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Commits (50)
# Moteurs de recherche de bureau : étiquettes et mots_clefs
## liens:
>- {Etiquettes et logiciels d'indexation](https://www.fun-mooc.fr/courses/course-v1:inria+41016+self-paced/courseware/2bfe60a86fed4994b5493a220c38eb69/e671870be0f942bc99673fe94600f19a/)
## types de recherche:
>- les étiquettes (points d'ancrage labellisés)
>>- spécificité markdown (pas d'étiquette dispo) -> via commentaire `<!-- mot-clef -->`
>- les métadonnées : fichiers image, pdf, audio
## moteurs de recherche de bureau:
>- [DocFetcher (Linux, MacOS, Windows)](http://docfetcher.sourceforge.net/fr/index.html)
>- [Tracker (Linux)](https://wiki.gnome.org/Projects/Tracker)
>- [Recoll (Linux, MacOS, Windows)](https://www.lesbonscomptes.com/recoll/index.html.fr)
# Markdown:
>- langage de balisage
>- .md
## liens utiles:
>- [Élaboration et conversion de documents avec Markdown et Pandoc](https://enacit.epfl.ch/cours/markdown-pandoc/)
>- [Mooc_repro_Module_1-3](https://www.fun-mooc.fr/courses/course-v1:inria+41016+self-paced/courseware/2bfe60a86fed4994b5493a220c38eb69/13f6fd96266746a0bd9d717a12f1f835/)
>- [Introduction à Markdown](https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master//module1/ressources/introduction_to_markdown_fr.org)
## Pandoc
>-convertisseur de document : md -> html, docx, pdf, ...
>- !t format UFT-8
>- utilisation = invite de commandes
>- [démo conversion Pandoc](https://lms.fun-mooc.fr/courses/course-v1:inria+41016+self-paced/courseware/2bfe60a86fed4994b5493a220c38eb69/13f6fd96266746a0bd9d717a12f1f835/3?activate_block_id=block-v1%3Ainria%2B41016%2Bself-paced%2Btype%40vertical%2Bblock%402d97e54aee464585924608eec0a54fb2)
>- procédure conversion :
>>*copy/paste* texte brut mkd ds éditeur de texte -> record **.md**
>>open Anaconda_cmd -> *cd path/file.md répertoire stockage -> cde conversion *pandoc *file.md* -o file_new.html* or .docx or .pdf ...
## LaTeX
>- lien
>- i[installation LaTeX](https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master//module2/ressources/latex_fr.org)
# gestion de version et gitlab
>- lien installation - configuration Git_GitLab
>- possibilité de saisie auto des
>- [Git - GitLab](https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master//module2/ressources/gitlab_fr.org)
>- [Video Configuration Git_GitLab](https://lms.fun-mooc.fr/courses/course-v1:inria+41016+self-paced/courseware/66bc811404b8481da5f794de54681c5e/2419fd0fb6a0484988ca9d65497dcaaf/2?activate_block_id=block-v1%3Ainria%2B41016%2Bself-paced%2Btype%40vertical%2Bblock%407508aece244548349424dfd61ee3ba85)
## Document computationnel:
>- objectif : document qui permet de combler le fossé qui sépare l'auteur du lecteur
>- intérêts:
>>- améliorer la traçabilité d'un calcul
>>- présenter facilment ses travaux à un collègue
>>- accéder à l'ensemble des calculs sous-jacents à une analyse
>- outils de création:
>- fonctionnement
# RStudio
>- lien instalation - documentation - git-RStudio:
>- [installer RStudio](https://gitlab.inria.fr/learninglab/mooc-rr/mooc-rr-ressources/blob/master//module2/ressources/rstudio_fr.org)
test # Partie 1
\ No newline at end of file
## Sous-partie 1 : texte
Une phrase sans rien
*Une phrase en italique*
__Une phrase en gras__
Un lien vers [fun-mooc.fr](https://www.fun-mooc.fr/)
Une ligne de `code`
## Sous-partie 2 : listes
__Liste à puce__
- item
- sous-item
- sous-item
- item
- item
__Liste numérotée__
1. item
2. item
3. item
## Sous-partie 3 : code
```
# Extrait de code
```
\ No newline at end of file
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{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14.113000000000001"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.mean(data)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.8"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.min(data)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"23.4"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.max(data)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14.5"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.median(data)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.334094455301447"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.std(data, ddof=1)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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