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Sinopsis
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.
This book is aimed at programmers who have already learned the basics of object-oriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer science background, with experience of common Python design patterns.
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Reseña del editor
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. This book is aimed at programmers who have already learned the basics of object-oriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer science background, with experience of common Python design patterns.
Biografía del autor
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. Steven is currently a technomad who lives in various places on the east coast of the US. His technology blog is: http://slottsoftwarearchitect.blogspot.com
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Mastering Object-oriented Python
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Packt Publishing, 2014
ISBN 10: 1783280972
ISBN 13: 9781783280971
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Mastering Object-oriented Python
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Paperback. Condición: Very Good. Key Features Book DescriptionThis 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 Create applications with flexible logging, powerful configuration and commandline 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 builtin 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 commandline arguments and integrate this with configuration files and environment variables Who this book is for. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR007531748
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