{"id":20395071,"url":"https://github.com/hamedalemo/xarray-tutorial","last_synced_at":"2025-03-05T00:45:54.343Z","repository":{"id":262751099,"uuid":"888191139","full_name":"HamedAlemo/xarray-tutorial","owner":"HamedAlemo","description":"Notebooks to learn fundamentals of xarray for geospatial data processing in Python","archived":false,"fork":false,"pushed_at":"2024-11-18T06:30:34.000Z","size":15,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T10:57:46.048Z","etag":null,"topics":["geospatial","geospatial-analysis","geospatial-analytics","geospatial-data","geospatial-processing","xarray"],"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/HamedAlemo.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-14T01:06:17.000Z","updated_at":"2024-11-18T06:30:37.000Z","dependencies_parsed_at":"2024-11-14T04:28:39.381Z","dependency_job_id":"c0e8b67b-4e61-4531-90dc-17dcff3baf58","html_url":"https://github.com/HamedAlemo/xarray-tutorial","commit_stats":null,"previous_names":["hamedalemo/xarray-tutorial"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedAlemo%2Fxarray-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedAlemo%2Fxarray-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedAlemo%2Fxarray-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedAlemo%2Fxarray-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HamedAlemo","download_url":"https://codeload.github.com/HamedAlemo/xarray-tutorial/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241945474,"owners_count":20046865,"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":["geospatial","geospatial-analysis","geospatial-analytics","geospatial-data","geospatial-processing","xarray"],"created_at":"2024-11-15T03:55:15.365Z","updated_at":"2025-03-05T00:45:54.312Z","avatar_url":"https://github.com/HamedAlemo.png","language":"Jupyter Notebook","readme":"# Xarray for Geospatial Data Processing\nThis repository contains an introduction to `xarray` for geospatial data processing in Python. This is part of the course on [Advanced Geospatial Analytics with Python](https://hamedalemo.github.io/advanced-geo-python/intro.html) taught since Fall 2023 at Clark University. \n\n## Requirements\n\nYou need to have Docker installed on your machine. \n\n## Instructions\n\n```\ndocker pull hamedalemo/xarray-tutorial:1.0\n```\n```\ndocker run -it -p 8888:8888 hamedalemo/xarray-tutorial:1.0\n```\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `xarray_fundamentals.ipynb` and follow the instructions. \n\n\n### Build Your Docker image:\n\n```\ndocker build -t xarray-tutorial .\n```\n\nRun the container as following after switching to the repository's directory locally:\n\n```\ndocker run -it -p 8888:8888 xarray-tutorial\n```\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `xarray_fundamentals.ipynb` and follow the instructions. ","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedalemo%2Fxarray-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhamedalemo%2Fxarray-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedalemo%2Fxarray-tutorial/lists"}