Ajout d'une section sur S3 (#97)

* un tutoriel s3

* plein d'ajouts

* change tous les liens

close #84

* change lien ici aussi

* eval FALSE

.Rprofile

@@ -41,7 +41,7 @@ reminder_badges <- function(notebook = ""){
     "[![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](",
     nbviewer_link,")"
   )
-  onyxia_link <- "[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)"
+  onyxia_link <- "[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)"
   binder_link <- sprintf(
     "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master%s)",
     binder_path

content/_index.md

@@ -33,7 +33,7 @@ dédiée aux jupyter notebooks.
 
 Des environnements temporaires d'exécution des notebooks sont proposés
 avec les icones suivantes 
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master)
 

content/getting-started/01_installation.md

@@ -94,7 +94,7 @@ lancer en local en utilisant `Anaconda`) ont émergé. Parmi celles-ci :
 * **Google collaboratory**
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/pandas_intro/static/notebooks/numpy.ipynb)
 ;
-* __onyxia__ [![Onyxia](https://img.shields.io/badge/launch-onyxia-blue)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement) plateforme développée par l'Insee qui fournit des environnements bac à sable basés sur des technologie de conteneurisation
+* __onyxia__ [![Onyxia](https://img.shields.io/badge/launch-onyxia-blue)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi) plateforme développée par l'Insee qui fournit des environnements bac à sable basés sur des technologie de conteneurisation
 
 
 Il est aussi possible d'exécuter des codes sur les services d'intégration continue de 

content/getting-started/_index.md

@@ -34,7 +34,7 @@ ou
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/tree/master)
 ainsi que dans les différents environnements prêts à l'emploi mis à
 disposition
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master)
 

content/listeTP/_index.md

@@ -13,7 +13,7 @@ temporaire (voir [ici](configuration)). Pour accéder par les mêmes moyens
 au dépôt:
 <a href="https://github.com/linogaliana/python-datascientist" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/tree/master)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master)
 
@@ -22,28 +22,28 @@ Séance 1:
 * [Des rappels généraux sur les objets en python](rappels2A)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/04_rappels_types.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/04_rappels_types.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/getting-started/notebooks/04_rappels_types.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/04_rappels_types.ipynb)
 
 * [Des rappels sur les fonctions en python](rappelsfonctions)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/05_rappels_fonctions.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/05_rappels_fonctions.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/getting-started/notebooks/05_rappels_fonctions.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/05_rappels_fonctions.ipynb)
 
 * [Un TD (optionnel) sur les classes en python](rappelsclasses)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/06_rappels_classes.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/06_rappels_classes.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/getting-started/notebooks/06_rappels_classes.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/getting-started/notebooks/06_rappels_classes.ipynb)
 
 * [Une découverte de numpy](numpy)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/01_tp_numpy.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/01_tp_numpy.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/notebooks/01_tp_numpy.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/01_tp_numpy.ipynb)
 
@@ -52,7 +52,7 @@ Séance 2:
 * [Découverte de pandas par l'exemple](pandas)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/notebooks/02_pandas_tp.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/notebooks/02_pandas_tp.ipynb)
 
@@ -62,7 +62,7 @@ Séance 3:
 * [Découverte de geopandas par l'exemple](geopandas)
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/03_geopandas_tp.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/03_geopandas_tp.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=03_geopandas_tp.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/03_geopandas_tp.ipynb)
 

content/manipulation/01_numpy/index.Rmd

@@ -25,7 +25,7 @@ slug: "numpy"
 <!---- reminder_badges("content/manipulation/01_tp_numpy.ipynb") --->
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/01_tp_numpy.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)
 

content/manipulation/01_numpy/index.md

@@ -25,7 +25,7 @@ slug: "numpy"
 <!---- reminder_badges("content/manipulation/01_tp_numpy.ipynb") --->
 <a href="https://github.com/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb" class="github"><i class="fab fa-github"></i></a>
 [![nbviewer](https://img.shields.io/badge/visualize-nbviewer-blue)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)
-[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://spyrales.sspcloud.fr/my-lab/catalogue/inseefrlab-datascience/jupyter/deploiement)
+[![Onyxia](https://img.shields.io/badge/launch-onyxia-brightgreen)](https://datalab.sspcloud.fr/my-lab/catalogue/inseefrlab-helm-charts-datascience/jupyter/deploiement?resources.requests.memory=4096Mi)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master?filepath=content/manipulation/01_tp_numpy.ipynb)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master/content/manipulation/01_tp_numpy.ipynb)