{"id":23317474,"url":"https://github.com/ccamara/datascience_r_python","last_synced_at":"2025-04-07T04:30:00.720Z","repository":{"id":149791992,"uuid":"536317757","full_name":"ccamara/datascience_r_python","owner":"ccamara","description":"A quarto site comparting R and Python","archived":false,"fork":false,"pushed_at":"2022-10-26T21:03:42.000Z","size":12886,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-13T08:52:45.594Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","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/ccamara.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":"2022-09-13T21:41:56.000Z","updated_at":"2022-10-26T21:03:48.000Z","dependencies_parsed_at":"2023-06-02T15:45:10.028Z","dependency_job_id":null,"html_url":"https://github.com/ccamara/datascience_r_python","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ccamara%2Fdatascience_r_python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ccamara%2Fdatascience_r_python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ccamara%2Fdatascience_r_python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ccamara%2Fdatascience_r_python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ccamara","download_url":"https://codeload.github.com/ccamara/datascience_r_python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247593444,"owners_count":20963711,"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":[],"created_at":"2024-12-20T16:30:28.192Z","updated_at":"2025-04-07T04:30:00.703Z","avatar_url":"https://github.com/ccamara.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# R and Python comparison\n\nThis site is a proof of concept that aims to become a reference for people wanting to perform common tasks in data science using R or Python.\n\nSite goals:\n\n* Learn how specific tasks are done as compared to their programming knowledge\n* Facilitate a transition from R to Python or from Python to R\n* Become a reference material\n\n## About the author(s)\n\nSo far this is a work by [Carlos Cámara](https://carloscamara.es/en), Senior Research Software Engineer at the University of Warwick's [Centre for Interidisciplinary Methodologies](https://warwick.ac.uk/fac/cross_fac/cim/), but it's open to collaboration.\n\n## Project setup\n\nThis project uses quarto, R, Python, and virtual environments (see below) to handle python dependencies\n\n### Virtual environments\n\nVirtual environments are managed by conda, which means that you should have [Anaconda distribution](https://www.anaconda.com/) installed (Read [installing instructions on their website](https://www.anaconda.com/distribution/))\n\nActivate virtual environment\n\n```bash\nconda activate datascience_r_python\n```\n\nDeactivate virtual environment:\n\n```bash\nconda deactivate\n```\n\nUpdate virtual environment from `environment.yml`:\n\n```bash\nconda env update -f environment.yml\n```\n\nRecreate virtual environment from `environment.yml`:\n\n```bash\nconda env create -f environment.yml\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fccamara%2Fdatascience_r_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fccamara%2Fdatascience_r_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fccamara%2Fdatascience_r_python/lists"}