package names

stonebig · stonebig · commit 43fdc32950a4 · 2016-12-27T20:07:53.000+01:00
diff --git a/winpython/data/packages.ini b/winpython/data/packages.ini
@@ -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
 
@@ -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   
@@ -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.
 
@@ -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
 
@@ -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
 
@@ -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
