diff --git a/.cvsignore b/.cvsignore
index 392f29b..8aca7b4 100644
--- a/.cvsignore
+++ b/.cvsignore
@@ -1 +1 @@
-scipy-0.5.2.1.tar.gz
+scipy-0.6.0.tar.gz
diff --git a/scipy.spec b/scipy.spec
index 2bc59e0..c86366e 100644
--- a/scipy.spec
+++ b/scipy.spec
@@ -1,40 +1,50 @@
 %define python_sitearch %(%{__python} -c 'from distutils import sysconfig; print sysconfig.get_python_lib(1)')
 
-Summary: Scipy: array processing for numbers, strings, records, and objects
+Summary: Scipy: Scientific Tools for Python
 Name: scipy
-Version: 0.5.2.1
-Release: 1%{?dist}
+Version: 0.6.0
+Release: 3%{?dist}
 
 Group: Development/Libraries
 License: BSD and LGPLv2+
-Url: http://numeric.scipy.org
+Url: http://www.scipy.org
 Source0: http://prdownloads.sourceforge.net/scipy/%{name}-%{version}.tar.gz
 
 BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-root-%(%{__id_u} -n)
 
-BuildRequires: numpy, python-devel 
-BuildRequires: fftw-devel, blas-devel, lapack-devel
-BuildRequires: gcc-gfortran
+BuildRequires: numpy, python-devel
+BuildRequires: fftw-devel, blas-devel, lapack-devel, ufsparse-devel
+BuildRequires: gcc-gfortran, swig
 Requires: numpy, python
 
 
 %description
-Scipy is a general-purpose array-processing package designed to
-efficiently manipulate large multi-dimensional arrays of arbitrary
-records without sacrificing too much speed for small multi-dimensional
-arrays.  Scipy is built on the Numeric code base and adds features
-introduced by numarray as well as an extended C-API and the ability to
-create arrays of arbitrary type.
-
-There are also basic facilities for discrete fourier transform,
-basic linear algebra and random number generation.
+Scipy is open-source software for mathematics, science, and
+engineering. The core library is NumPy which provides convenient and
+fast N-dimensional array manipulation. The SciPy library is built to
+work with NumPy arrays, and provides many user-friendly and efficient
+numerical routines such as routines for numerical integration and
+optimization. Together, they run on all popular operating systems, are
+quick to install, and are free of charge. NumPy and SciPy are easy to
+use, but powerful enough to be depended upon by some of the world's
+leading scientists and engineers.
 
 
 %prep
 %setup -q
+cat > site.cfg << EOF
+[amd]
+library_dirs = %{_libdir}
+include_dirs = /usr/include/suitesparse:/usr/include/ufsparse
+amd_libs = amd
+
+[umfpack]
+library_dirs = %{_libdir}
+include_dirs = /usr/include/suitesparse:/usr/include/ufsparse
+umfpack_libs = umfpack
+EOF
 
 %build
-ln -s Lib scipy
 env CFLAGS="$RPM_OPT_FLAGS" ATLAS=%{_libdir} FFTW=%{_libdir} BLAS=%{_libdir} LAPACK=%{_libdir} python setup.py config_fc --fcompiler=gnu95 --noarch build
 
 
@@ -55,6 +65,19 @@ rm -rf $RPM_BUILD_ROOT
 
 
 %changelog
+* Wed Oct 03 2007 Jef Spaleta <jspaleta@gmail.com> - 0.6.0-3
+- include_dirs changes for ufsparse change in development
+
+* Tue Oct 02 2007 Jef Spaleta <jspaleta@gmail.com> - 0.6.0-2
+- Fix licensing to match Fedora packaging guidance
+- Remove unnecessary library deps
+
+* Tue Sep 25 2007 Jarrod Millman <millman@berkeley.edu> - 0.6.0-1
+- update to new upstream source
+- update Summary, License, Url, and description
+- added extra dependencies
+- remove symlink since Lib has been renamed scipy
+
 * Tue Aug 21 2007 Jef Spaleta <jspaleta@gmail.com> - 0.5.2.1-1
 - Update to new upstream source
 
diff --git a/sources b/sources
index c7c3781..0080e4c 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-8d9083b94b0bbbc96a96099f68e62526  scipy-0.5.2.1.tar.gz
+417adf3bfe03f4c23c9fb265018e545c  scipy-0.6.0.tar.gz