From e43a211e4f9dbe391a41df8fe2a76ee62f316a0e Mon Sep 17 00:00:00 2001 From: Marie-Gabrielle Dondon <85bc36e0a8096c618fbd5993d1cca191@app-learninglab.inria.fr> Date: Tue, 20 Nov 2018 21:33:23 +0000 Subject: [PATCH] =?UTF-8?q?Cosm=C3=A9tique?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module4/ressources/resources_refs.org | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/module4/ressources/resources_refs.org b/module4/ressources/resources_refs.org index d5aecee..9795f7e 100644 --- a/module4/ressources/resources_refs.org +++ b/module4/ressources/resources_refs.org @@ -41,8 +41,10 @@ careful about stability. We (the authors of this MOOC) believe that open source (which allows to inspect how computation is done and to identify both mistakes and sources of non-reproducibility) is more important than the rock solid stability of SAS, which is proprietary -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 +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 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]]). @@ -72,9 +74,9 @@ Hinsen on Active Papers]] (http://www.activepapers.org/). Ensuring software is properly archived, i.e, is safely stored so that it can be accessed in a perennial way, can be quite tricky. If you have never seen [[https://github.com/alegrand/RR_webinars/blob/master/5_archiving_software_and_data/index.org][Roberto Di Cosmo presenting the Software Heritage -project]], this is a must see. https://www.softwareheritage.org/ +project]], this is a must see. [[https://www.softwareheritage.org/][https://www.softwareheritage.org/]] -For regular data, we highly recommend using https://www.zenodo.org/ +For regular data, we highly recommend using [[https://www.zenodo.org/][https://www.zenodo.org/]] whenever the data is not sensitive. * Workflows In the video sequences, we mentioned workflow managers (original application domain in parenthesis): -- 2.18.1