Further, list comprehensions and generator expressions turn them into a veritable Swiss Army knife of computing functionality.

If you don't know how to create or append to a list, how to retrieve items from a list, or what slice notation is, we direct you to the official Python tutorial, posthaste. It can be found online at http://docs.python.org/3/tutorial/. In this section, we'll move beyond the basics to cover when lists should be used, and their nature as objects.

In Python, lists should normally be used when we want to store several instances of the same type of object; lists of strings...