Mastering Object-oriented Python by Steven Lott

By Steven Lott

This functional example-oriented consultant will train you complex techniques of object-oriented programming in Python. This ebook will current certain examples of virtually all the particular approach names that help developing periods that combine seamlessly with Python's integrated gains. it is going to provide help to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create continual items and transmit gadgets among methods. The e-book additionally covers logging, warnings, unit checking out, configuration documents, and the way to paintings with the command line.

This booklet is damaged into 3 significant components: Pythonic periods through distinctive tools; patience and Serialization; checking out, Debugging, Deploying, and keeping. The specified tools are damaged down into a number of concentration parts: initialization, fundamentals, characteristic entry, callables, contexts, bins, collections, numbers, and extra complicated ideas akin to decorators and mixin periods.

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Each subclass provides a unique implementation of the _points() method. All the subclasses have identical signatures: they have the same methods and attributes. Objects of these three subclasses can be used interchangeably in an application. If we simply use characters for suits, we will be able to create Card instances as shown in the following code snippet: cards = [ AceCard('A', '♠'), NumberCard('2','♠'), NumberCard('3','♠'), ] We enumerated the class, rank, and suit for several cards in a list.

Def f(): ... pass ... 13721893899491988 This shows us that a do-nothing function call is slightly less expensive than a donothing method invocation. The overhead in this case is almost 44 percent. In some cases, OS overheads may be a measurable component of the performance. These tend to vary based on factors that are hard to control. We can use the repeat() function instead of the timeit() function in this module. It will collect multiple samples of the basic timing to allow further analysis of OS effects on performance.

Width The Rectangle class has a method that uses two attributes to return a value. The attributes have not been initialized anywhere. This is legal Python. It's a little strange to avoid specifically setting attributes, but it's valid. area() 104 While this is legal, it's a potential source of deep confusion, which is a good reason to avoid it. [ 26 ] Chapter 1 However, this kind of design grants flexibility, so there could be times when we needn't set all of the attributes in the __init__() method.

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