Version & setup for new release

README.md

@@ -4,7 +4,7 @@
 [![Latest Version](https://img.shields.io/pypi/v/neurodsp.svg)](https://pypi.python.org/pypi/neurodsp/)
 [![Build Status](https://travis-ci.org/neurodsp-tools/neurodsp.svg)](https://travis-ci.org/neurodsp-tools/neurodsp)
 [![codecov](https://codecov.io/gh/neurodsp-tools/neurodsp/branch/master/graph/badge.svg)](https://codecov.io/gh/neurodsp-tools/neurodsp)
-[![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat)](LICENSE.md)
+[![License](https://img.shields.io/pypi/l/neurodsp.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Supported Python Versions](https://img.shields.io/pypi/pyversions/neurodsp.svg)](https://pypi.python.org/pypi/neurodsp/)
 [![DOI](http://joss.theoj.org/papers/10.21105/joss.01272/status.svg)](https://doi.org/10.21105/joss.01272)
 
@@ -14,8 +14,9 @@ A package of tools to analyze and simulate neural time series, using digital sig
 
 Documentation for the NeuroDSP module is available [here](https://neurodsp-tools.github.io/neurodsp/).
 
-The documentation also includes a full set of [tutorials](https://neurodsp-tools.github.io/neurodsp/auto_tutorials/index.html)
-covering the functionality of NeuroDSP.
+The documentation also includes a set of [tutorials](https://neurodsp-tools.github.io/neurodsp/auto_tutorials/index.html)
+describing each module in NeuroDSP, as well as a set of [examples](https://neurodsp-tools.github.io/neurodsp/auto_examples/index.html)
+of applications of NeuroDSP.
 
 If you have a question about using NeuroDSP that doesn't seem to be covered by the documentation, feel free to
 open an [issue](https://github.com/neurodsp-tools/neurodsp/issues) and ask!
@@ -36,23 +37,23 @@ We recommend using the [Anaconda](https://www.continuum.io/downloads) distributi
 
 **Stable Release Version**
 
-To install the latest release of neurodsp, you can install from pip:
+To install the latest stable release, use pip:
 
 `$ pip install neurodsp`
 
 **Development Version**
 
-To get the development version (updates that are not yet published to pip), you can clone this repo.
+To get the current development version, first clone this repository:
 
 `$ git clone https://github.com/neurodsp-tools/neurodsp`
 
-To install this cloned copy of neurodsp, move into the directory you just cloned, and run:
+To install this cloned copy, move into the directory you just cloned, and run:
 
 `$ pip install .`
 
 **Editable Version**
 
-If you want to install an editable version, for making contributions, download the development version as above, and run:
+To install an editable version, download the development version as above, and run:
 
 `$ pip install -e .`
 

doc/conf.py

@@ -110,7 +110,7 @@
     'navbar_links': [
         ("API", "api"),
         ("Glossary", "glossary"),
-        ("Tutorial", "auto_tutorials/index"),
+        ("Tutorials", "auto_tutorials/index"),
         ("Examples", "auto_examples/index"),
         ("GitHub", "https://github.com/neurodsp-tools/neurodsp", True)
     ],

neurodsp/version.py

@@ -1 +1 @@
-__version__ = '2.0.0rc1'
+__version__ = '2.0.0'

setup.py

@@ -16,7 +16,7 @@
 Neurodsp
 ========
 
-A package of tools to analyze and simulate neural time series, using digital signal processing.
+NeuroDSP is package of tools to analyze and simulate neural time series, using digital signal processing.
 
 Available modules in NeuroDSP include:
 
@@ -27,27 +27,36 @@
 - timefrequency : Estimate instantaneous measures of oscillatory activity
 - sim : Simulate time series, including periodic and aperiodic signal components
 - plts : Plotting functions
+
+If you use this code in your project, please cite:
+
+Cole, S., Donoghue, T., Gao, R., & Voytek, B. (2019). NeuroDSP: A package for
+neural digital signal processing. Journal of Open Source Software, 4(36), 1272.
+https://doi.org/10.21105/joss.01272
+
+Direct Link: https://doi.org/10.21105/joss.01272
 """
 
 setup(
     name = 'neurodsp',
     version = __version__,
-    description = 'Digital Signal Processing for Neural time series',
+    description = 'Digital signal processing for neural time series.',
     long_description = long_description,
     author = 'The Voytek Lab',
     author_email = '[email protected]',
     url = 'https://github.com/neurodsp-tools/neurodsp',
     packages = find_packages(),
-    license = 'MIT',
+    license = 'Apache License, 2.0',
     download_url = 'https://github.com/neurodsp-tools/neurodsp/releases',
-    keywords = ['neuroscience', 'neural oscillations', 'time series analysis', 'spectral analysis', 'LFP'],
+    keywords = ['neuroscience', 'neural oscillations', 'time series analysis', 'local field potentials',
+                'spectral analysis', 'time frequency analysis', 'electrophysiology'],
     install_requires = ['numpy', 'scipy', 'matplotlib'],
     tests_require = ['pytest'],
     classifiers = [
-        'Development Status :: 4 - Beta',
+        'Development Status :: 5 - Production/Stable',
         'Intended Audience :: Science/Research',
         'Topic :: Scientific/Engineering',
-        'License :: OSI Approved :: MIT License',
+        'License :: OSI Approved :: Apache Software License',
         'Operating System :: MacOS :: MacOS X',
         'Operating System :: Microsoft :: Windows',
         'Operating System :: POSIX :: Linux',