{"id":19809894,"url":"https://github.com/lewagon/data-templates","last_synced_at":"2025-05-01T08:31:24.949Z","repository":{"id":37875964,"uuid":"496641027","full_name":"lewagon/data-templates","owner":"lewagon","description":"Curated templates for data analysis / science","archived":false,"fork":false,"pushed_at":"2023-03-16T13:13:24.000Z","size":579,"stargazers_count":44,"open_issues_count":1,"forks_count":33,"subscribers_count":10,"default_branch":"main","last_synced_at":"2025-04-06T11:24:16.939Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","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/lewagon.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":"2022-05-26T13:57:07.000Z","updated_at":"2025-04-04T07:40:14.000Z","dependencies_parsed_at":"2023-02-13T23:45:41.261Z","dependency_job_id":null,"html_url":"https://github.com/lewagon/data-templates","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/lewagon%2Fdata-templates","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lewagon%2Fdata-templates/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lewagon%2Fdata-templates/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lewagon%2Fdata-templates/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lewagon","download_url":"https://codeload.github.com/lewagon/data-templates/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251847677,"owners_count":21653561,"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":"2024-11-12T09:18:35.755Z","updated_at":"2025-05-01T08:31:24.551Z","avatar_url":"https://github.com/lewagon.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## What is this repo about ?\n\nLe Wagon is hereby curating a selected list of useful **open-source templates** for data analysis / data science.\n\n✅ These templates should be:\n\n- self-explanatory\n- replicable (provided Le Wagon [data-setup](https://github.com/lewagon/data-setup) has been done on the machine)\n- focused on one specific theme\n\nA theme could be:\n- A **project boilerplate**: A typical 2 weeks-long / 4 students project in the spirit of what is done at [Le Wagon Data Science bootcamp](https://www.lewagon.com/data-science-course/full-time)\n  - e.g. \"Time-Series cross-validation boilerplate\"\n  - e.g. \"Reinforcement Learning boilerplate\"\n  - e.g. \"Image classification trainer + streamlit API boilerplate\"\n  - ...\n\n\n- A **tutorials** guide focused on one specific topic worth sharing\n  - e.g. \"Removing bottlenecks with Numba, Cython, and TensorFlow\"\n\n## How to contribute ?\n\nFeel free to contribute by adding your suggestions\n\n### Submit a pull request with new templates or improve existing ones\n👉 Fork this repository to your account, and submit pull-requests following [the standard open-source contribution](https://jarv.is/notes/how-to-pull-request-fork-github/) methodology\n\n👉 Le Wagon team will check your PR and integrate it to the list if it pass quality standards\n\n### Discuss features/improvements/suggestions\n👉 https://github.com/lewagon/data-templates/discussions\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flewagon%2Fdata-templates","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flewagon%2Fdata-templates","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flewagon%2Fdata-templates/lists"}