update readme

README.md

@@ -1,5 +1,13 @@
 # `berny` — Molecular optimizer
 
+[![build](https://img.shields.io/travis/azag0/pyberny/master.svg)](https://travis-ci.org/azag0/pyberny)
+[![coverage](https://img.shields.io/codecov/c/github/azag0/pyberny.svg)](https://codecov.io/gh/azag0/pyberny)
+![python](https://img.shields.io/pypi/pyversions/pyberny.svg)
+[![pypi](https://img.shields.io/pypi/v/pyberny.svg)](https://pypi.org/project/pyberny/)
+[![commits since](https://img.shields.io/github/commits-since/azag0/pyberny/latest.svg)](https://github.com/azag0/pyberny/releases)
+[![last commit](https://img.shields.io/github/last-commit/azag0/pyberny.svg)](https://github.com/azag0/pyberny/commits/master)
+[![license](https://img.shields.io/github/license/azag0/pyberny.svg)](https://github.com/azag0/pyberny/blob/master/LICENSE)
+
 This Python 2/3 package can optimize molecular and crystal structures with respect to total energy, using nuclear gradient information.
 
 In each step, it takes energy and Cartesian gradients as an input, and returns a new structure estimate.
@@ -8,7 +16,7 @@ The algorithm is an amalgam of several techniques, comprising redundant internal
 
 ## Installing
 
-Install and update using [pip](https://pip.pypa.io/en/stable/quickstart/):
+Install and update using [Pip](https://pip.pypa.io/en/stable/quickstart/):
 
 ```
 pip install -U pyberny
@@ -27,4 +35,4 @@ for geom in optimizer:
 
 ## Links
 
--   Documentation: <https://pyberny.readthedocs.io/en/latest/>
+- Documentation: <https://azag0.github.io/pyberny>

docs/conf.py

@@ -7,17 +7,19 @@
 
 sys.path.insert(0, os.path.abspath('..'))
 
+
 class Mock(MagicMock):
     @classmethod
     def __getattr__(cls, name):
         return MagicMock()
 
+
 MOCK_MODULES = ['numpy', 'numpy.linalg']
 sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)
 
 metadata = toml.load(open('../pyproject.toml'))['tool']['poetry']
 
-project = 'pyberny'
+project = 'berny'
 version = metadata['version']
 author = ' '.join(metadata['authors'][0].split()[:-1])
 description = metadata['description']