Biography
Blog
May 04 2008
The cmd module contains a base class for creating command interpreters.... read moreApril 27 2008
The functools module includes tools for wrapping functions and other callable objects.... read moreApril 20 2008
Compare files and directories easily with the filecmp module.... read moreApril 13 2008
Handle Unix-style filename comparison with the fnmatch module.... read moreApril 06 2008
The operator module contains functions that perform the same operations as man of the built-in operators.... read moreApril 01 2008
The urllib module provides a simple interface for network resource access.... read moreMarch 23 2008
The collections module includes container data types beyond the builtin types list and dict.... read moreMarch 16 2008
The datetime module includes functions and classes for doing date parsing, formatting, and arithmetic.... read moreMarch 09 2008
The time module provides functions for working with dates and times.... read moreMarch 02 2008
Use EasyDialogs to include Mac OS-native dialogs in your Python scripts.... read moreFebruary 24 2008
The imp module exposes the implementation of Python's import statement.... read moreFebruary 17 2008
Alter the search path for a specific package using pkgutil.... read moreJanuary 27 2008
Use os.path for platform-independent manipulation of file names. Module: os.path Purpose: Parse, build, test, and otherwise work on file names and paths. Python Version: 1.4 and later Description: Writing code to work with files on multiple platforms is easy using the functions included in the os.path module. Even programs not intended to be ported between… read moreJanuary 20 2008
Generate cryptographically secure hashes with hashlib. Module: hashlib Purpose: Cryptographic hashes and message digests Python Version: 2.5 Description: The hashlib module deprecates the separate md5 and sha modules and makes their API consistent. To work with a specific hash algorithm, use the appropriate constructor function to create a hash object. Then you can use the… read moreJanuary 13 2008
The threading module lets you run multiple operations concurrently in the same process space. Module: threading Purpose: Builds on the thread module to more easily manage several threads of execution. Python Version: since 1.5.2 (some of these examples require 2.5 because they use the with statement) Description: The threading module builds on the low-level features… read more
