Modified items

All recently modified items, latest first.

python-gettext-3.0-1.lbn25.noarch: This implementation of Gettext for Python includes a Msgfmt class which can be used to generate compiled mo files from Gettext po files and includes support for the newer msgctxt keyword. The idea for this project had been rather ambitious, but never lived up to what is was supposed to do. Look at Babel (http://pypi.python.org/pypi/Babel) for a project more worthy of this projects name.

python-geojson-1.0.6-1.lbn19.noarch: This library contains: * Functions for encoding and decoding GeoJSON_ formatted data * Classes for all GeoJSON Objects * An implementation of the Python __geo_interface__ Specification

python-flake8-2.1.0-3.lbn19.noarch: Flake8 is a wrapper around these tools: - PyFlakes - pep8 - Ned's McCabe script Flake8 runs all tools by launching the single 'flake8' script, but ignores pep8 and PyFlakes extended options and just uses defaults. It displays the warnings in a per-file, merged output. It also adds a few features: - files that contains with this header are skipped:: - lines that contains a "# NOQA" comment at the end will not issue a warning. - a Mercurial hook. - a McCabe complexity checker.

python-fastkml-0.11-1.lbn19.noarch: fastkml is a library to read, write and manipulate kml files. The aims are to keep it simple and fast (using lxml if available). Fast refers to the time you spend to write and read KML files as well as the time you spend to get aquainted to the library or to create KML objects. It provides a subset of KML and is aimed at documents that can be read from multiple clients such as openlayers and google maps rather than to give you all functionality that KML on google earth provides. Geometries are handled as pygeoif or shapely (if installed) objects.

python-extremes-1.1.1-2.lbn19.noarch: Production-quality 'Min' and 'Max' objects (adapted from PEP 326)

python-extractmsg-0.2-1.lbn19.noarch: Extracts emails and attachments saved in Microsoft Outlook's .msg files The python script ExtractMsg.py automates the extraction of key email data (from, to, cc, date, subject, body) and the email's attachments.

python-extjs-3.3.1-2.lbn19.noarch: The next major advancement in our JavaScript framework. Expanded functionality, faster performance, and improved efficiency. Create incredible web apps for every browser.

python-experimental-cssselect-0.3-2.lbn25.noarch: Experimental version of lxml.cssselect

python-exifread-2.1.2-1.lbn25.noarch: Easy to use Python module to extract Exif metadata from tiff and jpeg files. Originally written by Gene Cash & Thierry Bousch. Tag Descriptions Tags are divided into these main categories: Image: information related to the main image (IFD0 of the Exif data). Thumbnail: information related to the thumbnail image, if present (IFD1 of the Exif data). EXIF: Exif information (sub-IFD). GPS: GPS information (sub-IFD). Interoperability: Interoperability information (sub-IFD). MakerNote: Manufacturer specific information. There are no official published references for these tags.

python-eventlet-0.15.2-1.lbn19.noarch: Eventlet is a networking library written in Python. It achieves high scalability by using non-blocking io while at the same time retaining high programmer usability by using coroutines to make the non-blocking io operations appear blocking at the source code level.

python-enum34-1.0.4-2.lbn19.noarch: Python 3.4 introduced official support for enumerations. This is a backport of that feature to Python 3.3, 3.2, 3.1, 2.7, 2.5, 2.5, and 2.4. An enumeration is a set of symbolic names (members) bound to unique, constant values. Within an enumeration, the members can be compared by identity, and the enumeration itself can be iterated over. This module defines two enumeration classes that can be used to define unique sets of names and values: Enum and IntEnum. It also defines one decorator, unique, that ensures only unique member names are present in an enumeration.

python-empy-3.3.2-2.fc19.noarch: EmPy is a system for embedding Python expressions and statements in template text; it takes an EmPy source file, processes it, and produces output.

python-elementtree-1.2.7-2.lbn19.armv6hl: The Element type is a simple but flexible container object, designed to store hierarchical data structures, such as simplified XML infosets, in memory. The element type can be described as a cross between a Python list and a Python dictionary. This package also includes the C implementation, cElementTree-1.0.5-20051216.

python-elementtree-1.2.7-2.lbn19.x86_64: The Element type is a simple but flexible container object, designed to store hierarchical data structures, such as simplified XML infosets, in memory. The element type can be described as a cross between a Python list and a Python dictionary. This package also includes the C implementation, cElementTree-1.0.5-20051216.

python-ebooklib-0.15-1.lbn19.noarch: EbookLib is a Python library for managing EPUB2/EPUB3 and Kindle files. It's capable of reading and writing EPUB files programmatically (Kindle support is under development). The API is designed to be as simple as possible, while at the same time making complex things possible too. It has support for covers, table of contents, spine, guide, metadata and etc. EbookLib is used in [Booktype 2.0](https://github.com/sourcefabric/Booktype/) from Sourcefabric, as well as [sprits-it!](https://github.com/the-happy-hippo/sprits-it) [fanfiction2ebook](https://github.com/ltouroumov/fanfiction2ebook) and [deboutlesgens](https://github.com/vjousse/deboutlesgens)

python-dtopt-0.1-12.fc19.noarch: dtopts adds options to doctest examples while they are running. When using the doctest module it is often convenient to use the ELLIPSIS option, which allows you to use ... as a wildcard. But you either have to setup the test runner to use this option, or you must put #doctest: +ELLIPSIS on every example that uses this feature. dtopt lets you enable this option globally from within a doctest, by doing: >>> from dtopt import ELLIPSIS


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