https://github.com/carpentries-incubator/python-intermediate-inflammation
A template software project for use in Intermediate Research Software Development Skills In Python course. Contact: @anenadic
https://github.com/carpentries-incubator/python-intermediate-inflammation
alpha carpentries carpentries-incubator english training workshop
Last synced: 6 months ago
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A template software project for use in Intermediate Research Software Development Skills In Python course. Contact: @anenadic
- Host: GitHub
- URL: https://github.com/carpentries-incubator/python-intermediate-inflammation
- Owner: carpentries-incubator
- License: mit
- Created: 2020-04-07T10:06:58.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-03-10T10:51:33.000Z (7 months ago)
- Last Synced: 2025-04-04T04:48:17.916Z (6 months ago)
- Topics: alpha, carpentries, carpentries-incubator, english, training, workshop
- Language: Python
- Homepage:
- Size: 67.4 KB
- Stars: 5
- Watchers: 11
- Forks: 272
- Open Issues: 6
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Metadata Files:
- Readme: README.md
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README
# Introduction
This is a template software project repository used by the [Intermediate Research Software Development Skills In Python](https://github.com/carpentries-incubator/python-intermediate-development).
## Purpose
This repository is intended to be used as a code template which is copied by learners at [Intermediate Research Software Development Skills In Python](https://github.com/carpentries-incubator/python-intermediate-development) course.
This software project is not finished, does not contain a LICENCE file, the code is currently failing to run and contains some code style issues.
It is used as a starting point for the course - issues will be fixed and code will be added in a number of places during the course by learners in their own copies of the repository, as course topics are introduced.## Tests
Several tests have been implemented already, some of which are currently failing.
These failing tests set out the requirements for the additional code to be implemented during the workshop.The tests should be run using `pytest`, which will be introduced during the workshop.