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Mastering Object-Oriented Python

Mastering Object-Oriented Python

By : Steven F. Lott
3.8 (4)
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Mastering Object-Oriented Python

Mastering Object-Oriented Python

3.8 (4)
By: Steven F. Lott

Overview of this book

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.
Table of Contents (25 chapters)
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Section 1: Tighter Integration Via Special Methods
11
Section 2: Object Serialization and Persistence
17
Section 3: Object-Oriented Testing and Debugging

Storing the configuration in PY files

The PY file format means using Python code as the configuration file. This pairs nicely with the use of the same language implementing the application. We will have a configuration file that's simply a module; the configuration is written in the Python syntax. This can remove the need for sophisticated parsing to get the configuration values.

Using Python gives us a number of design considerations. We have two overall strategies to use Python as the configuration file:

  • A top-level script: In this case, the configuration file is simply the top-most main program.
  • An exec() import: In this case, our configuration file provides parameter values that are collected into module global variables.

We can design a top-level script file that looks like the following code:

from simulator import *

def simulate_SomeStrategy_Flat() -> None:
dealer_rule...
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