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---
title: "Template for Python training material" # See below for multilingual resource
format: html # This qmd file will be compiled as HTML only (no notebook)
include-before-body:
- text: <img src="resources/cover/main2.png" style="max-width:900px;width:100%"><br>
author:
- name: Public Statistician 1
url: https://github.com/publicstatistician1
email: Public.Statistician1@statistics.org
- name: Public Statistician 2
url: https://github.com/publicstatistician2
email: Public.Statistician2@statistics.org
date: "2025-05-16"
doi: "10.1000/182" # Optional
license: "CC-BY 4.0" # Optional
# If resources is multilingual, adopt that structure
# (need to have both title and title-* fields)
# title: "Hello SSPCloud"
# title-en: "Hello SSPCloud"
# title-fr: "Bonjour SSPCloud"
description: |
This template is a fast starting pack for AIML4OS projects that use `Python`. For `R` projects, see [this `Github` repository](https://github.com/InseeFrLab/AIML4OS-template-quarto-r).
# If resources is multilingual, adopt that structure
# (need to have both description and description-* fields)
# description: |
# Resource summaries are embedded as metadata for use in training portals and for sharing on social media.
# description-multilingual:
# en: |
# Resource summaries are embedded as metadata for use in training portals and for sharing on social media.
# fr: |
# Les résumés des ressources sont intégrés sous forme de métadonnées, utiles pour les portails de formation ou le partage sur les réseaux sociaux.
tags:
- Starter Pack
- SSPCloud Documentation
image: "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQY-OenRMvFyZUfDm_snUCxpV4SyaHvUeqObA&s"
# You can also add any valid Quarto option:
# HTML: https://quarto.org/docs/reference/formats/html.html
# PDF: https://quarto.org/docs/reference/formats/pdf.html
# ...
# Custom metadata for training portals -------------------------------------
duration: "90" # Duration in minutes
skills:
- Git Basics
- Quarto Authoring
- Reproducible Research
- Using SSPCloud
courseMaterial:
- R Scripts
# - Videos
# - Jupyter Notebooks
publicLevel:
- Beginner
- Intermediate
# - Expert
resourceLanguage:
- R
# - Python
suggestedBefore:
- https://quarto.org/
- https://juba.github.io/tidyverse/
deploymentURL:
- rstudio:
- "https://datalab.sspcloud.fr/launcher/ide/rstudio-sparkr?autoLaunch=true&init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2FInseeFrLab%2Fformation-bceao%2Fmain%2Ftp%2Finit-tp.sh%C2%BB&resources.limits.memory=%C2%AB100Gi%C2%BB&persistence.size=%C2%AB40Gi%C2%BB&init.personalInitArgs=%C2%ABen%C2%BB"
- jupyter:
- "https://datalab.sspcloud.fr/launcher/ide/jupyter-python?name=jupyter-python&shared=false&version=1.13.44&autoLaunch=true&init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2Flinogaliana%2Fpython-datascientist%2Fmaster%2Fsspcloud%2Finit-jupyter.sh%C2%BB&init.personalInitArgs=%C2%ABen%2Fmanipulation%2001_numpy%C2%BB"
- vscode:
- en: "https://datalab.sspcloud.fr/launcher/ide/vscode-python?autoLaunch=true&onyxia.friendlyName=%C2%AB03_geopandas_intro%C2%BB&init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2Flinogaliana%2Fpython-datascientist%2Fmaster%2Fsspcloud%2Finit-vscode.sh%C2%BB&init.personalInitArgs=%C2%ABen/manipulation%2003_geopandas_intro%C2%BB&security.allowlist.enabled=false"
- fr: "https://datalab.sspcloud.fr/launcher/ide/vscode-python?autoLaunch=true&onyxia.friendlyName=%C2%AB03_geopandas_intro%C2%BB&init.personalInit=%C2%ABhttps%3A%2F%2Fraw.githubusercontent.com%2Flinogaliana%2Fpython-datascientist%2Fmaster%2Fsspcloud%2Finit-vscode.sh%C2%BB&init.personalInitArgs=%C2%ABen/manipulation%2003_geopandas_intro%C2%BB&security.allowlist.enabled=false"
suggestedRequirements:
- "https://quarto.org/"
- "https://scikit-learn.org/stable/"
# Optional: Statistical process classification
gsbpm: "5.1" # See complete taxonomy: https://www.unescap.org/sites/default/d8files/event-documents/GSBPM_v5.1_R_for_SBP_8-18Apr2024.pdf
---
# What is this template?
This template is a Quarto Website customized for the AIML4OS project, designed to be used with {{< fa brands python >}}.
# How to use it?
See [this tutorial](https://aiml4os.github.io/training-material-starting-pack/).