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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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Preface
Who this book is for
What this book covers
To get the most out of this book
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Installing components

Most of the tools required must be added to the Python 3.7 environment. There are two approaches in common use:

  • Use pip to install everything.
  • Use conda to create an environment. Most of the tools described in this book are part of the Anaconda distribution.

The pip installation uses a single command:

python3 -m pip install pyyaml sqlalchemy jinja2 pytest sphinx mypy pylint black

This will install all of the required packages and tools in your current Python environment.

The conda installation creates a conda environment to keep the book's material separate from any other projects:

  1. Install conda. If you have already installed Anaconda, you have the Conda tool, nothing more needs to be done. If you don't have Anaconda yet, then install miniconda, which is the ideal way to get started. Visit https://conda.io/miniconda.html and download the appropriate version of conda for your platform.
  2. Use conda to build and activate the new environment.
  1. Then upgrade pip. This is needed because the default pip installation in the Python 3.7 environment is often slightly out of date.
  2. Finally, install black. This is required because black is not currently in any of the conda distribution channels.

Here are the commands:

$ conda create --name mastering python=3.7 pyyaml sqlalchemy jinja2 
pytest sphinx mypy pylint
$ conda activate mastering
$ python3 -m pip install --upgrade pip
$ python3 -m pip install black

The suite of tools (pytest, sphinx, mypy, pylint, and black) are essential for creating high-quality, reliable Python programs. The other components, pyyaml, sqlalchemy, and jinja2, are helpful for building useful applications.

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