From 3056d41001760c875f9c0a554b45243df116dcc7 Mon Sep 17 00:00:00 2001 From: avouacr Date: Fri, 2 Sep 2022 12:19:55 +0000 Subject: [PATCH] fix all SSP Cloud launcher links --- README.md | 4 ++-- content/course/getting-started/01_installation/index.qmd | 4 ++-- content/course/git/exogit/index.qmd | 2 +- content/course/manipulation/02a_pandas_tutorial/index.qmd | 2 +- content/slides/intro/index.Rmd | 2 +- utils.py | 2 +- 6 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index c1e42534f..10b349e28 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Python pour data-scientists et économistes :snake: [![build-doc Actions Status](https://github.com/linogaliana/python-datascientist/actions/workflows/prod.yml/badge.svg)](https://github.com/linogaliana/python-datascientist/actions) -[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) +[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) [![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) [![Binder](https://img.shields.io/badge/Launch-Binder-E66581.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master) [![Download](https://img.shields.io/badge/Download-Notebook-important?logo=Jupyter)](https://downgit.github.io/#/home?url=https://github.com/linogaliana/python-datascientist/blob/master/notebooks/course) @@ -52,7 +52,7 @@ notebooks `Jupyter` dans la configuration qui vous sied le mieux.

Download nbviewer -Onyxia
+Onyxia
Binder Open In Colab githubdev

diff --git a/content/course/getting-started/01_installation/index.qmd b/content/course/getting-started/01_installation/index.qmd index 2996b491c..84723076e 100644 --- a/content/course/getting-started/01_installation/index.qmd +++ b/content/course/getting-started/01_installation/index.qmd @@ -187,7 +187,7 @@ Depuis quelques années, des services en ligne permettant de lancer une instance `Jupyter` à distance (analogue à celle que vous pouvez lancer en local en utilisant `Anaconda`) ont émergé. Parmi celles-ci : -* __Le SSP Cloud__ [![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false&init.personalInit=«https://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh») plateforme développée par l'Insee qui fournit des environnements bac à sable basés sur des technologie de conteneurisation +* __Le SSP Cloud__ [![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?autoLaunch=true&onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false) plateforme développée par l'Insee qui fournit des environnements bac à sable basés sur des technologie de conteneurisation * __Google collaboratory__ [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](http://colab.research.google.com/github/linogaliana/python-datascientist/blob/master) ; @@ -237,7 +237,7 @@ de garder à l'esprit qu'elles sont également temporaires. {{% /box %}} -## SSP-Cloud [![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false&init.personalInit=«https://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh») +## SSP-Cloud [![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?autoLaunch=true&onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false) `Onyxia`, l'autre petit nom du SSP-Cloud, est une plateforme libre service mutualisée de traitement diff --git a/content/course/git/exogit/index.qmd b/content/course/git/exogit/index.qmd index 34bcd5958..ab58ab136 100644 --- a/content/course/git/exogit/index.qmd +++ b/content/course/git/exogit/index.qmd @@ -48,7 +48,7 @@ disponible. Un exemple de tel environnement est le JupyterLab du SSPCloud où une extension `Git` est pré-installée: -[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false&init.personalInit=«https://raw.githubusercontent.com/linogaliana/python-datascientist/master/init_onyxia.sh») +[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?autoLaunch=true&onyxia.friendlyName=«python-datascientist»&resources.requests.memory=«4Gi»&security.allowlist.enabled=false) Outre le [chapitre précédent](#introgit), il existe de nombreuses ressources sur internet sur le sujet, notamment diff --git a/content/course/manipulation/02a_pandas_tutorial/index.qmd b/content/course/manipulation/02a_pandas_tutorial/index.qmd index e3901e81a..738f8028e 100644 --- a/content/course/manipulation/02a_pandas_tutorial/index.qmd +++ b/content/course/manipulation/02a_pandas_tutorial/index.qmd @@ -609,7 +609,7 @@ en conjonction des méthodes de statistiques agrégées. C'est utiles lorsqu'on désire obtenir une idée de la part de valeurs manquantes dans un jeu de données [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/linogaliana/python-datascientist/master) -[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) +[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) [![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) ([ou depuis github](https://github.com/linogaliana/python-datascientist/blob/master/content/01_data/02_pandas_tp.ipynb)) diff --git a/content/slides/intro/index.Rmd b/content/slides/intro/index.Rmd index 30536090d..b74a584f7 100644 --- a/content/slides/intro/index.Rmd +++ b/content/slides/intro/index.Rmd @@ -99,7 +99,7 @@ Des tutoriels et exercices sur le site web: [![nbviewer](https://img.shields.io/badge/Visualize-nbviewer-blue?logo=Jupyter)](https://nbviewer.jupyter.org/github/linogaliana/python-datascientist/blob/master/C:/Users/W3CRK9/Documents/FORMATIONS/python-datascientist/notebooks/course/manipulation/01_numpy.ipynb) * Possibilité de les tester sur des environnements temporaires d'exécution -[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) +[![Onyxia](https://img.shields.io/badge/SSPcloud-Tester%20via%20SSP--cloud-informational&color=yellow?logo=Python)](https://datalab.sspcloud.fr/launcher/ide/jupyter?onyxia.friendlyName=%C2%ABpython-datascientist%C2%BB&resources.requests.memory=%C2%AB4Gi%C2%BB) [![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) --- diff --git a/utils.py b/utils.py index db82a8017..0609f2236 100644 --- a/utils.py +++ b/utils.py @@ -55,7 +55,7 @@ def reminder_badges( nbviewer_link = f''\ 'nbviewer' - onyxia_link_launcher = "https://datalab.sspcloud.fr/launcher/inseefrlab-helm-charts-datascience/jupyter"\ + onyxia_link_launcher = "https://datalab.sspcloud.fr/launcher/ide/jupyter"\ "?autoLaunch=true&onyxia.friendlyName=%C2%ABpython-datascience%C2%BB"\ "&init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2Flinogaliana%2Fpython-datascientist%2Fmaster%2Fsspcloud%2Finit-jupyter.sh%C2%BB"\ f"&init.personalInitArgs=%C2%AB{section}/{chapter}%C2%BB&security.allowlist.enabled=false"