remplacement de lien app-learninglab.inria.fr/gitlab par gitlab.inria.fr pour les .org du module4

module4/ressources/resources_environment.org

@@ -76,7 +76,7 @@ Delta compression using up to 4 threads.
 Compressing objects: 100% (20/20), done.
 Writing objects: 100% (25/25), 7.31 KiB | 499.00 KiB/s, done.
 Total 25 (delta 11), reused 0 (delta 0)
-To ssh://app-learninglab.inria.fr:9418/learning-lab/mooc-rr-ressources.git
+To gitlab.inria.fr:learninglab/mooc-rr/mooc-rr-ressources.git
    6359f8c..1f8a567  master -> master
 #+END_EXAMPLE
 

module4/ressources/resources_environment_fr.org

@@ -82,7 +82,7 @@ Delta compression using up to 4 threads.
 Compressing objects: 100% (20/20), done.
 Writing objects: 100% (25/25), 7.31 KiB | 499.00 KiB/s, done.
 Total 25 (delta 11), reused 0 (delta 0)
-To ssh://app-learninglab.inria.fr:9418/learning-lab/mooc-rr-ressources.git
+To gitlab.inria.fr:learninglab/mooc-rr/mooc-rr-ressources.git
    6359f8c..1f8a567  master -> master
 #+END_EXAMPLE
 

module4/ressources/resources_refs.org

@@ -46,7 +46,7 @@ software.
 Yet, if you really need to stay with SAS, you should know that SAS can be used 
 within Jupyter using the [[https://sassoftware.github.io/saspy/][Python SASPy]] and the
 [[https://sassoftware.github.io/sas_kernel/][Python SASKernel]] packages (step by step explanations about this are given
-[[https://app-learninglab.inria.fr/gitlab/85bc36e0a8096c618fbd5993d1cca191/mooc-rr/blob/master/documents/tuto_jupyter_windows/tuto_jupyter_windows.md#53-le-package-python-saspy-permet-dex%C3%A9cuter-du-code-sas-dans-un-notebook-python][here]]). Using such literate programming approach allied with systematic
+[[https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master/documents/tuto_jupyter_windows/tuto_jupyter_windows.md#53-le-package-python-saspy-permet-dex%C3%A9cuter-du-code-sas-dans-un-notebook-python][here]]). Using such literate programming approach allied with systematic
 version and environment control will always help. Similar solutions exist for many languages ([[https://github.com/jupyter/jupyter/wiki/Jupyter-kernels][list of Jupyter kernels]]).
 * Controlling your software environment
 As we mentioned in the video sequences, there are several solutions to

module4/ressources/resources_refs_fr.org

@@ -58,7 +58,7 @@ propriétaire.
 Cependant, si vous avez vraiment besoin de rester sous
 SAS, sachez que SAS peut être utilisé dans Jupyter en utilisant
 les packages Python [[https://sassoftware.github.io/saspy/][SASPy]] et [[https://sassoftware.github.io/sas_kernel/][SASKernel]] (tuto pas à pas
-[[https://app-learninglab.inria.fr/gitlab/85bc36e0a8096c618fbd5993d1cca191/mooc-rr/blob/master/documents/tuto_jupyter_windows/tuto_jupyter_windows.md#53-le-package-python-saspy-permet-dex%C3%A9cuter-du-code-sas-dans-un-notebook-python][ici]]). L'utilisation d'une telle approche de programmation 
+[[https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master/documents/tuto_jupyter_windows/tuto_jupyter_windows.md#53-le-package-python-saspy-permet-dex%C3%A9cuter-du-code-sas-dans-un-notebook-python][ici]]). L'utilisation d'une telle approche de programmation 
 alphabète alliée à un contrôle systématique de la version et de
 l'environnement est un plus. Des solutions similaires existent pour de
 nombreux langages ([[https://github.com/jupyter/jupyter/wiki/Jupyter-kernels][liste des kernels Jupyter]]).