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Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

Argo Online School

Teach the basic foundations to use and understand the Argo data, an international program that collects information from inside the ocean using a fleet of approximately 4,000 floats that drift with the ocean currents.
https://github.com/euroargodev/argoonlineschool

Category: Sustainable Development
Sub Category: Education

Keywords

argo argo-data argo-floats online-learning python training-material tutorial

Last synced: about 2 hours ago
JSON representation

Repository metadata

Here you can find find the source code of the Argo Online school.

README.md

The Argo Online School is a set of videos and hands-on jupyter notebooks to describe the minimum requiremets to use, and understand, the Argo data. This is the source repository for https://github.com/euroargodev/argoonlineschool/
status Jupyter Book Badge DOI

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: González-Santana
  given-names: Alberto
  orcid: "https://orcid.org/0000-0001-5781-9330"
- family-names: Vélez-Belchí
  given-names: Pedro
  orcid: "https://orcid.org/0000-0003-2404-5679"
doi: 10.5281/zenodo.13929139
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: González-Santana
    given-names: Alberto
    orcid: "https://orcid.org/0000-0001-5781-9330"
  - family-names: Vélez-Belchí
    given-names: Pedro
    orcid: "https://orcid.org/0000-0003-2404-5679"
  date-published: 2024-10-20
  doi: 10.21105/jose.00193
  issn: 2577-3569
  issue: 80
  journal: Journal of Open Source Education
  publisher:
    name: Open Journals
  start: 193
  title: "The Argo Online School: An e-learning tool to get started with
    Argo"
  type: article
  url: "https://jose.theoj.org/papers/10.21105/jose.00193"
  volume: 7
title: "The Argo Online School: An e-learning tool to get started with
  Argo"

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 304
Total Committers: 4
Avg Commits per committer: 76.0
Development Distribution Score (DDS): 0.273

Commits in past year: 103
Committers in past year: 3
Avg Commits per committer in past year: 34.333
Development Distribution Score (DDS) in past year: 0.165

Name Email Commits
Pedro Velez p****i@g****m 221
Alberto Gonzalez j****s@g****m 78
Guillaume Maze g****e@i****r 4
Karen Smith k****7 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 20
Total pull requests: 5
Average time to close issues: 11 months
Average time to close pull requests: 3 days
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 1.35
Average comments per pull request: 1.0
Merged pull request: 3
Bot issues: 0
Bot pull requests: 0

Past year issues: 8
Past year pull requests: 3
Past year average time to close issues: 21 days
Past year average time to close pull requests: 4 days
Past year issue authors: 2
Past year pull request authors: 2
Past year average comments per issue: 0.63
Past year average comments per pull request: 0.33
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/euroargodev/argoonlineschool

Top Issue Authors

  • PedroVelez (11)
  • djmallum (6)
  • imab4bsh (1)
  • francispoulin (1)
  • ldiaz-barroso (1)

Top Pull Request Authors

  • gmaze (2)
  • kls2177 (2)
  • PedroVelez (1)

Top Issue Labels

  • enhancement (9)
  • JOSE review (8)
  • update (3)
  • question (1)

Top Pull Request Labels

  • documentation (1)
  • enhancement (1)

Dependencies

.github/workflows/book.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • peaceiris/actions-gh-pages v3.5.9 composite
environment.yml conda
  • anyio 4.4.0.*
  • appnope 0.1.4.*
  • argon2-cffi 23.1.0.*
  • argon2-cffi-bindings 21.2.0.*
  • arrow 1.3.0.*
  • asttokens 2.4.1.*
  • async-lru 2.0.4.*
  • attrs 24.2.0.*
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  • bleach 6.1.0.*
  • blosc 1.21.6.*
  • brotli 1.1.0.*
  • brotli-bin 1.1.0.*
  • brotli-python 1.1.0.*
  • bzip2 1.0.8.*
  • c-ares 1.33.0.*
  • ca-certificates 2024.7.4.*
  • cached-property 1.5.2.*
  • cached_property 1.5.2.*
  • cartopy 0.23.0.*
  • certifi 2024.7.4.*
  • cffi 1.17.0.*
  • cftime 1.6.4.*
  • charset-normalizer 3.3.2.*
  • comm 0.2.2.*
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  • decorator 5.1.1.*
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  • executing 2.0.1.*
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  • httpx 0.27.0.*
  • hyperframe 6.0.1.*
  • icu 75.1.*
  • idna 3.7.*
  • importlib-metadata 8.2.0.*
  • importlib_metadata 8.2.0.*
  • importlib_resources 6.4.2.*
  • ipykernel 6.29.5.*
  • ipython 8.26.0.*
  • isoduration 20.11.0.*
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  • jinja2 3.1.4.*
  • json5 0.9.25.*
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  • jsonschema-specifications 2023.12.1.*
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  • jupyter-lsp 2.2.5.*
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requirements.txt pypi
  • argopy *
  • dask >=2.9
  • erddapy >=0.5
  • fsspec >=0.7.1
  • ipython >=5.0.0
  • jupyter-book >=0.7.0b
  • netCDF4 >=1.3.1
  • numpydoc >=0.6.0
  • scikit-learn >=0.21
  • scipy >=1.1.0
  • toolz >=0.8.2
  • xarray >=0.14

Score: 4.787491742782046