Mastering Object Oriented Python BY Steven F. Lott [Pact Publishing] |
➥ Title:
Mastering Object Oriented Python
➥ Author's:
Steven F. Lott
➥ Publisher:
Pact Publishing
➥ Edition:
Kindle Edition
➥ Year:
2014
➥ Paperback:
636 Pages
➥ Download:
PDF (N/A)
➥ Buy:
ONLINE (Amazon)
➥ Book
Description:
An
object-oriented approach to Python web development gives you a much more
fully-realised experience of the language. The flexibility and power of Python,
combined with the improvements in design, coding and software maintenance that
object-oriented programming allows, is built to respond to the challenges of
increasingly more complex and data-intensive application development, making
difficult tasks much more manageable. This book has been designed to make this
sophisticated approach to programming easier to learn quickly, providing you
with a clear and coherent learning journey.
Beginning by
looking at a range of design patterns for the _init_() method, you will learn
how to effectively use a range of Pythonâs special methods to create classes
that integrate with Pythonâs built-in features, and find detailed explorations
and demonstrations of callables and contexts, containers and collections,
numbers, and decorators and mixins, with a focus on best practices for
effective and successful design. The book also features information that
demonstrates how to create persistent objects using JSON, YAML, Pickle, CSV,
XML, Shelve and SQL and shows you how to transmit objects between processes.
Going further into OOP, youâll find expert information on logging, warnings,
unit testing as well as working with the command line.
Structured in
3 parts to make the complexity of OOP more manageable - Pythonic Classes via
Special Methods, Persistence and Serialization and Testing, Debugging,
Deploying, and Maintaining â this book offers deep insight into OOP that will
help you develop expert level object-oriented Python skills.
➥ Key Features:
• 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
What You Will
learn:
• Create applications with flexible logging,
powerful configuration and command-line options, automated unit tests, and good
documentation
• Get to grips with different design patterns
for the __init__() method
• Design callable objects and context managers
• Perform object serialization in formats such
as JSON, YAML, Pickle, CSV, and XML
• 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
➥ Table of Contents:
• The _init_() Method
• Integrating Seamlessly with Basic Python
Special Methods
• Attribute Access, Properties, and
Descriptors
• The ABCs of Consistent Design
• Using Callables and Contexts
• Creating Contrainers and Collections
• Creating Numbers
• Decorators and Mixins: Cross-Cutting Aspects
• Serializing and Saving â JSON, YAML, Pickle,
CSV, and XML
• Storing and Retrieving Objects via Shelve
• Storing and Retrieving Objects via SQLite
• Transmitting and Sharing Objects
• Configuration Files and Persistence
• The Logging and Warning Modules
• Designing for Testability
• Coping with the Command Line
• The Module and Package Design
• Quality and Documentation
➥ About The Author:
Steven
F. Lott has been programming since the 70s, when computers were large, expensive,
and rare. As a contract software developer and architect, he has worked on
hundreds of projects, from very small to very large. He's been using Python to
solve business problems for over 10 years.
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