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In this chapter we learned a lot more about Python s support for procedural and object-oriented programming, and got a taste of Python s support for functional-style programming In the rst section we learned how to create generator expressions, and covered generator functions in more depth We also learned how to dynamically import modules and how to access functionality from such modules, as well as how to dynamically execute code In this section we saw examples of how to create and use recursive functions and nonlocal variables We also learned how to create custom function and method decorators, and how to write and make use of function annotations In the chapter s second section we studied a variety of different and more advanced aspects of object-oriented programming First we learned more about attribute access, for example, using the __getattr__() special method Then we learned about functors and saw how we could use them to provide functions with state something that can also be achieved by adding properties to functions or using closures, both covered in this chapter We learned how to use the with statement with context managers and how to create custom context managers Since Python s le objects are also context managers, from now on we will do our le handling using try with except structures that ensure that opened les are closed without the need for finally blocks The second section continued with coverage of more advanced object-oriented features, starting with descriptors These can be used in a wide variety of ways and are the technology that underlies many of Python s standard decorators such as @property and @classmethod We learned how to create custom descriptors and saw three very different examples of their use Next we studied class decorators and saw how we could modify a class in much the same way that a function decorator can modify a function In the last three subsections of the second section we learned about Python s support for ABCs (abstract base classes), multiple inheritance, and metaclasses We learned how to make our own classes t in with Python s standard ABCs and how to create our own ABCs We also saw how to use multiple inheritance to unify the features of different classes together in a single class And from the coverage of metaclasses we learned how to intervene when a class (as opposed to an instance of a class) is created and initialized The penultimate section introduced some of the functions and modules that Python provides to support functional-style programming We learned how to use the common functional idioms of mapping, ltering, and reducing We also learned how to create partial functions and how to create and use coroutines
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And the last section showed how to combine class decorators with descriptors to provide a powerful and exible mechanism for creating validated attributes This chapter completes our coverage of the Python language itself Not every feature of the language has been covered here and in the previous chapters, but those that have not are obscure and rarely used None of the subsequent chapters introduces new language features, although all of them make use of modules from the standard library that have not been covered before, and some of them take techniques shown in this and earlier chapters further than we have seen so far Furthermore, the programs shown in the following chapters have none of the constraints that have applied previously (ie, to only use aspects of the language that had been covered up to the point they were introduced), so they are the book s most idiomatic examples
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