Mastering object-oriented Python: build powerful applications with reusable code using OOP design patterns and Python 3.7

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Mastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.

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Title Statements

Full title :Mastering object-oriented Python : build powerful applications with reusable code using OOP design patterns and Python 3.7 / Steven F. Lott.

Summary

Edition Statements

Publication Date:2019
Edition:Second edition

Publication Statements

Publisher(s):Packt Publishing, Limited
Place of Publication:Birmingham
Language:eng
Publication Date:2019

Notes

Creating properties

The Physical Object

Description:1 online resource (755 pages)

Edition Identifiers

ISBN:1789531403, 9781789531404, 1789531365, 9781789531367
oclc:on1107588524
LC Classification:QA76.73.P98
Dewey Decimal:005.133

Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: Tighter Integration Via Special Methods; Chapter 1: Preliminaries, Tools, and Techniques; Technical requirements; About the Blackjack game; Playing the game; Blackjack player strategies; Object design for simulating Blackjack; The Python runtime and special methods; Interaction, scripting, and tools; Selecting an IDE; Consistency and style; Type hints and the mypy program; Performance -- the timeit module; Testing -- unittest and doctest; Documentation -- sphinx and RST markup

Installing componentsSummary; Chapter 2: The __init__() Method; Technical requirements; The implicit superclass -- object; The base class object __init__() method; Implementing __init__() in a superclass; Creating enumerated constants; Leveraging __init__() via a factory function; Faulty factory design and the vague else clause; Simplicity and consistency using elif sequences; Simplicity using mapping and class objects; Two parallel mappings; Mapping to a tuple of values; The partial function solution; Fluent APIs for factories; Implementing __init__() in each subclass; Composite objects

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