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PACKT MASTERING OBJECT ORIENTED PYTHON 2014 RETAIL EPUB EBOOK-kE

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 							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
  						

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