Prepare for pypi release

.travis.yml

@@ -1,11 +1,18 @@
 language: python
 python:
-  - "3.6"
+- '3.6'
 before_install:
-  - pip install pytest nbval django coveralls pytest-cov
+- pip install pytest nbval django coveralls pytest-cov
 install:
-  - python setup.py install
+- python setup.py install
 script:
-  - pytest --nbval --cov=thunor
+- pytest --nbval --cov=thunor
 after_success:
-  - coveralls
+- coveralls
+deploy:
+  provider: pypi
+  username: alubbock
+  password:
+    secure: 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
+  on:
+    tags: true

README.md

@@ -16,9 +16,17 @@ Thunor is written in pure Python and is compatible with Python 3 only.
 It makes extensive use of [pandas](http://pandas.pydata.org/) and 
 [plotly](http://plot.ly/python/).
 
-## Examples
+## Installation
 
-See the Jupyter notebook `tutorial.ipynb` for worked examples.
+Install using `pip`:
+
+```
+pip install thunor
+```
+
+## Examples and documentation
+
+See [Thunor Core documentation](https://core.thunor.net).
 
 ## Further help and resources
 

doc/installation.rst

@@ -3,6 +3,6 @@ Installation
 
 To install Thunor, you can use pip:
 
-    :command:`pip install git+git://github.com/alubbock/thunor.git`
+    :command:`pip install thunor`
 
 Please note that Python 3 is required (not compatible with Python 2.7).

setup.py

@@ -11,8 +11,8 @@ def main():
     setup(
         name='thunor',
         version=versioneer.get_version(),
-        description='Dose response curves and drug induced proliferation '
-                    '(DIP) rates in Python',
+        description='Dose response curve and drug induced proliferation '
+                    '(DIP) rate fits and visualisation',
         long_description=long_description,
         long_description_content_type='text/markdown',
         author='Alex Lubbock',