Release version 0.5

Author: rafguns

.travis.yml

@@ -18,8 +18,7 @@ after_success: coveralls
 deploy:
   provider: pypi
   user: rafguns
-  password:
-    secure: RCP8uJP9y4avKdRC1A5fkQFi00Ssgfn9gwhVpEoDVR0JkaZ+Ei9ZnseTPLbydeFxZmO1FwF7aR8ISdArjjvYxtYWmhjVLtTpkWQKvk/avT5rFNsR33eiZtzCOScJqXtrexF8IlRL4rYEKz2JA+kLnCVrfhTyx8jwdDZccC2bfH8=
+  password: secure: RCP8uJP9y4avKdRC1A5fkQFi00Ssgfn9gwhVpEoDVR0JkaZ+Ei9ZnseTPLbydeFxZmO1FwF7aR8ISdArjjvYxtYWmhjVLtTpkWQKvk/avT5rFNsR33eiZtzCOScJqXtrexF8IlRL4rYEKz2JA+kLnCVrfhTyx8jwdDZccC2bfH8=
   skip_existing: true
   on:
     tags: true

CHANGELOG.rst

@@ -0,0 +1,17 @@
+Changelog
+=========
+
+**Note**: I only started keeping this changelog from version 0.5 onwards.
+
+Version 0.5
+-----------
+
+- Python 3.8 officially supported!
+
+- Behind-the-scenes work: testing is now done with pytest and tox, formatting is done by black, and we are based on the latest version of networkx (2.4).
+
+- The Community predictor is now easier to use, also because its optional dependency (`python-louvain <https://github.com/taynaud/python-louvain>`_) is now on PyPI. If you want to use it, install as follows:
+
+    $ pip install linkpred[all]
+
+- Some bug fixes.

README.rst

@@ -19,7 +19,7 @@ While some predictors are fairly straightforward (e.g., if two people have a lar
 Installation
 ------------
 
-**linkpred** (on master) works under Python 3.6 and 3.7. Version 0.4.1 was the last to support versions 3.4 and 3.5.
+**linkpred** (v0.5 and later) works under Python 3.6, 3.7, and 3.8. Version 0.4.1 was the last to support versions 3.4 and 3.5.
 It depends on:
 
 - matplotlib
@@ -29,7 +29,7 @@ It depends on:
 - scipy
 - smokesignal
 
-You should be able to install linkpred and its dependencies using pip (``pip install linkpred`` or ``python -m pip install linkpred``). If youdo not yet have Python installed, I recommend starting with `Anaconda <https://www.continuum.io/downloads>`_, which includes optimized versions of packages like numpy.
+You should be able to install linkpred and its dependencies using pip (``pip install linkpred`` or ``python -m pip install linkpred``). If you do not yet have Python installed, I recommend starting with `Anaconda <https://www.continuum.io/downloads>`_, which includes optimized versions of packages like numpy. If you want to use the Community predictor, which relies on community structure of the network, make sure you also have the `python-louvain <https://github.com/taynaud/python-louvain>`_ package by installing with ``pip install linkpred[all]``.
 
 
 Example usage as command-line tool

setup.py

@@ -4,7 +4,7 @@
 
 setup(
     name="linkpred",
-    version="0.4.1",
+    version="0.5",
     url="http://github.com/rafguns/linkpred/",
     license="New BSD License",
     author="Raf Guns",