{"id":20448607,"url":"https://github.com/datacamp/community-groupby","last_synced_at":"2025-04-13T01:29:43.889Z","repository":{"id":46830281,"uuid":"104495311","full_name":"datacamp/community-groupby","owner":"datacamp","description":"This repository contains notebook + code for DataCamp community post on groupbys, split-apply-combine and pandas.","archived":false,"fork":false,"pushed_at":"2021-09-23T06:04:09.000Z","size":233,"stargazers_count":19,"open_issues_count":1,"forks_count":153,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-26T19:12:24.453Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/datacamp.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-09-22T16:23:53.000Z","updated_at":"2024-10-21T18:00:33.000Z","dependencies_parsed_at":"2022-08-04T03:15:26.593Z","dependency_job_id":null,"html_url":"https://github.com/datacamp/community-groupby","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/datacamp%2Fcommunity-groupby","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datacamp%2Fcommunity-groupby/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datacamp%2Fcommunity-groupby/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datacamp%2Fcommunity-groupby/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datacamp","download_url":"https://codeload.github.com/datacamp/community-groupby/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248654026,"owners_count":21140235,"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":"2024-11-15T10:35:54.602Z","updated_at":"2025-04-13T01:29:43.844Z","avatar_url":"https://github.com/datacamp.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# community-groupby\nThis repository contains notebook + code for DataCamp community post on groupbys, split-apply-combine and pandas.\n\n## Getting set up\n\nClone this repository\n\n```\ngit clone https://github.com/datacamp/community-groupby\n```\n\nIf you do not already have the [Anaconda distribution](https://www.anaconda.com/download/), go get it (n.b., you can also do this w/out Anaconda using `pip` to install the required packages, however Anaconda is great for Data Science and I encourage you to use it).\n\nNavigate to the relevant directory `community-groupby` and install required packages in a new conda environment:\n\n```\nconda env create -f environment.yml\n```\n\nThis will create a new environment called group-by-pandas-netflix. To activate the environment, execute\n\n```\nsource activate group-by-pandas-netflix\n```\n\nThen open the notebook `split-apply-combine-netflix-data.ipynb` and execute the code.\n\n\n### Code\nThe code in this repository is released under the [MIT license](LICENSE). Read more at the [Open Source Initiative](https://opensource.org/licenses/MIT). All text remains the Intellectual Property of DataCamp. If you wish to reuse, adapt or remix, get in touch with me at hugo at datacamp com to request permission.\n\n### Data\n\nData is from [data.world and Chase Willden](https://data.world/chasewillden/netflix-shows).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatacamp%2Fcommunity-groupby","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatacamp%2Fcommunity-groupby","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatacamp%2Fcommunity-groupby/lists"}