{"id":26721311,"url":"https://github.com/koldlight/python-data-ull","last_synced_at":"2026-01-07T05:05:09.958Z","repository":{"id":284777514,"uuid":"956030736","full_name":"koldLight/python-data-ull","owner":"koldLight","description":"Introducción a Python para Ciencia de Datos - Universidad de La Laguna","archived":false,"fork":false,"pushed_at":"2025-11-16T23:38:05.000Z","size":15844,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-17T01:19:05.888Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/koldLight.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-03-27T15:30:29.000Z","updated_at":"2025-11-16T23:38:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"e3531b82-0ba2-42d3-9957-4403f09de21b","html_url":"https://github.com/koldLight/python-data-ull","commit_stats":null,"previous_names":["koldlight/python-data-ull"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/koldLight/python-data-ull","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koldLight%2Fpython-data-ull","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koldLight%2Fpython-data-ull/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koldLight%2Fpython-data-ull/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koldLight%2Fpython-data-ull/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/koldLight","download_url":"https://codeload.github.com/koldLight/python-data-ull/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koldLight%2Fpython-data-ull/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28232763,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2026-01-07T02:00:05.975Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-03-27T19:51:57.981Z","updated_at":"2026-01-07T05:05:09.952Z","avatar_url":"https://github.com/koldLight.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ULL - Introducción a Python para tratamiento de datos\n\n## Opción recomendable - Entorno local\n\n### 1. Descarga del material (Notebooks)\n\nDescárgalo en tu ordenador, preferiblemente en una ruta sin espacios.\n\nPara descargarlo en un zip, puedes hacer click en code / download zip (o lo equivalente en el idioma de tu navegador), o directamente haciendo click [aquí](https://github.com/koldLight/python-data-ull/archive/refs/heads/main.zip).\n\n### 2. Instrucciones para poner a punto el entorno\n\nPuedes utilizar `uv`. Si aún no lo tienes instalado, puedes hacerlo así:\n\nEn Mac y Linux:\n\n```\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\nEn Windows\n\n```\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n```\n\nTendrás que abrir la terminal de tu sistema operativo y navegar hasta donde hayas descomprimido el material. Por ejemplo, si está en el escritorio:\n\nEn Mac:\n\n```\ncd /Users/\u003ctu_nombre_de_usuario\u003e/Desktop/python-data-ull\n```\n\nEn Windows (con cmd.exe):\n\n```\ncd C:\\Usuarios\\\u003ctu_nombre_de_usuario\u003e\\Escritorio\\python-data-ull\n```\n\nLa ruta la tendrás que sustituir por lo que corresponda.\n\nPara instalar los paquetes necesarios con `uv`, haz:\n\n```\nuv sync\n```\n\nNecesitas crear el kernel de jupyter, hazlo así:\n\nEn mac / linux:\n\n```\n./.venv/bin/python -m ipykernel install --user --name=ull-python-data --display-name \"ULL Python Data\"\n```\n\nEn Windows:\n\n```\n.\\.venv\\Scripts\\python.exe -m ipykernel install --user --name=ull-python-data --display-name \"ULL Python Data\"\n```\n\nY para lanzar los jupyter notebooks, estando en la carpeta donde están tus notebooks (donde descomprimiste el material), haz:\n\n```\nuv run jupyter notebook .\n```\n\n## Opción alternativa - Sin entorno local - Google Colab\n\nSi esto te falla, o no eres administrador de tu ordenador, puedes lanzar el contenido en Google Colab. Para ello, abre:\n\nhttps://colab.research.google.com/github/koldLight/python-data-ull/blob/main/\n\nY haz click en el notebook que vayamos a ver. Te tocará descomentar la celda inicial que trae cada notebook para poder bajar datos e imágenes necesarias para su correcta ejecución.\n\n## Licencia\n\n[![](http://i.creativecommons.org/l/by-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-sa/4.0/)\n\nPuedes utilizar libremente este material, con las siguientes condiciones:\n\n* Atribuir la autoría a este repositorio.\n* Si lo utilizas y haces cambios, deberás liberarlo también bajo la misma licencia.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoldlight%2Fpython-data-ull","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkoldlight%2Fpython-data-ull","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoldlight%2Fpython-data-ull/lists"}