{"id":37598289,"url":"https://github.com/sandyherho/tutorial_xarray","last_synced_at":"2026-01-16T10:00:19.451Z","repository":{"id":37227803,"uuid":"240019119","full_name":"sandyherho/tutorial_xarray","owner":"sandyherho","description":"Merupakan buku tutorial bersumber terbuka tentang penanganan data berformat NetCDF dengan menggunakan pustaka xarray","archived":false,"fork":false,"pushed_at":"2022-12-08T03:37:46.000Z","size":6987,"stargazers_count":0,"open_issues_count":16,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-01-29T15:50:02.329Z","etag":null,"topics":["climate-analysis","cmip5","cuaca","geosains","geoscience","geospatial-analysis","iklim","indonesia","maritime-continent","meteorological-data","netcdf","oceanography","oseanografi","python"],"latest_commit_sha":null,"homepage":"https://osf.io/gvf37/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sandyherho.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":"2020-02-12T13:26:06.000Z","updated_at":"2020-02-17T02:24:46.000Z","dependencies_parsed_at":"2023-01-25T04:15:59.634Z","dependency_job_id":null,"html_url":"https://github.com/sandyherho/tutorial_xarray","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/sandyherho/tutorial_xarray","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandyherho%2Ftutorial_xarray","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandyherho%2Ftutorial_xarray/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandyherho%2Ftutorial_xarray/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandyherho%2Ftutorial_xarray/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sandyherho","download_url":"https://codeload.github.com/sandyherho/tutorial_xarray/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sandyherho%2Ftutorial_xarray/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28478049,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T06:30:42.265Z","status":"ssl_error","status_checked_at":"2026-01-16T06:30:16.248Z","response_time":107,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["climate-analysis","cmip5","cuaca","geosains","geoscience","geospatial-analysis","iklim","indonesia","maritime-continent","meteorological-data","netcdf","oceanography","oseanografi","python"],"created_at":"2026-01-16T10:00:18.081Z","updated_at":"2026-01-16T10:00:19.291Z","avatar_url":"https://github.com/sandyherho.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pengantar Analisis NetCDF  menggunakan ```xarray```\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3669057.svg)](https://doi.org/10.5281/zenodo.3669057)\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)\n\n[![made-with-latex](https://img.shields.io/badge/Made%20with-LaTeX-1f425f.svg)](https://www.latex-project.org/)\n[![Open Source Love png1](https://badges.frapsoft.com/os/v1/open-source.png?v=103)](https://osf.io/gvf37/)\n[![License: CC0-1.0](https://img.shields.io/badge/License-CC0%201.0-lightgrey.svg)](http://creativecommons.org/publicdomain/zero/1.0/)\n\n\n\n```xarray``` merupakan pustaka di lingkungan komputasi ilmiah Python yang berguna untuk menangani dataset\nmultidimensi dengan metode pelabelan seperti pada struktur ```DataFrame```  di pustaka pandas. Hal ini sangatlah menguntungkan bagi kaum \u003ci\u003eawam\u003c/i\u003e yang terbiasa\nmenangani data tabular, untuk mengeksplorasi data multidimensi secara lebih intuitif. Tutorial ini sendiri lebih berfokus pada analisis sederhana data luaran model iklim\nberformat NetCDF menggunakan ```xarray```. Diharapkan dengan hadirnya tutorial ini, dapat membantu kesulitan para praktisi dan mahasiswa S-1, utamanya untuk bidang non-geosains dalam mengeksplorasi data berformat NetCDF.\n\n\nUntuk mereproduksi tutorial ini pastikan kalian telah melakukan hal - hal sebagai berikut:\n\n1. Jalankan: ```git clone git@github.com:sandyherho/tutorial_xarray.git```\n\n2. Unduh dan jalankan [Anaconda versi 3](https://www.anaconda.com/distribution/#download-section).\n\n3. Jalankan perintah berikut ini: ```conda env create -f tutorial_xarray.yml```\n\n4. Unduh data model iklim global yang dijadikan contoh pada folder ```Data``` di situs [ini](https://osf.io/gvf37/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandyherho%2Ftutorial_xarray","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsandyherho%2Ftutorial_xarray","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandyherho%2Ftutorial_xarray/lists"}