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python2-mongoengine-0.10.6-2.lbn19.noarch
MongoEngine is a Document-Object Mapper (think ORM,
but for document databases) for working with MongoDB
from Python. It uses a simple declarative API, similar
to the Django ORM.
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python2-mox3-0.14.0-1.lbn19.noarch
Mox3 is a mock object framework for Python 3 and 2.7.
Mox3 is an unofficial port of the Google mox framework to Python 3. It was
meant to be as compatible with mox as possible, but small enhancements have
been made.
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python2-msgpack-0.4.7-3.lbn19.x86_64
MessagePack is a binary-based efficient data interchange format that is
focused on high performance. It is like JSON, but very fast and small.
This is a Python (de)serializer for MessagePack.
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python2-ndg_httpsclient-0.4.0-3.lbn19.noarch
This is a HTTPS client implementation for httplib and urllib2 based on
PyOpenSSL. PyOpenSSL provides a more fully featured SSL implementation
over the default provided with Python and importantly enables full
verification of the SSL peer. This is the python2 library.
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python2-networkx-1.11-3.lbn19.noarch
NetworkX is a Python 2 package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
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python2-networkx-core-1.11-3.lbn19.noarch
NetworkX is a Python 2 package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
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python2-networkx-drawing-1.11-3.lbn19.noarch
NetworkX is a Python 3 package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
This package provides support for graph visualizations.
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python2-networkx-geo-1.11-3.lbn19.noarch
NetworkX is a Python 3 package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
This package provides GDAL I/O support.
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python2-numpy-1.11.0-4.lbn19.x86_64
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation. Also included in
this package is a version of f2py that works properly with NumPy.
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python2-numpy-f2py-1.11.0-4.lbn19.x86_64
This package includes a version of f2py that works properly with NumPy.
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