{"id":20456041,"url":"https://github.com/miguelapp10/google_colab_gcp","last_synced_at":"2026-06-07T15:31:28.238Z","repository":{"id":227980156,"uuid":"772857267","full_name":"Miguelapp10/Google_Colab_GCP","owner":"Miguelapp10","description":"Este script está diseñado para obtener datos de Google Sheets de diferentes meses, concatenarlos en un DataFrame y luego cargar estos datos combinados en una tabla de BigQuery para su posterior análisis o procesamiento.","archived":false,"fork":false,"pushed_at":"2024-03-27T19:56:21.000Z","size":49,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T23:30:50.595Z","etag":null,"topics":["cloud","gcp","gcp-cloud-run","gcp-project","google","googlesheets","python","sheet"],"latest_commit_sha":null,"homepage":"https://www.linkedin.com/in/miguelpazosp/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Miguelapp10.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-03-16T04:22:45.000Z","updated_at":"2024-06-12T15:23:18.000Z","dependencies_parsed_at":"2025-01-15T23:06:59.100Z","dependency_job_id":"e073ef91-def8-4a93-9687-cca7fe8a042b","html_url":"https://github.com/Miguelapp10/Google_Colab_GCP","commit_stats":null,"previous_names":["miguelapp10/subir_sheets_gcp","miguelapp10/google_colab_gcp"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Miguelapp10%2FGoogle_Colab_GCP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Miguelapp10%2FGoogle_Colab_GCP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Miguelapp10%2FGoogle_Colab_GCP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Miguelapp10%2FGoogle_Colab_GCP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Miguelapp10","download_url":"https://codeload.github.com/Miguelapp10/Google_Colab_GCP/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242007678,"owners_count":20056773,"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","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":["cloud","gcp","gcp-cloud-run","gcp-project","google","googlesheets","python","sheet"],"created_at":"2024-11-15T11:20:58.945Z","updated_at":"2026-06-07T15:31:28.145Z","avatar_url":"https://github.com/Miguelapp10.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Google Colab\n\n## Subir Hojas sheet a un dataset en GCP\n\nEste script en Python realiza varias tareas relacionadas con la manipulación de datos e integración con los servicios de Google, principalmente Google Sheets y BigQuery.  está diseñado para obtener datos de Google Sheets de diferentes meses, concatenarlos en un DataFrame y luego cargar estos datos combinados en una tabla de BigQuery para su posterior análisis o procesamiento.\n\n## Envio de reporte por outlook masivo\n\nel envío de reportes por correo electrónico de forma masiva desde Google Colab utilizando Python y Outlook combina la potencia y flexibilidad de Python con la familiaridad y funcionalidades avanzadas de Outlook, lo que lo convierte en una opción atractiva para automatizar tareas de comunicación en entornos empresariales y de desarrollo.\n\n- Puedes automatizar por completo el proceso de envío de reportes, lo que ahorra tiempo y esfuerzo en comparación con el envío manual de correos electrónicos a cada destinatario.\n- Con un script de Python, puedes enviar correos electrónicos a un gran número de destinatarios de manera eficiente y sin necesidad de intervención manual adicional.\n- Python ofrece una gran flexibilidad en términos de manipulación de datos y generación de contenido para el correo electrónico. Puedes personalizar fácilmente el cuerpo del correo electrónico y adjuntar archivos específicos según tus necesidades.\n\n![image](https://github.com/Miguelapp10/Google_Colab_GCP/assets/114699192/e2e47fe6-80bf-465a-ba1d-c9fc07367140)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiguelapp10%2Fgoogle_colab_gcp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmiguelapp10%2Fgoogle_colab_gcp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiguelapp10%2Fgoogle_colab_gcp/lists"}