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python-m01.grid-0.5.0-2.lbn13.noarch: This package provides a mongodb grid based file implementation for Zope3.

python-m01.fs-0.5.1-2.lbn13.noarch: This package provides a mongodb file implementation without GridFS for Zope3. This means, such files are limited to the mongo document size, currently 16MB. As you probably know, you should not use GridFS for small binary data because you will double the number of queries. This package will offer a file which stores the meta and file data in one document.

python-m01.form-0.5.1-1.lbn13.noarch: This package provides z3c.form widget converter for m01.mongo components.

python-m01.bayes-0.5.0-1.lbn13.noarch: This package provides a bayesian classifier based on for m01.mongo.

python-lxml-2.3.6-1.lbn13.x86_64: lxml provides a Python binding to the libxslt and libxml2 libraries. It follows the ElementTree API as much as possible in order to provide a more Pythonic interface to libxml2 and libxslt than the default bindings. In particular, lxml deals with Python Unicode strings rather than encoded UTF-8 and handles memory management automatically, unlike the default bindings.

python-lxml-2.3.5-1.fc18.armv6hl: lxml provides a Python binding to the libxslt and libxml2 libraries. It follows the ElementTree API as much as possible in order to provide a more Pythonic interface to libxml2 and libxslt than the default bindings. In particular, lxml deals with Python Unicode strings rather than encoded UTF-8 and handles memory management automatically, unlike the default bindings.

python-llist-0.4-1.lbn13.x86_64: llist is an extension module for CPython providing basic linked list data structures. Collections implemented in the llist module perform well in problems which rely on fast insertions and/or deletions of elements in the middle of a sequence. For this kind of workload, they can be significantly faster than collections.deque or standard Python lists. This extension requires CPython 2.5 or newer (3.x is supported). If you are looking for an implementation of linked lists in pure Python, visit http://github.com/rgsoda/pypy-llist/ The pypy-llist module has the same API as this extension, but is significantly slower in CPython. Currently llist provides the following types of linked lists: dllist - a doubly linked list sllist - a singly linked list

python-linkedin-0.1.5-2.lbn13.noarch: from linkedin import * *Get an authorization url for your user* l = LinkedinAPI(api_key='*your app key*', api_secret='*your app secret*', callback_url='http://www.example.com/callback/', permissions=["r_network"]) auth_props = l.get_authentication_tokens() auth_url = auth_props['auth_url'] oauth_token_secret = auth_props['oauth_token_secret'] print 'Connect with LinkedIn via: %s' % auth_url If you leave callback_url blank, you can get the oauth_verifier from the web browser. It is a five-digit integer. The permissions parameter is optional. It can be a list or string. The [list of permissions](https://developer.linkedin.com/documents/authentication) is in the LinkedIn API documentation. Once you click "Allow" be sure that there is a URL set up to handle getting finalized tokens and possibly adding them to your database to use their information at a later date. \n\n' oauth_token = *Grab oauth token from URL* oauth_verifier = *Grab oauth verifier from URL* l = LinkedinAPI(api_key='*your app key*', api_secret='*your app secret*', oauth_token=oauth_token, oauth_token_secret=session['linkedin_session_keys']['oauth_token_secret']) authorized_tokens = l.get_access_token(oauth_verifier) final_oauth_token = authorized_tokens['oauth_token'] final_oauth_token_secret = authorized_tokens['oauth_token_secret'] l = LinkedinAPI(api_key = '*your app key*', api_secret = '*your app secret*', oauth_token=final_tokens['oauth_token'], oauth_token_secret=final_tokens['oauth_token_secret']) profile = l.get('people/~', fields='first-name,last-name') print profile search = l.get('people-search', params={'keywords':'Hacker'}) print search feed = l.get('people/~/network/updates') print feed share_content = { "comment": "Posting from the API using JSON", "content": { "title": "A title for your share", "submitted-url": "http://www.linkedin.com", "submitted-image-url": "http://lnkd.in/Vjc5ec" }, "visibility": { "code": "anyone" } } share_update = l.post('people/~/shares', params=share_content) print share_update

python-ldap-2.4.9-1.lbn13.x86_64: python-ldap provides an object-oriented API for working with LDAP within Python programs. It allows access to LDAP directory servers by wrapping the OpenLDAP 2.x libraries, and contains modules for other LDAP-related tasks (including processing LDIF, LDAPURLs, LDAPv3 schema, etc.).

python-ldap-2.4.6-3.fc18.armv6hl: python-ldap provides an object-oriented API for working with LDAP within Python programs. It allows access to LDAP directory servers by wrapping the OpenLDAP 2.x libraries, and contains modules for other LDAP-related tasks (including processing LDIF, LDAPURLs, LDAPv3 schema, etc.).

python-jinja2-2.6-1.lbn13.noarch: Jinja2 is a template engine written in pure Python. It provides a Django inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. If you have any exposure to other text-based template languages, such as Smarty or Django, you should feel right at home with Jinja2. It's both designer and developer friendly by sticking to Python's principles and adding functionality useful for templating environments.

python-ipdb-0.7-1.lbn13.noarch: ipdb exports functions to access the IPython debugger, which features tab completion, syntax highlighting, better tracebacks, better introspection with the same interface as the pdb module. Example usage: import ipdb ipdb.set_trace() ipdb.pm() ipdb.run('x[0] = 3') result = ipdb.runcall(function, arg0, arg1, kwarg='foo') result = ipdb.runeval('f(1,2) - 3') The post-mortem function, ipdb.pm(), is equivalent to the magic function %debug. If you install ipdb with a tool which supports setuptools entry points, an ipdb script is made for you. You can use it to debug your scripts like $ bin/ipdb mymodule.py With Python 2.7 only, you can also use $ python -m ipdb mymodule.py You can also enclose code with the with statement to launch ipdb if an exception is raised: from ipdb import launch_ipdb_on_exception with launch_ipdb_on_exception(): [...]

python-interlude-1.0-2.lbn13.noarch: Interlude for Doctests provides an Interactive Console.

python-initgroups-2.13.0-2.lbn13.x86_64: Convenience uid/gid helper function used in Zope2.

python-imaging-1.1.7-7.fc18.armv6hl: Python Imaging Library The Python Imaging Library (PIL) adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and powerful image processing capabilities. Notice that in order to reduce the package dependencies there are three subpackages: devel (for development); tk (to interact with the tk interface) and sane (scanning devices interface).

python-imaging-1.1.6-17.fc12.x86_64: Python Imaging Library The Python Imaging Library (PIL) adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and powerful image processing capabilities. Notice that in order to reduce the package dependencies there are three subpackages: devel (for development); tk (to interact with the tk interface) and sane (scanning devices interface).

python-icalendar-3.4-2.lbn13.noarch: iCalendar specification (RFC 2445) defines calendaring format used by many applications (Zimbra, Thunderbird and others). This module is a parser/generator of iCalendar files for use with Python. It follows the RFC 2445 (iCalendar) specification. The aim is to make a package that is fully compliant with RFC 2445, well designed, simple to use and well documented.

python-i18ndude-3.2.2-2.lbn13.noarch: i18ndude performs various tasks related to ZPT's, Python Scripts and i18n.

python-htmllaundry-2.0-1.lbn13.noarch: This package contains several handy python methods to cleanup HTML markup or perform other common changes. The cleanup is strict enough to be able to clean HTML pasted from MS Word or Apple Pages. This package also contains integration code for z3c.form to provide fields that automatically sanitize HTML on save. The implementation is based on the Cleaner class from lxml.

python-html5lib-0.90-2.lbn13.noarch: html5lib

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