diff --git a/CMakeLists.txt b/CMakeLists.txt
index 56a1b55d7..bf5812cee 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -4,7 +4,7 @@ project(som CXX)
 set(CMAKE_BUILD_TYPE Release)
 
 # Version number of the application
-set(SOM_VERSION "0.9")
+set(SOM_VERSION "1.0")
 message(STATUS "Configuring SOM version ${SOM_VERSION}")
 
 # Append triqs installed files to the cmake load path
diff --git a/TODO.md b/TODO.md
deleted file mode 100644
index a720033e8..000000000
--- a/TODO.md
+++ /dev/null
@@ -1,3 +0,0 @@
-* Test all kernels and close #3 accordingly
-* Add automatic Python tests chi_*, chi_auto_* and zerotemp_*
-* Make sure all tests run successfully with versions 0.9 and 0.95
diff --git a/doc/example.py b/doc/example.py
index 25f76bb46..d56272c9f 100644
--- a/doc/example.py
+++ b/doc/example.py
@@ -36,6 +36,13 @@
 S.data[:] = 1.0
 
 # Construct a SOM object
+#
+# Valid observable kinds are 'FermionGf', 'BosonCorr', 'BosonAutoCorr' and 'ZeroTemp'
+#
+# Expected norms of spectral functions can be passed to the constructor as
+# norms = numpy.array([norm_1, norm_2, ..., norm_N]), where N is the matrix
+# dimension of g_input (only diagonal elements will be continued). All norms
+# are set to 1.0 by default.
 cont = Som(g_input, S, kind = "FermionGf")
 
 # Run!
diff --git a/doc/index.rst b/doc/index.rst
index 672f6e0b8..8afe40f4c 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -41,8 +41,3 @@ heights.
 on the Bayesian statistical inference (MaxEnt) or Padé approximants. Its primary design goal is
 the ability to resolve fine spectral features, rather than giving a quick insight into general shape
 of the spectrum.*
-
-.. warning::
-
-    The code is still of alpha-quality. All its parts are subject to change, including the Python API.
-    Be critical about obtained results and cross-check with other analytic continuation tools when possible.
diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt
index 84525a274..d93e9ea2a 100644
--- a/test/CMakeLists.txt
+++ b/test/CMakeLists.txt
@@ -1,2 +1 @@
 add_subdirectory(c++)
-add_subdirectory(python)
\ No newline at end of file
diff --git a/test/python/CMakeLists.txt b/test/python/CMakeLists.txt
deleted file mode 100644
index 2e9b6fdfc..000000000
--- a/test/python/CMakeLists.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-find_package(TriqsTest)
-
-file(GLOB all_h5_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.h5)
-file(COPY ${all_h5_files} DESTINATION .)
-
-triqs_add_python_test(gf_imtime)
-triqs_add_python_test(gf_imfreq)
-triqs_add_python_test(gf_legendre)
diff --git a/test/python/gf_imfreq.py b/test/python/gf_imfreq.py
deleted file mode 100644
index b2666e735..000000000
--- a/test/python/gf_imfreq.py
+++ /dev/null
@@ -1,62 +0,0 @@
-##############################################################################
-#
-# SOM: Stochastic Optimization Method for Analytic Continuation
-#
-# Copyright (C) 2016-2017 by I. Krivenko
-#
-# SOM is free software: you can redistribute it and/or modify it under the
-# terms of the GNU General Public License as published by the Free Software
-# Foundation, either version 3 of the License, or (at your option) any later
-# version.
-#
-# SOM is distributed in the hope that it will be useful, but WITHOUT ANY
-# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
-# details.
-#
-# You should have received a copy of the GNU General Public License along with
-# SOM. If not, see <http://www.gnu.org/licenses/>.
-#
-##############################################################################
-
-from pytriqs.gf.local import *
-from pytriqs.archive import HDFArchive
-import pytriqs.utility.mpi as mpi
-from pytriqs.applications.analytical_continuation.som import Som
-from pytriqs.utility.comparison_tests import *
-
-arch = HDFArchive('gf_imfreq.ref.h5', 'r')
-
-g_iw = arch['g_iw']
-
-cont = Som(g_iw, kind = "FermionGf")
-
-run_params = {'energy_window' : (-5,5)}
-run_params['verbosity'] = 3
-run_params['random_seed'] = 34788 + 928374 * mpi.rank
-run_params['adjust_f'] =  False
-run_params['adjust_l'] = False
-run_params['t'] = 100
-run_params['f'] = 50
-run_params['l'] = 30
-run_params['make_histograms'] = True
-
-cont.run(**run_params)
-
-g_rec_iw = g_iw.copy()
-g_rec_iw << cont
-
-g_w = GfReFreq(window = (-6.0,6.0), n_points = 1200, indices = g_iw.indices)
-g_w << cont
-
-if mpi.is_master_node():
-#    del arch
-#    with HDFArchive('gf_imfreq.ref.h5', 'a') as arch:
-#        arch['g_rec_iw'] = g_rec_iw
-#        arch['g_w'] = g_w
-#        arch['histograms'] = cont.histograms
-    assert_gfs_are_close(g_rec_iw, arch['g_rec_iw'])
-    assert_gfs_are_close(g_w, arch['g_w'], 6e-4)
-    assert_arrays_are_close(g_w.tail.data, arch['g_w'].tail.data, 6e-4)
-    assert_arrays_are_close(cont.histograms[0].data, arch['histograms'][0].data)
-    assert_arrays_are_close(cont.histograms[1].data, arch['histograms'][1].data)
diff --git a/test/python/gf_imfreq.ref.h5 b/test/python/gf_imfreq.ref.h5
deleted file mode 100644
index 937ced513..000000000
Binary files a/test/python/gf_imfreq.ref.h5 and /dev/null differ
diff --git a/test/python/gf_imtime.py b/test/python/gf_imtime.py
deleted file mode 100644
index c8ba6fe9b..000000000
--- a/test/python/gf_imtime.py
+++ /dev/null
@@ -1,62 +0,0 @@
-##############################################################################
-#
-# SOM: Stochastic Optimization Method for Analytic Continuation
-#
-# Copyright (C) 2016-2017 by I. Krivenko
-#
-# SOM is free software: you can redistribute it and/or modify it under the
-# terms of the GNU General Public License as published by the Free Software
-# Foundation, either version 3 of the License, or (at your option) any later
-# version.
-#
-# SOM is distributed in the hope that it will be useful, but WITHOUT ANY
-# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
-# details.
-#
-# You should have received a copy of the GNU General Public License along with
-# SOM. If not, see <http://www.gnu.org/licenses/>.
-#
-##############################################################################
-
-from pytriqs.gf.local import *
-from pytriqs.archive import HDFArchive
-import pytriqs.utility.mpi as mpi
-from pytriqs.applications.analytical_continuation.som import Som
-from pytriqs.utility.comparison_tests import *
-
-arch = HDFArchive('gf_imtime.ref.h5', 'r')
-
-g_tau = arch['g_tau']
-
-cont = Som(g_tau, kind = "FermionGf")
-
-run_params = {'energy_window' : (-5,5)}
-run_params['verbosity'] = 3
-run_params['random_seed'] = 34788 + 928374 * mpi.rank
-run_params['adjust_f'] =  False
-run_params['adjust_l'] = False
-run_params['t'] = 100
-run_params['f'] = 50
-run_params['l'] = 30
-run_params['make_histograms'] = True
-
-cont.run(**run_params)
-
-g_rec_tau = g_tau.copy()
-g_rec_tau << cont
-
-g_w = GfReFreq(window = (-6.0,6.0), n_points = 1200, indices = g_tau.indices)
-g_w << cont
-
-if mpi.is_master_node():
-#    del arch
-#    with HDFArchive('gf_imtime.ref.h5', 'a') as arch:
-#        arch['g_rec_tau'] = g_rec_tau
-#        arch['g_w'] = g_w
-#        arch['histograms'] = cont.histograms
-    assert_gfs_are_close(g_rec_tau, arch['g_rec_tau'])
-    assert_gfs_are_close(g_w, arch['g_w'], 1e-5)
-    assert_arrays_are_close(g_w.tail.data, arch['g_w'].tail.data, 1e-5)
-    assert_arrays_are_close(cont.histograms[0].data, arch['histograms'][0].data)
-    assert_arrays_are_close(cont.histograms[1].data, arch['histograms'][1].data)
diff --git a/test/python/gf_imtime.ref.h5 b/test/python/gf_imtime.ref.h5
deleted file mode 100644
index 9b1eef484..000000000
Binary files a/test/python/gf_imtime.ref.h5 and /dev/null differ
diff --git a/test/python/gf_legendre.py b/test/python/gf_legendre.py
deleted file mode 100644
index 36ae3c05c..000000000
--- a/test/python/gf_legendre.py
+++ /dev/null
@@ -1,62 +0,0 @@
-##############################################################################
-#
-# SOM: Stochastic Optimization Method for Analytic Continuation
-#
-# Copyright (C) 2016-2017 by I. Krivenko
-#
-# SOM is free software: you can redistribute it and/or modify it under the
-# terms of the GNU General Public License as published by the Free Software
-# Foundation, either version 3 of the License, or (at your option) any later
-# version.
-#
-# SOM is distributed in the hope that it will be useful, but WITHOUT ANY
-# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
-# details.
-#
-# You should have received a copy of the GNU General Public License along with
-# SOM. If not, see <http://www.gnu.org/licenses/>.
-#
-##############################################################################
-
-from pytriqs.gf.local import *
-from pytriqs.archive import HDFArchive
-import pytriqs.utility.mpi as mpi
-from pytriqs.applications.analytical_continuation.som import Som
-from pytriqs.utility.comparison_tests import *
-
-arch = HDFArchive('gf_legendre.ref.h5', 'r')
-
-g_l = arch['g_l']
-
-cont = Som(g_l, kind = "FermionGf")
-
-run_params = {'energy_window' : (-5,5)}
-run_params['verbosity'] = 3
-run_params['random_seed'] = 34228 + 921233 * mpi.rank
-run_params['adjust_f'] =  False
-run_params['adjust_l'] = False
-run_params['t'] = 100
-run_params['f'] = 50
-run_params['l'] = 30
-run_params['make_histograms'] = True
-
-cont.run(**run_params)
-
-g_rec_l = g_l.copy()
-g_rec_l << cont
-
-g_w = GfReFreq(window = (-6.0,6.0), n_points = 1200, indices = g_l.indices)
-g_w << cont
-
-if mpi.is_master_node():
-#    del arch
-#    with HDFArchive('gf_legendre.ref.h5', 'a') as arch:
-#        arch['g_rec_l'] = g_rec_l
-#        arch['g_w'] = g_w
-#        arch['histograms'] = cont.histograms
-    assert_gfs_are_close(g_rec_l, arch['g_rec_l'])
-    assert_gfs_are_close(g_w, arch['g_w'], 1e-5)
-    assert_arrays_are_close(g_w.tail.data, arch['g_w'].tail.data, 1e-5)
-    assert_arrays_are_close(cont.histograms[0].data, arch['histograms'][0].data)
-    assert_arrays_are_close(cont.histograms[1].data, arch['histograms'][1].data)
diff --git a/test/python/gf_legendre.ref.h5 b/test/python/gf_legendre.ref.h5
deleted file mode 100644
index dfcf01031..000000000
Binary files a/test/python/gf_legendre.ref.h5 and /dev/null differ