Personal tools
Skip to content. | Skip to navigation
future: Easy, safe support for Python 2/3 compatibility future is the missing compatibility layer between Python 2 and Python 3. It allows you to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead.It is designed to be used as follows:: from __future__ import (absolute_import, division, print_function, unicode_literals) from builtins...
A library to support the Internationalised Domain Names in Applications (IDNA) protocol as specified in RFC 5891 <http://tools.ietf.org/html/rfc5891>. This version of the protocol is often referred to as "IDNA2008" and can produce different results from the earlier standard from 2003. The library is also intended to act as a suitable drop-in replacement for the "encodings.idna" module that comes with the Python standard library but currently only supports the older 2003 specification.
Inflection |build status|_.. |build statu .. _build status: is a string transformation library. It singularizes and pluralizes English words, and transforms strings from CamelCase to underscored string. Inflection is a port of Ruby on Rails_' inflector_ to Python... _Ruby on Rails: .. _inflector: - Documentation < - Issue Tracker <
ipaddress provides the capabilities to create, manipulate and operate on IPv4 and IPv6 addresses and networks. The functions and classes in this module make it straightforward to handle various tasks related to IP addresses, including checking whether or not two hosts are on the same subnet, iterating over all hosts in a particular subnet, checking whether or not a string represents a valid IP address or network definition, and so on.
Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code.
GTK backend for python-matplotlib
GTK3 backend for python-matplotlib
Qt4 backend for python-matplotlib
Qt5 backend for python-matplotlib
Tk backend for python-matplotlib