diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.bsc b/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.bsc
new file mode 100644
index 00000000..88c8f333
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.bsc
@@ -0,0 +1,13 @@
+
+
+
+ FEM-Design Batch template
+ 2300
+ sframe
+ batchtable.log
+
+
+
+
+
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.csv b/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.csv
new file mode 100644
index 00000000..510f67b5
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/comb-nodal-displacements.csv
@@ -0,0 +1,1375 @@
+Nodal displacements, Load comb.: combo1
+ID Node ex ey ez φ x φ y φ z
+[-] [-] [mm] [mm] [mm] [rad] [rad] [rad]
+B.1.1 51 0.000 0.000 -0.541 -0.001 0.000 0.000
+B.1.1 53 0.000 0.000 -0.990 -0.001 0.000 0.000
+B.1.1 54 0.000 0.000 -1.158 -0.000 0.000 0.000
+B.1.1 52 0.000 0.000 -0.777 -0.001 0.000 0.000
+B.1.1 49 0.000 0.000 -0.115 -0.000 0.000 0.000
+B.1.1 50 0.000 0.000 -0.309 -0.001 0.000 0.000
+B.1.1 48 0.000 0.000 -0.000 -0.000 0.000 0.000
+B.1.1 60 0.000 -0.000 -0.777 0.001 0.000 -0.000
+B.1.1 58 0.000 -0.000 -1.158 0.000 0.000 -0.000
+B.1.1 59 0.000 -0.000 -0.990 0.001 0.000 -0.000
+B.1.1 61 0.000 -0.000 -0.541 0.001 0.000 -0.000
+B.1.1 55 0.000 0.000 -1.264 -0.000 0.000 0.000
+B.1.1 56 0.000 0.000 -1.301 0.000 0.000 -0.000
+B.1.1 63 0.000 -0.000 -0.115 0.000 0.000 -0.000
+B.1.1 57 0.000 -0.000 -1.264 0.000 0.000 -0.000
+B.1.1 64 0.000 -0.000 -0.000 0.000 0.000 -0.000
+B.1.1 62 0.000 -0.000 -0.309 0.001 0.000 -0.000
+B.2.1 1200 -0.000 0.000 -0.777 0.001 -0.000 -0.000
+B.2.1 1204 -0.000 0.000 -0.000 0.000 -0.000 -0.000
+B.2.1 1202 -0.000 0.000 -0.309 0.001 -0.000 -0.000
+B.2.1 1192 -0.000 -0.000 -0.777 -0.001 -0.000 0.000
+B.2.1 1198 -0.000 0.000 -1.158 0.000 -0.000 -0.000
+B.2.1 1199 -0.000 0.000 -0.990 0.001 -0.000 -0.000
+B.2.1 1190 -0.000 -0.000 -0.309 -0.001 -0.000 0.000
+B.2.1 1191 -0.000 -0.000 -0.541 -0.001 -0.000 0.000
+B.2.1 1203 -0.000 0.000 -0.115 0.000 -0.000 -0.000
+B.2.1 1189 -0.000 -0.000 -0.115 -0.000 -0.000 0.000
+B.2.1 1195 -0.000 -0.000 -1.264 -0.000 -0.000 0.000
+B.2.1 1201 -0.000 0.000 -0.541 0.001 -0.000 -0.000
+B.2.1 1193 -0.000 -0.000 -0.990 -0.001 -0.000 0.000
+B.2.1 1188 -0.000 -0.000 -0.000 -0.000 -0.000 0.000
+B.2.1 1194 -0.000 -0.000 -1.158 -0.000 -0.000 0.000
+B.2.1 1196 -0.000 0.000 -1.301 -0.000 -0.000 0.000
+B.2.1 1197 -0.000 0.000 -1.264 0.000 -0.000 -0.000
+B.3.1 17 0.000 -0.001 -0.004 0.000 -0.000 0.000
+B.3.1 25 0.000 -0.000 -0.003 0.000 -0.000 0.000
+B.3.1 27 0.000 -0.000 -0.003 0.000 -0.000 0.000
+B.3.1 23 0.000 -0.001 -0.003 0.000 -0.000 0.000
+B.3.1 64 0.000 -0.000 -0.000 0.000 0.000 -0.000
+B.3.1 19 0.000 -0.001 -0.004 0.000 -0.000 0.000
+B.3.1 21 0.000 -0.001 -0.004 0.000 -0.000 0.000
+B.3.1 37 0.000 -0.000 -0.001 0.000 -0.000 0.000
+B.3.1 31 0.000 -0.000 -0.002 0.000 -0.000 0.000
+B.3.1 43 0.000 0.000 -0.001 0.000 -0.000 0.000
+B.3.1 39 0.000 0.000 -0.001 0.000 -0.000 0.000
+B.3.1 41 0.000 0.000 -0.001 0.000 -0.000 0.000
+B.3.1 45 0.000 0.000 -0.000 0.000 -0.000 0.000
+B.3.1 47 0.000 0.000 -0.000 0.000 -0.000 0.000
+B.3.1 29 0.000 -0.000 -0.002 0.000 -0.000 0.000
+B.3.1 33 0.000 -0.000 -0.002 0.000 -0.000 0.000
+B.3.1 35 0.000 -0.000 -0.002 0.000 -0.000 0.000
+B.4.1 48 0.000 0.000 -0.000 -0.000 0.000 0.000
+B.4.1 30 0.000 0.000 -0.002 -0.000 -0.000 -0.000
+B.4.1 38 0.000 -0.000 -0.001 -0.000 -0.000 -0.000
+B.4.1 18 0.000 0.001 -0.004 -0.000 -0.000 -0.000
+B.4.1 34 0.000 0.000 -0.002 -0.000 -0.000 -0.000
+B.4.1 32 0.000 0.000 -0.002 -0.000 -0.000 -0.000
+B.4.1 20 0.000 0.001 -0.004 -0.000 -0.000 -0.000
+B.4.1 28 0.000 0.000 -0.002 -0.000 -0.000 -0.000
+B.4.1 40 0.000 -0.000 -0.001 -0.000 -0.000 -0.000
+B.4.1 26 0.000 0.000 -0.003 -0.000 -0.000 -0.000
+B.4.1 24 0.000 0.000 -0.003 -0.000 -0.000 -0.000
+B.4.1 36 0.000 0.000 -0.001 -0.000 -0.000 -0.000
+B.4.1 1 0.000 0.001 -0.004 -0.000 -0.000 -0.000
+B.4.1 46 0.000 -0.000 -0.000 -0.000 -0.000 -0.000
+B.4.1 42 0.000 -0.000 -0.001 -0.000 -0.000 -0.000
+B.4.1 22 0.000 0.001 -0.003 -0.000 -0.000 -0.000
+B.4.1 44 0.000 -0.000 -0.000 -0.000 -0.000 -0.000
+B.5.1 1204 -0.000 0.000 -0.000 0.000 -0.000 -0.000
+B.5.1 1208 -0.000 -0.000 -0.001 0.000 0.000 -0.000
+B.5.1 1206 -0.000 -0.000 -0.000 0.000 0.000 -0.000
+B.5.1 1212 -0.000 -0.000 -0.002 0.000 0.000 -0.000
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+B.5.1 1232 -0.000 0.000 -0.010 0.000 0.000 0.000
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+B.5.1 1230 -0.000 0.000 -0.009 0.000 0.000 0.000
+B.5.1 1222 -0.000 -0.000 -0.006 0.000 0.000 0.000
+B.5.1 1234 -0.000 0.001 -0.011 0.000 0.000 0.000
+B.5.1 1218 -0.000 -0.000 -0.004 0.000 0.000 0.000
+B.6.1 1188 -0.000 -0.000 -0.000 -0.000 -0.000 0.000
+B.6.1 1229 -0.000 -0.000 -0.009 -0.000 0.000 -0.000
+B.6.1 1227 -0.000 -0.000 -0.008 -0.000 0.000 -0.000
+B.6.1 1223 -0.000 0.000 -0.007 -0.000 0.000 -0.000
+B.6.1 1231 -0.000 -0.000 -0.010 -0.000 0.000 -0.000
+B.6.1 1233 -0.000 -0.001 -0.011 -0.000 0.000 -0.000
+B.6.1 1235 -0.000 -0.001 -0.012 -0.000 0.000 -0.000
+B.6.1 1207 -0.000 0.000 -0.001 -0.000 0.000 0.000
+B.6.1 1219 -0.000 0.000 -0.005 -0.000 0.000 -0.000
+B.6.1 1215 -0.000 0.000 -0.003 -0.000 0.000 0.000
+B.6.1 1217 -0.000 0.000 -0.004 -0.000 0.000 -0.000
+B.6.1 1209 -0.000 0.000 -0.001 -0.000 0.000 0.000
+B.6.1 1213 -0.000 0.000 -0.003 -0.000 0.000 0.000
+B.6.1 1211 -0.000 0.000 -0.002 -0.000 0.000 0.000
+B.6.1 1221 -0.000 0.000 -0.006 -0.000 0.000 -0.000
+B.6.1 1225 -0.000 0.000 -0.008 -0.000 0.000 -0.000
+B.6.1 1205 -0.000 0.000 -0.000 -0.000 0.000 0.000
+B.7.1 117 0.175 0.001 -3.525 -0.023 0.003 -0.000
+B.7.1 118 1.853 0.001 -11.390 -0.026 0.003 -0.010
+B.7.1 119 5.917 0.001 -19.730 -0.027 0.003 -0.016
+B.7.1 120 11.249 0.001 -27.894 -0.025 0.003 -0.018
+B.7.1 127 26.244 -0.000 -46.293 0.012 0.003 0.011
+B.7.1 122 22.100 0.001 -41.577 -0.018 0.003 -0.015
+B.7.1 130 11.249 -0.001 -27.894 0.025 0.003 0.018
+B.7.1 121 16.901 0.001 -35.327 -0.022 0.003 -0.018
+B.7.1 131 5.917 -0.001 -19.730 0.027 0.003 0.016
+B.7.1 129 16.901 -0.001 -35.327 0.022 0.003 0.018
+B.7.1 125 29.817 0.000 -50.216 -0.000 0.003 -0.000
+B.7.1 132 1.853 -0.001 -11.390 0.026 0.003 0.010
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+B.7.1 126 28.902 -0.000 -49.223 0.006 0.003 0.006
+B.8.1 17 0.000 -0.001 -0.004 0.000 -0.000 0.000
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+B.8.1 7 0.544 0.000 -0.867 -0.000 -0.000 -0.000
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+B.8.1 9 0.618 0.000 -0.946 0.000 -0.000 0.000
+B.8.1 10 0.599 -0.000 -0.926 0.000 -0.000 0.000
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+T.1.1 222 0.388 0.026 -10.261 -0.024 0.004 -0.000
+T.2.1 223 0.388 -0.026 -10.261 0.024 0.004 0.000
+T.2.1 174 -1.898 0.000 -5.501 0.000 0.004 0.000
+T.3.1 222 0.388 0.026 -10.261 -0.024 0.004 -0.000
+T.3.1 315 -1.893 -0.000 -13.834 -0.000 0.003 -0.000
+T.4.1 223 0.388 -0.026 -10.261 0.024 0.004 0.000
+T.4.1 317 -1.893 0.000 -13.834 0.000 0.003 0.000
+T.5.1 316 0.334 0.001 -13.994 -0.024 0.003 0.000
+T.5.1 315 -1.893 -0.000 -13.834 -0.000 0.003 -0.000
+T.6.1 172 -1.898 -0.000 -5.501 -0.000 0.004 -0.000
+T.6.1 173 0.245 -0.033 -5.623 -0.024 0.004 0.000
+T.7.1 318 0.334 -0.001 -13.994 0.024 0.003 -0.000
+T.7.1 317 -1.893 0.000 -13.834 0.000 0.003 0.000
+T.8.1 175 0.245 0.033 -5.623 0.024 0.004 -0.000
+T.8.1 174 -1.898 0.000 -5.501 0.000 0.004 0.000
+T.9.1 411 0.281 -0.028 -16.624 -0.024 0.002 -0.000
+T.9.1 315 -1.893 -0.000 -13.834 -0.000 0.003 -0.000
+T.10.1 413 0.281 0.028 -16.624 0.024 0.002 0.000
+T.10.1 317 -1.893 0.000 -13.834 0.000 0.003 0.000
+T.11.1 458 -1.172 -0.000 -17.962 -0.000 0.001 -0.000
+T.11.1 411 0.281 -0.028 -16.624 -0.024 0.002 -0.000
+T.12.1 413 0.281 0.028 -16.624 0.024 0.002 0.000
+T.12.1 460 -1.172 0.000 -17.962 0.000 0.001 0.000
+T.13.1 458 -1.172 -0.000 -17.962 -0.000 0.001 -0.000
+T.13.1 459 0.177 0.033 -18.166 -0.024 0.001 0.000
+T.14.1 461 0.177 -0.033 -18.166 0.024 0.001 -0.000
+T.14.1 460 -1.172 0.000 -17.962 0.000 0.001 0.000
+T.15.1 458 -1.172 -0.000 -17.962 -0.000 0.001 -0.000
+T.15.1 553 0.072 -0.030 -18.691 -0.024 0.000 0.000
+T.16.1 554 0.072 0.030 -18.691 0.024 0.000 -0.000
+T.16.1 460 -1.172 0.000 -17.962 0.000 0.001 0.000
+T.17.1 601 -0.000 -0.000 -18.154 -0.000 0.000 -0.000
+T.17.1 553 0.072 -0.030 -18.691 -0.024 0.000 0.000
+T.18.1 554 0.072 0.030 -18.691 0.024 0.000 -0.000
+T.18.1 603 -0.000 0.000 -18.154 0.000 0.000 0.000
+T.19.1 601 -0.000 -0.000 -18.154 -0.000 0.000 -0.000
+T.19.1 602 -0.000 0.023 -18.608 -0.024 0.000 -0.000
+T.20.1 604 -0.000 -0.023 -18.608 0.024 0.000 0.000
+T.20.1 603 -0.000 0.000 -18.154 0.000 0.000 0.000
+T.21.1 601 -0.000 -0.000 -18.154 -0.000 0.000 -0.000
+T.21.1 698 -0.073 0.005 -18.685 -0.024 -0.000 0.000
+T.22.1 699 -0.073 -0.005 -18.685 0.024 -0.000 -0.000
+T.22.1 603 -0.000 0.000 -18.154 0.000 0.000 0.000
+T.23.1 791 1.172 -0.000 -17.967 -0.000 -0.001 -0.000
+T.23.1 698 -0.073 0.005 -18.685 -0.024 -0.000 0.000
+T.24.1 699 -0.073 -0.005 -18.685 0.024 -0.000 -0.000
+T.24.1 793 1.172 0.000 -17.967 0.000 -0.001 0.000
+T.25.1 791 1.172 -0.000 -17.967 -0.000 -0.001 -0.000
+T.25.1 792 -0.177 -0.031 -18.186 -0.024 -0.001 -0.000
+T.26.1 794 -0.177 0.031 -18.186 0.024 -0.001 0.000
+T.26.1 793 1.172 0.000 -17.967 0.000 -0.001 0.000
+T.27.1 791 1.172 -0.000 -17.967 -0.000 -0.001 -0.000
+T.27.1 840 -0.282 0.034 -16.611 -0.024 -0.002 0.000
+T.28.1 842 -0.282 -0.034 -16.611 0.024 -0.002 -0.000
+T.28.1 793 1.172 0.000 -17.967 0.000 -0.001 0.000
+T.29.1 840 -0.282 0.034 -16.611 -0.024 -0.002 0.000
+T.29.1 934 1.892 -0.000 -13.833 -0.000 -0.003 -0.000
+T.30.1 842 -0.282 -0.034 -16.611 0.024 -0.002 -0.000
+T.30.1 936 1.892 0.000 -13.833 0.000 -0.003 0.000
+T.31.1 935 -0.335 -0.026 -13.998 -0.024 -0.003 0.000
+T.31.1 934 1.892 -0.000 -13.833 -0.000 -0.003 -0.000
+T.32.1 937 -0.335 0.026 -13.998 0.024 -0.003 -0.000
+T.32.1 936 1.892 0.000 -13.833 0.000 -0.003 0.000
+T.33.1 982 -0.388 0.017 -10.260 -0.024 -0.004 -0.000
+T.33.1 934 1.892 -0.000 -13.833 -0.000 -0.003 -0.000
+T.34.1 983 -0.388 -0.017 -10.260 0.024 -0.004 0.000
+T.34.1 936 1.892 0.000 -13.833 0.000 -0.003 0.000
+T.35.1 1077 1.896 -0.000 -5.495 -0.000 -0.004 -0.000
+T.35.1 982 -0.388 0.017 -10.260 -0.024 -0.004 -0.000
+T.36.1 983 -0.388 -0.017 -10.260 0.024 -0.004 0.000
+T.36.1 1079 1.896 0.000 -5.495 0.000 -0.004 0.000
+T.37.1 1077 1.896 -0.000 -5.495 -0.000 -0.004 -0.000
+T.37.1 1078 -0.245 0.006 -5.613 -0.024 -0.004 0.000
+T.38.1 1079 1.896 0.000 -5.495 0.000 -0.004 0.000
+T.38.1 1080 -0.245 -0.006 -5.613 0.024 -0.004 -0.000
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.bsc b/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.bsc
new file mode 100644
index 00000000..a7783ddc
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.bsc
@@ -0,0 +1,13 @@
+
+
+
+ FEM-Design Batch template
+ 2300
+ sframe
+ batchtable.log
+
+
+
+
+
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.csv b/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.csv
new file mode 100644
index 00000000..eb82e552
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/eigenfrequencies.csv
@@ -0,0 +1,9 @@
+Eigenfrequencies
+Shape Frequency Period Modal mass mx' my' mz'
+[-] [Hz] [s] [t] [%] [%] [%]
+1 2.861 0.350 1.000 0.000 48.833 0.000
+2 7.623 0.131 1.000 0.000 0.000 0.000
+3 12.084 0.083 1.000 7.700 0.000 3.792
+4 12.124 0.082 1.000 0.310 0.000 0.131
+5 12.130 0.082 1.000 0.000 0.000 0.000
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.bsc b/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.bsc
new file mode 100644
index 00000000..ddda52c5
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.bsc
@@ -0,0 +1,13 @@
+
+
+
+ FEM-Design Batch template
+ 2300
+ sframe
+ batchtable.log
+
+
+
+
+
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.csv b/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.csv
new file mode 100644
index 00000000..12c408a0
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/point-support-reactions.csv
@@ -0,0 +1,8 @@
+Point support group, Reactions, Load comb.: combo1
+ID x y z Node Fx' Fy' Fz' Mx' My' Mz' Fr Mr
+[-] [m] [m] [m] [-] [kN] [kN] [kN] [kNm] [kNm] [kNm] [kN] [kNm]
+S.1 3.235 3.008 1.000 48 679.580 3.123 -342.418 -22.639 122.266 1.521 760.979 124.354
+S.2 3.235 8.008 1.000 64 679.580 -3.123 -342.418 22.639 122.266 -1.521 760.979 124.354
+S.3 21.235 3.008 1.000 1188 -679.580 -4.140 -346.609 -22.767 -123.647 1.535 762.879 125.735
+S.4 21.235 8.008 1.000 1204 -679.580 4.140 -346.609 22.767 -123.647 -1.535 762.879 125.735
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.bsc b/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.bsc
new file mode 100644
index 00000000..5399ed3c
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.bsc
@@ -0,0 +1,13 @@
+
+
+
+ FEM-Design Batch template
+ 2300
+ sframe
+ batchtable.log
+
+
+
+
+
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.csv b/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.csv
new file mode 100644
index 00000000..bd3d9d18
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/bsc/quantity-estimation-steel.csv
@@ -0,0 +1,70 @@
+Quantity estimation, Steel
+Storey Struct. Identifier Quality Section/ Unit weight Total length[m]/ Total weight Painted area CO2 footprint (A1-A3)
+ type Thickness[m] [t/m, t/m2] Total area[m2] [t] [m2] [kg CO2e]
+- Beam B.1 S 235 HE-A 240 0.060 5.000 0.302 6.845 760.0
+- Beam B.2 S 235 HE-A 240 0.060 5.000 0.302 6.845 760.0
+- Beam B.3 S 235 HE-A 240 0.060 0.500 0.030 0.684 76.0
+- Beam B.4 S 235 HE-A 240 0.060 0.500 0.030 0.684 76.0
+- Beam B.5 S 235 HE-A 240 0.060 0.800 0.048 1.095 121.6
+- Beam B.6 S 235 HE-A 240 0.060 0.800 0.048 1.095 121.6
+- Beam B.7 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.8 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.9 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.10 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.11 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.12 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.13 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.14 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.15 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.16 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.17 S 235 Z 160 0.022 5.000 0.108 2.844 272.2
+- Beam B.18 S 235 HE-A 240 0.060 2.236 0.135 3.061 339.9
+- Beam B.19 S 235 HE-A 240 0.060 2.236 0.135 3.061 339.9
+- Beam B.20 S 235 HE-A 240 0.060 7.046 0.425 9.645 1,070.9
+- Beam B.21 S 235 HE-A 240 0.060 7.046 0.425 9.645 1,070.9
+- Beam B.22 S 235 HE-A 240 0.060 2.236 0.135 3.061 339.9
+- Beam B.23 S 235 HE-A 240 0.060 2.236 0.135 3.061 339.9
+- Beam B.24 S 235 HE-A 240 0.060 7.046 0.425 9.645 1,070.9
+- Beam B.25 S 235 HE-A 240 0.060 7.046 0.425 9.645 1,070.9
+- Beam B.26 S 235 HE-A 240 0.060 18.000 1.086 24.641 2,735.9
+- Beam B.27 S 235 HE-A 240 0.060 18.000 1.086 24.641 2,735.9
+- Truss T.1 S 235 KKR 80x80x4 0.009 1.537 0.014 0.471 35.7
+- Truss T.2 S 235 KKR 80x80x4 0.009 1.537 0.014 0.471 35.7
+- Truss T.3 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.4 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.5 S 235 KKR 80x80x4 0.009 1.267 0.012 0.388 29.4
+- Truss T.6 S 235 KKR 80x80x4 0.009 1.000 0.009 0.306 23.2
+- Truss T.7 S 235 KKR 80x80x4 0.009 1.267 0.012 0.388 29.4
+- Truss T.8 S 235 KKR 80x80x4 0.009 1.000 0.009 0.306 23.2
+- Truss T.9 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.10 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.11 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.12 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.13 S 235 KKR 80x80x4 0.009 1.533 0.014 0.470 35.6
+- Truss T.14 S 235 KKR 80x80x4 0.009 1.533 0.014 0.470 35.6
+- Truss T.15 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.16 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.17 S 235 KKR 80x80x4 0.009 2.145 0.020 0.657 49.8
+- Truss T.18 S 235 KKR 80x80x4 0.009 2.145 0.020 0.657 49.8
+- Truss T.19 S 235 KKR 80x80x4 0.009 1.800 0.017 0.551 41.8
+- Truss T.20 S 235 KKR 80x80x4 0.009 1.800 0.017 0.551 41.8
+- Truss T.21 S 235 KKR 80x80x4 0.009 2.145 0.020 0.657 49.8
+- Truss T.22 S 235 KKR 80x80x4 0.009 2.145 0.020 0.657 49.8
+- Truss T.23 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.24 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.25 S 235 KKR 80x80x4 0.009 1.533 0.014 0.470 35.6
+- Truss T.26 S 235 KKR 80x80x4 0.009 1.533 0.014 0.470 35.6
+- Truss T.27 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.28 S 235 KKR 80x80x4 0.009 1.927 0.018 0.590 44.8
+- Truss T.29 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.30 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.31 S 235 KKR 80x80x4 0.009 1.267 0.012 0.388 29.4
+- Truss T.32 S 235 KKR 80x80x4 0.009 1.267 0.012 0.388 29.4
+- Truss T.33 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.34 S 235 KKR 80x80x4 0.009 1.722 0.016 0.527 40.0
+- Truss T.35 S 235 KKR 80x80x4 0.009 1.537 0.014 0.471 35.7
+- Truss T.36 S 235 KKR 80x80x4 0.009 1.537 0.014 0.471 35.7
+- Truss T.37 S 235 KKR 80x80x4 0.009 1.000 0.009 0.306 23.2
+- Truss T.38 S 235 KKR 80x80x4 0.009 1.000 0.009 0.306 23.2
+TOTAL 6.937 167.849 17,481.8
+
diff --git a/FemDesign.Examples/Python/jupyter-notebook/model.str b/FemDesign.Examples/Python/jupyter-notebook/model.str
new file mode 100644
index 00000000..8e10e74a
Binary files /dev/null and b/FemDesign.Examples/Python/jupyter-notebook/model.str differ
diff --git a/FemDesign.Examples/Python/jupyter-notebook/preview.png b/FemDesign.Examples/Python/jupyter-notebook/preview.png
new file mode 100644
index 00000000..ba9d4c25
Binary files /dev/null and b/FemDesign.Examples/Python/jupyter-notebook/preview.png differ
diff --git a/FemDesign.Examples/Python/jupyter-notebook/report.ipynb b/FemDesign.Examples/Python/jupyter-notebook/report.ipynb
new file mode 100644
index 00000000..e86b7e56
--- /dev/null
+++ b/FemDesign.Examples/Python/jupyter-notebook/report.ipynb
@@ -0,0 +1,156 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "7cff591c-4a4e-4a1d-a1d4-536e023c56cd",
+ "metadata": {},
+ "source": [
+ "![\"truss\"](\"preview.png\")
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "d622166f-84c0-4b7c-a465-cc412172c971",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from femdesign.comunication import FemDesignConnection\n",
+ "from femdesign.calculate.analysis import Analysis\n",
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "10ab8974-39af-4a9b-ba59-4b5d517d28b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pipe = FemDesignConnection(minimized= True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "6f564f43-ea6e-4b58-9334-a3754e7e03ff",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pipe.Open(\"model.str\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "73be8725-5a8a-4abc-b718-cab8ff2bacd7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "static_analysis = Analysis.StaticAnalysis()\n",
+ "pipe.RunAnalysis(static_analysis)\n",
+ "\n",
+ "freq_analysis = Analysis.FrequencyAnalysis(num_shapes=5)\n",
+ "pipe.RunAnalysis(freq_analysis)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "62a20af5-07ba-4a97-9fa3-c074a2aa16a5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pipe.GenerateListTables(r\"bsc/comb-nodal-displacements.bsc\", r\"results/comb-displacement.csv\")\n",
+ "pipe.GenerateListTables(r\"bsc/eigenfrequencies.bsc\", r\"results/eigenfrequencies.csv\")\n",
+ "pipe.GenerateListTables(r\"bsc/quantity-estimation-steel.bsc\", r\"results/quantity-estimation-steel.csv\")\n",
+ "pipe.GenerateListTables(r\"bsc/point-support-reactions.bsc\", r\"results/point-support-reactions.csv\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "8e9422d8-f9c4-4013-8fd5-ae24baef7d73",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# the results will be saved in the bsc folder as csv files\n",
+ "skip_rows = 2\n",
+ "\n",
+ "eigen_freq = pd.read_csv(r\"results/eigenfrequencies.csv\", skiprows = skip_rows, sep = \"\\t\")\n",
+ "comb_disp = pd.read_csv(r\"results/comb-displacement.csv\", skiprows = skip_rows, sep = \"\\t\")\n",
+ "quantity = pd.read_csv(r\"results/quantity-estimation-steel.csv\", skiprows = skip_rows, sep = \"\\t\")\n",
+ "reaction = pd.read_csv(r\"results/point-support-reactions.csv\", skiprows = skip_rows, sep = \"\\t\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d9af97f1-ef9f-4a06-bac9-b0011e93e978",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(eigen_freq)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e2ba0029-cb7d-4b21-a6b5-2f389f7357e7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(comb_disp)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "910478b6-1607-45a3-9123-06da8710466c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(quantity)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "673e53c8-0d51-47a3-b0d5-4f167beaed6b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(reaction)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "66e83a25-c375-4ad7-ae94-08dd09772d52",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}