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.
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.
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.
zipimport
support for importing Python modules from ZIP archives.
pkgutil
Utilities to support extension of packages.
code
Base classes for interactive Python interpreters.
codeop
Compile (possibly incomplete) Python code.
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 module that provides the built-in namespace.
__main__
The environment where the top-level script is run.
Release 2.4.4, documentation updated on 18 October 2006.
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