Add license to meta.yaml and accommodate Anaconda Inc

This adds license and license_family to the conda recipes and
s/Continuum Analytics/Anaconda/ as appropriate.

Closes #9

LICENSE

@@ -1,6 +1,6 @@
 BSD 2-Clause License
 
-Copyright (c) 2017, Continuum Analytics, Inc.
+Copyright (c) 2017, Anaconda, Inc.
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without

README.rst

@@ -21,7 +21,7 @@ Installing
 ----------
 
 The easiest way to install Pyculib and get updates is by using the
-`Anaconda Distribution <https://www.continuum.io/downloads>`__
+`Anaconda Distribution <https://www.anaconda.com/download>`__
 
 ::
 

condarecipe/meta.yaml

@@ -34,3 +34,9 @@ test:
   commands:
     - numba -s
     - python -m unittest -v pyculib
+
+about:
+    home: https://github.com/numba/pyculib
+    license: BSD
+    license_file: LICENSE
+    summary: Python bindings for CUDA libraries.

docs/quickstart.md

@@ -19,7 +19,7 @@ System requirements:
 ### Install from Anaconda
 
 Download and install Anaconda from
-[https://www.continuum.io/downloads](https://www.continuum.io/downloads).
+[https://www.anaconda.com/download](https://www.anaconda.com/download).
 
 In terminal:
 

docs/source/conf.py

@@ -53,8 +53,8 @@
 
 # General information about the project.
 project = 'Pyculib'
-copyright = '2017, Continuum Analytics, Inc.'
-author = 'Continuum Analytics, Inc.'
+copyright = '2017, Anaconda, Inc.'
+author = 'Anaconda, Inc.'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -229,7 +229,7 @@
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
   (master_doc, 'Pyculib.tex', 'Pyculib Documentation',
-   'Continuum Analytics, Inc.', 'manual'),
+   'Anaconda, Inc.', 'manual'),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of

docs/source/index.rst

@@ -6,7 +6,7 @@ Pyculib
 
 Pyculib is a package that provides access to several numerical libraries that are optimized for performance on NVidia GPUs.
 
-Pyculib was originally part of Accelerate, developed by Continuum Analytics Inc.
+Pyculib was originally part of Accelerate, developed by Anaconda, Inc.
 
 The current version, 1.0.1, was released on July 27, 2017.
 

docs/source/install.rst

@@ -18,12 +18,12 @@ Installing Pyculib
 =====================
 
 If you already have the `Anaconda free
-Python distribution <http://continuum.io/downloads.html>`_, take the following steps to install Pyculib:  
+Python distribution <https://www.anaconda.com/download>`_, take the following steps to install Pyculib:  
 
 #. Run the command ``conda update conda``.
 #. Run the command ``conda install pyculib``.
 
-If you do not have Anaconda installed, see `Downloads <http://continuum.io/downloads.html>`_.
+If you do not have Anaconda installed, see `Downloads <https://www.anaconda.com/download>`_.
 
 NOTE: Pyculib can also be installed into your own non-Anaconda Python environment via pip or setuptools.
 

setup.py

@@ -38,9 +38,9 @@ def run(self):
         name='pyculib',
         description='Pyculib - python bindings for NVIDIA CUDA libraries',
         long_description=long_description,
-        author='Continuum Analytics, Inc.',
-        author_email='support@continuum.io',
-        url='http://continuum.io',
+        author='Anaconda, Inc.',
+        author_email='support@anaconda.com',
+        url='https://anaconda.com',
         packages=packages,
         license='BSD',
         version=versioneer.get_version(),