release 0.9.0

WZBSocialScienceCenter · Dec 20, 2019 · 1cbdcdf · 1cbdcdf
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diff --git a/README.rst b/README.rst
@@ -93,12 +93,6 @@ Limits
 Installation
 ============
 
-.. warning::
-
-    This package is currently in pre-release testing phase for version 0.9.0. The latest release candidate is available
-    on PyPI and can be only installed when explicitly stating the exact version and release candidate, e.g. with
-    ``pip install tmtoolkit[recommended]==0.9.0rc3``.
-
 
 The package *tmtoolkit* is available on `PyPI <https://pypi.org/project/tmtoolkit/>`_ and can be installed via
 Python package manager *pip*. It is highly recommended to install tmtoolkit and its dependencies in a

diff --git a/doc/source/data/news_articles_100.xlsx b/doc/source/data/news_articles_100.xlsx
diff --git a/doc/source/install.rst b/doc/source/install.rst
@@ -3,12 +3,6 @@
 Installation
 ============
 
-.. warning::
-
-    This package is currently in pre-release testing phase for version 0.9.0. The latest release candidate is available
-    on PyPI and can be only installed when explicitly stating the exact version and release candidate, e.g. with
-    ``pip install tmtoolkit[recommended]==0.9.0rc3``.
-
 The package *tmtoolkit* is available on `PyPI <https://pypi.org/project/tmtoolkit/>`_ and can be installed via
 Python package manager *pip*. It is highly recommended to install tmtoolkit and its dependencies in a
 `Python Virtual Environment ("venv") <https://docs.python.org/3/tutorial/venv.html>`_ and upgrade to the latest

diff --git a/doc/source/intro.rst b/doc/source/intro.rst
@@ -1,6 +1,8 @@
 tmtookit: Text mining and topic modeling toolkit
 ================================================
 
+|pypi| |pypi_downloads| |rtd| |travis| |coverage|
+
 *tmtoolkit* is a set of tools for text mining and topic modeling with Python developed especially for the use in the
 social sciences. It aims for easy installation, extensive documentation and a clear programming interface while
 offering good performance on large datasets by the means of vectorized operations (via NumPy) and parallel computation
@@ -112,3 +114,24 @@ to follow along using these notebooks, you can
 
 There are also a few other examples as plain Python scripts available in the
 `examples folder <https://github.com/WZBSocialScienceCenter/tmtoolkit/tree/master/examples>`_ of the GitHub repository.
+
+
+.. |pypi| image:: https://badge.fury.io/py/tmtoolkit.svg
+    :target: https://badge.fury.io/py/tmtoolkit
+    :alt: PyPI Version
+
+.. |pypi_downloads| image:: https://img.shields.io/pypi/dm/tmtoolkit
+    :target: https://pypi.org/project/tmtoolkit/
+    :alt: Downloads from PyPI
+
+.. |travis| image:: https://travis-ci.org/WZBSocialScienceCenter/tmtoolkit.svg?branch=master
+    :target: https://travis-ci.org/WZBSocialScienceCenter/tmtoolkit
+    :alt: Travis CI Build Status
+
+.. |coverage| image:: https://raw.githubusercontent.com/WZBSocialScienceCenter/tmtoolkit/master/coverage.svg?sanitize=true
+    :target: https://github.com/WZBSocialScienceCenter/tmtoolkit/tree/master/tests
+    :alt: Coverage status
+
+.. |rtd| image:: https://readthedocs.org/projects/tmtoolkit/badge/?version=latest
+    :target: https://tmtoolkit.readthedocs.io/en/latest/?badge=latest
+    :alt: Documentation Status
diff --git a/doc/source/preprocessing.ipynb b/doc/source/preprocessing.ipynb
diff --git a/doc/source/text_corpora.ipynb b/doc/source/text_corpora.ipynb
@@ -197,6 +197,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "sample2 :\n",
+      "Here comes the second example.\n",
+      "\n",
+      "This one contains three lines of plain text which means two paragraphs.\n",
+      "---\n",
+      "\n",
       "sample1 :\n",
       "This is the first example file. ☺\n",
       "---\n",
@@ -210,12 +216,6 @@
       "\n",
       "The third and final paragraph.\n",
       "---\n",
-      "\n",
-      "sample2 :\n",
-      "Here comes the second example.\n",
-      "\n",
-      "This one contains three lines of plain text which means two paragraphs.\n",
-      "---\n",
       "\n"
      ]
     }

diff --git a/doc/source/topic_modeling.ipynb b/doc/source/topic_modeling.ipynb
diff --git a/doc/source/version_history.rst b/doc/source/version_history.rst
@@ -3,8 +3,8 @@
 Version history
 ===============
 
-0.9.0 - upcoming
-----------------
+0.9.0 - 2019-12-20
+------------------
 
 * added usage and API documentation
 * added support for Arun 2010 metric in `tm_gensim` (thx to @mcooper)

diff --git a/setup.py b/setup.py
@@ -8,7 +8,7 @@
 from setuptools import setup, find_packages
 
 __title__ = 'tmtoolkit'
-__version__ = '0.9.0-rc3'
+__version__ = '0.9.0'
 __author__ = 'Markus Konrad'
 __license__ = 'Apache License 2.0'
 

diff --git a/tmtoolkit/__init__.py b/tmtoolkit/__init__.py
@@ -8,6 +8,6 @@
 
 
 __title__ = 'tmtoolkit'
-__version__ = '0.9.0-rc3'
+__version__ = '0.9.0'
 __author__ = 'Markus Konrad'
 __license__ = 'Apache License 2.0'