Update documentation and README

Author: robertodr

CHANGELOG.md

@@ -5,6 +5,7 @@
 - Many new functionals in the SCAN family have been added. Thanks to James
   Furness for the contribution.
   See [PR #140](https://github.com/dftlibs/xcfun/pull/140)
+- The library is now available both as a Spack and a Conda package.
 - The library can now be _natively_ compiled on Linux, macOS, and Windows.
 
 ### Changed
@@ -125,6 +126,7 @@ modernize the library. See the [migration guide](https://xcfun.readthedocs.io/en
 - **BREAKING** The Fortran interface is no longer build with the code, but
   shipped as a separate file to be compiled within your own Fortran code.
 
+[Version 2.1.0]: https://github.com/dftlibs/xcfun/compare/v2.0.2...v2.1.0
 [Version 2.0.2]: https://github.com/dftlibs/xcfun/compare/v2.0.1...v2.0.2
 [Version 2.0.1]: https://github.com/dftlibs/xcfun/compare/v2.0.0...v2.0.1
 [Version 2.0.0]: https://github.com/dftlibs/xcfun/compare/v2.0.0a7...v2.0.0

README.md

@@ -3,10 +3,6 @@
 [![GitHub license](https://img.shields.io/github/license/dftlibs/xcfun.svg?style=flat-square)](https://github.com/dftlibs/xcfun/blob/master/LICENSE.md)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3576419.svg)](https://doi.org/10.5281/zenodo.3576419)
 
-[![GitHub issues](https://img.shields.io/github/issues/dftlibs/xcfun.svg?style=flat-square)](https://github.com/dftlibs/xcfun/issues)
-[![GitHub forks](https://img.shields.io/github/forks/dftlibs/xcfun.svg?style=flat-square)](https://github.com/dftlibs/xcfun/network)
-[![GitHub stars](https://img.shields.io/github/stars/dftlibs/xcfun.svg?style=flat-square)](https://github.com/dftlibs/xcfun/stargazers)
-
 # XCFun: A library of exchange-correlation functionals with arbitrary-order derivatives
 
 Copyright Ulf Ekström and [contributors](.zenodo.json) 2009-2020.
@@ -23,4 +19,6 @@ XCFun is licensed under version 2.0 of the Mozilla Public License
 
 The documentation is available at https://xcfun.readthedocs.io.
 
-XCFun can now be installed in a [Spack](https://spack.io) environment: https://xcfun.readthedocs.io/en/latest/using.html#installing-using-spack
+XCFun can be installed with popular package managers:
+  - [Spack](https://spack.io): https://xcfun.readthedocs.io/en/latest/using.html#installing-using-spack
+  - [Conda](https://docs.conda.io): https://xcfun.readthedocs.io/en/latest/using.html#installing-using-conda

docs/using.rst

@@ -32,6 +32,18 @@ XCFun can be installed in a `Spack
   spack install xcfun
 
 
+Installing using Conda
+----------------------
+
+XCFun can be installed in a `Conda
+<https://docs.conda.io/>`_ environment with::
+
+  conda create -n myenv xcfun -c conda-forge
+  conda activate myenv
+
+The package is built with derivatives up to 8th order and includes the Python bindings.
+
+
 .. _integration:
 
 Integration with your build system