jupyter-for-hpc.md

@@ -65,11 +65,11 @@ The installed kernels might not suite your needs and you want to switch to a dif
 In that case you need to set up your own specialized Jupyter kernel (located in ''${HOME}/.local/share/jupyter/kernels/'').  
 This can be done in the terminal in a few steps on the supercomputer:
 1. LOAD the modules you need 
-  * start with ''module --force purge'' to remove any module which is already loaded
+  * start with ''module purge'' to remove any module which is already loaded
   * ensure this includes a recent Python 3.x (even if you are not planing to use Python)
   * example:
     ```shell 
-    module --force purge
+    module purge
     module use /usr/local/software/jureca/OtherStages
     module load Stages/Devel-2018a
     module load GCCcore/.5.5.0
@@ -123,7 +123,7 @@ Now, modify this basic jupyter kernel to suite your needs.
     ```shell 
     #!/usr/bin/env bash
 
-    module --force purge
+    module purge
     module load Stages/Devel-2018a
     module load GCCcore/.5.5.0
     module load Jupyter