Glosario: A multilingual glossary for computing and data science terms.
Authors/Creators
Description
glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file.
Technical info (English)
To advance data science knowledge and accessibility for our diverse community, we have developed Glosario, a multilingual glossary of data science terms. The easiest way to contribute is to use our Google Form, which does not require any technical experience.
If you are comfortable using GitHub, you can also contribute there. You do not need to know any programming language — a basic familiarity with the GitHub web interface is sufficient. We have prepared a detailed and accessible guide to assist you. To support contributors further, we have also created short YouTube videos demonstrating how to contribute:
- Recording in English
- Recording in Español
- or you can Auto Translate a YouTube Video into your Language
Contributions are welcome in any language, not only those currently represented in the glossary. If you need help with your contribution, you can ask questions in the #glosario Slack channel or email us at community@carpentries.org. If you are not yet a member of The Carpentries Slack, you may request access here.
Notes (English)
Files
Files
(514.1 kB)
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Additional details
Funding
- Department of Science and Innovation
- Andrew W. Mellon Foundation
Software
- Repository URL
- https://github.com/carpentries/glosario
- Programming language
- SCSS , JavaScript , HTML , Python , CSS , Makefile
- Development Status
- Active