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Python Standard Library PDF 下载
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1.1 Introduction
Python's standard library covers a wide range of modules. It includes everything from modules that are as much a
part of the Python language as the types and statements defined by the language specification, to obscure modules
that are probably useful only to a small number of programs.
This chapter describes a number of fundamental standard library modules. Any larger Python program is likely to use
most of these modules, either directly or indirectly.
1.1.1 Built-in Functions and Exceptions
The following two modules are even more basic than all other modules combined: the _ _builtin_ _ module, which
defines built-in functions (like len, int, and range), and the exceptions module, which defines all built-in exceptions.
Python imports both modules when it starts up, and makes their content available for all programs.
1.1.2 Operating System Interface Modules
There are a number of modules modeled after the POSIX standard API and the standard C library that provide
platform-independent interfaces to the underlying operating system.
The modules in this group include os, which provides file and process operations, os.path, which offers a
platform-independent way to pull apart and put together filenames, and time, which provides functions to work with
dates and times.
To some extent, networking and thread support modules could also belong in this group, but they are not supported
by all Python implementations.
1.1.3 Type Support Modules
Several built-in types have support modules in the standard library. The string module implements commonly used
string operations, the math module provides math operations and constants, and the cmath module does the same for
complex numbers.
1.1.4 Regular Expressions
The re module provides regular expressions support for Python. Regular expressions are string patterns written in a
special syntax, which can be used to match strings and extract substrings.
1.1.5 Language Support Modules
sys gives you access to various interpreter variables, such as the module search path, and the interpreter version.
operator provides functional equivalents to many built-in operators. copy allows you to copy objects. And finally, gc
gives you more control over the garbage collector facilities in Python 2.0.
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