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Merged
merged 1 commit into from
Dec 27, 2016
Merged

package names #450

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19 changes: 18 additions & 1 deletion winpython/data/packages.ini
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Expand Up @@ -289,6 +289,9 @@ description=Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+
[functools32]
description=Backport of the functools module from Python 3.2.3 for use on 2.7 and PyPy.

[fuzzywuzzy]
description=Fuzzy string matching in python

[gensim]
description=Python framework for fast Vector Space Modelling

Expand Down Expand Up @@ -521,6 +524,9 @@ description=The Mayavi scientific data 3-dimensional visualizer.
[mccabe]
description=McCabe checker, plugin for flake8

[metakernel]
description=Metakernel for Jupyter

[mingwpy]
description=the python friendly windows compiler toolchain
url=https://anaconda.org/carlkl/mingwpy
Expand Down Expand Up @@ -628,6 +634,9 @@ description=Sphinx extension to support docstrings in Numpy format
[oauth2client]
description=OAuth 2.0 client library

[octave_kernel]
description=A Jupyter kernel for Octave.

[oct2py]
description=Python to GNU Octave bridge --> run m-files from python.

Expand Down Expand Up @@ -679,13 +688,15 @@ category=dataoric
[pdfrw]
description=pure Python library that reads and writes PDFs


[peewee]
description=a small, expressive ORM.

[pep8]
description=Python style guide checker

[pexpect]
description=Pexpect allows easy control of interactive console applications.

[pg8000]
description=PostgreSQL interface library

Expand Down Expand Up @@ -946,6 +957,9 @@ description=High performance graph data structures and algorithms
[python-qwt]
description=Qt plotting widgets for Python

[python-Levenshtein]
description=Python extension for computing string edit distances and similarities

[pythonnet]
description=.Net and Mono integration for Python

Expand Down Expand Up @@ -1070,6 +1084,9 @@ category=dataproc
description=Time series manipulation
category=dataproc

[scikit-fuzzy]
description=Fuzzy logic toolkit for SciPy

[scikit-learn]
description=A set of Python modules for machine learning and data mining
category=scientific
Expand Down