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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
