3. Python Runtime Services

Python PEP

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3. Python Runtime Services

The modules described in this chapter provide a wide range of services related to the Python interpreter and its interaction with its environment. Here's an overview:

`sys`		Access system-specific parameters and functions.
`gc`		Interface to the cycle-detecting garbage collector.
`weakref`		Support for weak references and weak dictionaries.
`fpectl`		Provide control for floating point exception handling.
`atexit`		Register and execute cleanup functions.
`types`		Names for built-in types.
`UserDict`		Class wrapper for dictionary objects.
`UserList`		Class wrapper for list objects.
`UserString`		Class wrapper for string objects.
`operator`		All Python's standard operators as built-in functions.
`inspect`		Extract information and source code from live objects.
`traceback`		Print or retrieve a stack traceback.
`linecache`		This module provides random access to individual lines from text files.
`pickle`		Convert Python objects to streams of bytes and back.
`cPickle`		Faster version of `pickle`, but not subclassable.
`copy_reg`		Register `pickle` support functions.
`shelve`		Python object persistence.
`copy`		Shallow and deep copy operations.
`marshal`		Convert Python objects to streams of bytes and back (with different constraints).
`warnings`		Issue warning messages and control their disposition.
`imp`		Access the implementation of the `import` statement.
`pkgutil`		Utilities to support extension of packages.
`code`		Base classes for interactive Python interpreters.
`codeop`		Compile (possibly incomplete) Python code.
`pprint`		Data pretty printer.
`repr`		Alternate `repr()` implementation with size limits.
`new`		Interface to the creation of runtime implementation objects.
`site`		A standard way to reference site-specific modules.
`user`		A standard way to reference user-specific modules.
`__builtin__`		The set of built-in functions.
`__main__`		The environment where the top-level script is run.
`__future__`		Future statement definitions

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