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Steven F. Lott's Mastering Object-oriented Python PDF

By Steven F. Lott

ISBN-10: 1783280972

ISBN-13: 9781783280971

What you'll study from this book

comprehend the several layout styles for the __init__() method
detect the basic positive aspects of Python 3's summary base periods and the way you should use them in your personal applications
layout callable gadgets and context managers that leverage the with statement
practice item serialization in codecs equivalent to JSON, YAML, Pickle, CSV, and XML
hire the Shelve module as a cosmopolitan neighborhood database
Map Python gadgets to a SQL database utilizing the integrated SQLite module
Transmit Python gadgets through RESTful internet services
Devise thoughts for computerized unit checking out, together with find out how to use the doctest and the unittest.mock module
Parse command-line arguments and combine this with configuration documents and surroundings variables

In Detail

This useful example-oriented advisor will educate you complex suggestions of object-oriented programming in Python. This ebook will current precise examples of virtually the entire particular approach names that help developing periods that combine seamlessly with Python's integrated positive factors. it's going to provide help to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create chronic items and transmit items among approaches. The e-book additionally covers logging, warnings, unit trying out, configuration records, and the way to paintings with the command line.

This ebook is damaged into 3 significant components: Pythonic sessions through detailed equipment; patience and Serialization; trying out, Debugging, Deploying, and preserving. The specified tools are damaged down into a number of concentration components: initialization, fundamentals, characteristic entry, callables, contexts, boxes, collections, numbers, and extra complicated options similar to decorators and mixin classes.

Approach

This e-book follows a regular instructional technique with nearly 750 code samples unfold throughout the 19 chapters. This quantities to over 5,900 traces of code that illustrate each one concept.
Who this booklet is for

This ebook is geared toward programmers who've already discovered the fundamentals of object-oriented Python and want to jot down extra refined, versatile code that integrates seamlessly with the remainder of Python. This publication assumes a working laptop or computer technological know-how history, with event of universal Python layout patterns.

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Example text

SimpleNamespace class can be used. SimpleNamespace behaves like an otherwise empty class. We have omitted numerous details of potential unit test cases. We'll look at testing in depth in Chapter 15, Designing for Testability. Docstrings – RST markup and documentation tools All Python code should have docstrings at the module, class, and method levels. Not every single method requires a docstring. Some method names are really well chosen, and little more needs to be said about them. Most times, however, documentation is essential for clarity.

Recursively. :param n: an integer >= 0 :returns: n! Because of Python's stack limitation, this won't compute a value larger than about 1000!. >>> factorial(5) 120 """ if n == 0: return 1 return n*factorial(n-1) This shows RST markup for parameters and return values. It includes an additional note about a profound limitation. It also includes the doctest output that can be used to validate the implementation using the doctest tool. There are numerous markup features that can be used to provide additional structure and semantic information.

Part 1, Pythonic Classes via Special Methods, will extend basic object-oriented programming techniques to create classes that are more Pythonic. Any class should be able to integrate seamlessly with other parts of Python. A close fit with other parts of Python will allow us to use many language and standard library features, and the clients of our packages and modules will be more confident about using them and more successful in maintaining and extending them. In a way, our classes can appear as extensions of Python.

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Mastering Object-oriented Python by Steven F. Lott


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