PACKT MASTERING OBJECT ORIENTED PYTHON 2014 RETAIL EPUB EBOOK-kE

TITLE: MASTERING OBJECT-ORIENTED PYTHON

PUBLISHER: PACKT LANGUAGE: ENGLISH

LINK: http://is.gd/N1w9Ui RELEASE TYPE: RETAIL

FORMAT: EPUB RELEASE DATE: 2014.07.02

ISBN: 9781783280971 STORE DATE: 2014

SAVED.MONEY: 41 DOLLAR DISKCOUNT: 01 x 05MB

AUTHOR: STEVEN F. LOTT



BOOK



Grasp the intricacies of object-oriented programming in Python in

order to efficiently build powerful real-world applications



Overview

* Create applications with flexible logging, powerful

configuration and command-line options, automated unit tests, and

good documentation. * Use the Python special methods to integrate

seamlessly with built-in features and the standard library *

Design classes to support object persistence in JSON, YAML

Pickle, CSV, XML, Shelve, and SQL

In Detail



This practical example-oriented guide will teach you advanced

concepts of object-oriented programming in Python. This book will

present detailed examples of almost all of the special method

names that support creating classes that integrate seamlessly

with Python's built-in features. It will show you how to use

JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create

persistent objects and transmit objects between processes. The

book also covers logging, warnings, unit testing, configuration

files, and how to work with the command line



This book is broken into three major parts: Pythonic Classes via

Special Methods; Persistence and Serialization; Testing

Debugging, Deploying, and Maintaining. The special methods are

broken down into several focus areas: initialization, basics

attribute access, callables, contexts, containers, collections

numbers, and more advanced techniques such as decorators and

mixin classes



What you will learn from this book

* Understand the different design patterns for the __init__()

method * Discover the essential features of Python 3's abstract

base classes and how you can use them for your own applications *

Design callable objects and context managers that leverage the

with statement * Perform object serialization in formats such as

JSON, YAML, Pickle, CSV, and XML * Employ the Shelve module as a

sophisticated local database * Map Python objects to a SQL

database using the built-in SQLite module * Transmit Python

objects via RESTful web services * Devise strategies for

automated unit testing, including how to use the doctest and the

unittest.mock module * Parse command-line arguments and integrate

this with configuration files and environment variables



Approach



This book follows a standard tutorial approach with approximately

750 code samples spread through the 19 chapters. This amounts to

over 5,900 lines of code that illustrate each concept