swd1a-python
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: plos.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: callaghanmt-training
- License: other
- Language: Python
- Default Branch: gh-pages
- Size: 6.98 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Programming with Python
An introduction to Python for non-programmers using inflammation data.
About the Lesson
This lesson teaches novice programmers to write modular code to perform data analysis using Python. The emphasis, however, is on teaching language-agnostic principles of programming such as automation with loops and encapsulation with functions, see Best Practices for Scientific Computing and Good enough practices in scientific computing to learn more.
The example used in this lesson analyses a set of 12 files with simulated inflammation data collected from a trial for a new treatment for arthritis. Learners are shown how it is better to automate analysis using functions instead of repeating analysis steps manually.
The rendered version of the lesson: https://swcarpentry.github.io/python-novice-inflammation/
This lesson is also available in R and MATLAB.
Contributing
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes!
Maintainers
Lesson maintainers are Trevor Bekolay, Maxim Belkin, Anne Fouilloux, Valentina Staneva, Mike Trizna, and creator of Software Carpentry: Greg Wilson
Authors
A list of contributors to the lesson can be found in AUTHORS
Citation
To cite this lesson, please consult with CITATION
Owner
- Name: callaghanmt-training
- Login: callaghanmt-training
- Kind: organization
- Repositories: 1
- Profile: https://github.com/callaghanmt-training
Citation (CITATION)
Please cite as: Azalee Bostroem, Trevor Bekolay, and Valentina Staneva (eds): "Software Carpentry: Programming with Python." Version 2016.06, June 2016, https://github.com/swcarpentry/python-novice-inflammation, 10.5281/zenodo.57492.
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Dependencies
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