diff --git a/joblib-0.11.tar.gz b/joblib-0.11.tar.gz
deleted file mode 100644
index dd4d24f..0000000
--- a/joblib-0.11.tar.gz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7b8fd56df36d9731a83729395ccb85a3b401f62a96255deb1a77220c00ed4085
-size 213136
diff --git a/joblib-0.12.1.tar.gz b/joblib-0.12.1.tar.gz
new file mode 100644
index 0000000..b18e14d
--- /dev/null
+++ b/joblib-0.12.1.tar.gz
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68e6128e4734196616a39e2d48830ec7d61551c7f5748849e4c91478d2444524
+size 268415
diff --git a/python-joblib.changes b/python-joblib.changes
index afa39a5..7ef6db3 100644
--- a/python-joblib.changes
+++ b/python-joblib.changes
@@ -1,3 +1,68 @@
+-------------------------------------------------------------------
+Wed Jul 18 03:03:33 UTC 2018 - arun@gmx.de
+
+- specfile:
+  * remove devel requirement
+
+- update to version 0.12.1:
+  * Make sure that any exception triggered when serializing jobs in
+    the queue will be wrapped as a PicklingError as in past versions
+    of joblib.
+  * Fix kwonlydefaults key error in filter_args (#715)
+
+- changes from version 0.12:
+  * Implement the 'loky' backend with @ogrisel. This backend relies on
+    a robust implementation of concurrent.futures.ProcessPoolExecutor
+    with spawned processes that can be reused accross the Parallel
+    calls. This fixes the bad interation with third paty libraries
+    relying on thread pools, described in
+    https://pythonhosted.org/joblib/parallel.html#bad-interaction-of-multiprocessing-and-third-party-libraries
+  * Limit the number of threads used in worker processes by
+    C-libraries that relies on threadpools. This functionality works
+    for MKL, OpenBLAS, OpenMP and Accelerated.
+  * Prevent numpy arrays with the same shape and data from hashing to
+    the same memmap, to prevent jobs with preallocated arrays from
+    writing over each other.
+  * Reduce overhead of automatic memmap by removing the need to hash
+    the array.
+  * Make Memory.cache robust to PermissionError (errno 13) under
+    Windows when run in combination with Parallel.
+  * The automatic array memory mapping feature of Parallel does no
+    longer use /dev/shm if it is too small (less than 2 GB). In
+    particular in docker containers /dev/shm is only 64 MB by default
+    which would cause frequent failures when running joblib in Docker
+    containers.
+  * Make it possible to hint for thread-based parallelism with
+    prefer='threads' or enforce shared-memory semantics with
+    require='sharedmem'.
+  * Rely on the built-in exception nesting system of Python 3 to
+    preserve traceback information when an exception is raised on a
+    remote worker process. This avoid verbose and redundant exception
+    reports under Python 3.
+  * Preserve exception type information when doing nested Parallel
+    calls instead of mapping the exception to the generic
+    JoblibException type.
+  * Introduce the concept of 'store' and refactor the Memory internal
+    storage implementation to make it accept extra store backends for
+    caching results. backend and backend_options are the new options
+    added to Memory to specify and configure a store backend.
+  * Add the register_store_backend function to extend the store
+    backend used by default with Memory. This default store backend is
+    named 'local' and corresponds to the local filesystem.
+  * The store backend API is experimental and thus is subject to
+    change in the future without deprecation.
+  * The cachedir parameter of Memory is now marked as deprecated, use
+    location instead.
+  * Add support for LZ4 compression if lz4 package is installed.
+  * Add register_compressor function for extending available
+    compressors.
+  * Allow passing a string to compress parameter in dump funtion. This
+    string should correspond to the compressor used (e.g. zlib, gzip,
+    lz4, etc). The default compression level is used in this case.
+  * Allow parallel_backend to be used globally instead of only as a
+    context manager. Support lazy registration of external parallel
+    backends
+
 -------------------------------------------------------------------
 Thu Jan 11 22:12:57 UTC 2018 - jengelh@inai.de
 
diff --git a/python-joblib.spec b/python-joblib.spec
index a3275c3..5301516 100644
--- a/python-joblib.spec
+++ b/python-joblib.spec
@@ -16,28 +16,25 @@
 #
 
 
-%bcond_with test
-
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
+%bcond_with test
 Name:           python-joblib
-Version:        0.11
+Version:        0.12.1
 Release:        0
 Summary:        Lightweight pipelining: using Python functions as pipeline jobs
 License:        BSD-3-Clause
 Group:          Development/Languages/Python
-Url:            https://github.com/joblib/joblib
+URL:            https://github.com/joblib/joblib
 Source:         https://files.pythonhosted.org/packages/source/j/joblib/joblib-%{version}.tar.gz
-BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module setuptools}
 BuildRequires:  fdupes
 BuildRequires:  python-rpm-macros
+Recommends:     python-numpy
+BuildArch:      noarch
 %if %{with test}
 BuildRequires:  %{python_module numpy}
 BuildRequires:  %{python_module pytest}
 %endif
-Recommends:     python-numpy
-BuildRoot:      %{_tmppath}/%{name}-%{version}-build
-BuildArch:      noarch
 %python_subpackages
 
 %description
@@ -53,7 +50,6 @@ Python. In particular, joblib offers:
 
 Joblib can handle large data and has specific optimizations for `numpy` arrays.
 
-
 %prep
 %setup -q -n joblib-%{version}
 
@@ -70,8 +66,8 @@ Joblib can handle large data and has specific optimizations for `numpy` arrays.
 %endif
 
 %files %{python_files}
-%defattr(-,root,root,-)
-%doc LICENSE.txt README.rst
+%license LICENSE.txt
+%doc README.rst
 %{python_sitelib}/joblib-%{version}-py*.egg-info
 %{python_sitelib}/joblib/