{"id":20395071,"url":"https://github.com/hamedalemo/xarray-tutorial","last_synced_at":"2026-05-28T13:03:44.615Z","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":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T00:45:44.300Z","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":"2025-02-13T08:06:58.000Z","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,"purl":"pkg:github/HamedAlemo/xarray-tutorial","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","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedAlemo%2Fxarray-tutorial/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33609242,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-05-28T02:00:06.440Z","response_time":99,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2026-05-28T13:03:44.610Z","avatar_url":"https://github.com/HamedAlemo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"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 can use conda to install the local environment and run the notebooks in this repository, or use Docker to pull an existing image from DockerHub, or build a Docker image locally. Follow one of the three instructions below based on your preference. \n\n\n## Instructions for Local Conda Environment\n\n```\nconda env create -f environment.yml\n```\n```\nconda activate xarray_tutorial\n```\n```\njupyter lab\n```\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `xarray_fundamentals.ipynb` and follow the instructions. \n- Open `xarray_advanced.ipynb` and follow the instructions. \n\n\n\n## Instructions for DockerHub\n\n```\ndocker pull hamedalemo/xarray-tutorial:1.1\n```\n```\ndocker run -it -p 8888:8888 hamedalemo/xarray-tutorial:1.1\n```\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `xarray_fundamentals.ipynb` and follow the instructions. \n- Open `xarray_advanced.ipynb` and follow the instructions. \n\n\n## Instruction to Build Your Docker Local Image\n\n```\ndocker build -t xarray-tutorial .\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. \n- Open `xarray_advanced.ipynb` and follow the instructions. \n","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"}