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Open Sustainable Technology

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 9 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: 8 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.*
  • babel 2.14.0.*
  • beautifulsoup4 4.12.3.*
  • 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.*
  • contourpy 1.2.1.*
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  • decorator 5.1.1.*
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  • entrypoints 0.4.*
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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.*
  • jedi 0.19.1.*
  • 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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  • python-json-logger 2.0.7.*
  • python-tzdata 2024.1.*
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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