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arge Python programs are organized into modules and packages In addition, a large number of modules are included in the Python standard libraryThis chapter describes the module and package system in more detail In addition, it provides information on how to install third-party modules and distribute source code
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Modules and the import Statement
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Any Python source file can be used as a module For example, consider the following code:
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# spampy a = 37 def foo(): print("I'm foo and a is %s" % a) def bar(): print("I'm bar and I'm calling foo") foo() class Spam(object): def grok(self): print("I'm Spamgrok")
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To load this code as a module, use the statement import spamThe first time import is used to load a module, it does three things: 1 It creates a new namespace that serves as a container for all the objects defined in the corresponding source fileThis is the namespace accessed when functions and methods defined within the module use the global statement 2 It executes the code contained in the module within the newly created namespace 3 It creates a name within the caller that refers to the module namespaceThis name matches the name of the module and is used as follows:
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import spam x = spama spamfoo() s = spamSpam() sgrok() # # # # Loads and executes the module 'spam' Accesses a member of module 'spam' Call a function in module 'spam' Create an instance of spamSpam()
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It is important to emphasize that import executes all of the statements in the loaded source file If a module carries out a computation or produces output in addition to defining variables, functions, and classes, you will see the result Also, a common confusion with modules concerns the access to classes Keep in mind that if a file spampy defines a class Spam, you must use the name spamSpam to refer to the class To import multiple modules, you can supply import with a comma-separated list of module names, like this:
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import socket, os, re
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The name used to refer to a module can be changed using the as qualifier Here s an example:
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import spam as sp import socket as net spfoo() spbar() netgethostname()
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When a module is loaded using a different name like this, the new name only applies to the source file or context where the import statement appeared Other program modules can still load the module using its original name Changing the name of the imported module can be a useful tool for writing extensible code For example, suppose you have two modules, xmlreaderpy and csvreaderpy, that both define a function read_data(filename) for reading some data from a file, but in different input formatsYou can write code that selectively picks the reader module like this:
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if format == 'xml': import xmlreader as reader elif format == 'csv': import csvreader as reader data = readerread_data(filename)
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Modules are first class objects in PythonThis means that they can be assigned to variables, placed in data structures such as a list, and passed around in a program as a data For instance, the reader variable in the previous example simply refers to the corresponding module object Underneath the covers, a module object is a layer over a dictionary that is used to hold the contents of the module namespaceThis dictionary is available as the _ _dict_ _ of a module, and whenever you look up or change a value in a module, you re working with this dictionary The import statement can appear at any point in a program However, the code in each module is loaded and executed only once, regardless of how often you use the import statement Subsequent import statements simply bind the module name to the module object already created by the previous importYou can find a dictionary containing all currently loaded modules in the variable sysmodulesThis dictionary maps module names to module objectsThe contents of this dictionary are used to determine whether import loads a fresh copy of a module
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