fair_code_design
This is the repository for the Code design lecture for the FAIR4RS program at the University of Sheffield
https://github.com/fair2-for-research-software/fair_code_design
Science Score: 52.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Institutional organization owner
Organization fair2-for-research-software has institutional domain (rse.shef.ac.uk) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Keywords
Repository
This is the repository for the Code design lecture for the FAIR4RS program at the University of Sheffield
Basic Info
- Host: GitHub
- Owner: FAIR2-for-research-software
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://fair2-for-research-software.github.io/FAIR_Code_design/
- Size: 52.1 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
This course has been developed as part of the FAIR24RS training program created by the RSE team at the University of Sheffield.
Description:
This course on Code Design introduces essential principles and best practices for writing clean, maintainable, and efficient code. It will introduce some standard design patterns that are useful to make your code more generic and maintainable and that will make your life easier as your code base grows. We will begin with the importance of good code design and examine some examples of non-optimally written code, trying to identify where we could make improvements. Focusing on Python language, we will look at how to create functions, classes and see how to organise a source code. We will then learn how we can write clean code, adhering to naming conventions, commenting, and following PEP 8 guidelines.
The end of the training will be dedicated to learning how to leave your code in peace while still be able to modify it: configuration file and command line interfaces.
Target Audience:
This course is aimed at researchers, including postgraduate research students, who write software (whether a few scripts or something more substantial) as part of their research and who want to follow best practices to make their code easier to read and maintain. This course is intended for researchers who use the Python programming language, but the basic concepts can be applied to other programming languages.
Prerequisites:
Basic knowledge of Python is required for this course.
Owner
- Name: UoS FAIR2 for research software
- Login: FAIR2-for-research-software
- Kind: organization
- Email: rse@sheffield.ac.uk
- Website: https://rse.shef.ac.uk/training/fair4rs/
- Repositories: 1
- Profile: https://github.com/FAIR2-for-research-software
Training in FAIR (Findable, Accessible, Interoperable, Reusable) and Reproducible research software skills at the University of Sheffield
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Design your code! (and write less of it)
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Romain
family-names: Thomas
email: romain.thomas@sheffield.ac.uk
affiliation: University of Sheffield
orcid: https://orcid.org/0000-0001-8385-3276
repository-code: https://github.com/Romain-Thomas-Shef/FAIR_Code_design
url: 'https://fair2-for-research-software.github.io/FAIR_Code_design/'
abstract: >-
This course on Code Design introduces essential principles and best practices for writing clean, maintainable, and
efficient code. It will introduce some standard design patterns that are useful to make your code more generic and
maintainable and that will make your life easier as your code base grows. We will begin with the importance of good
code design and examine some examples of non-optimally written code, trying to identify where we could make
improvements. Focusing on Python language, we will look at how to create functions, classes and see how to organise a
source code. We will then learn how we can write clean code, adhering to naming conventions, commenting, and following
PEP 8 guidelines.
keywords:
- carpentries
- fair4rs
- university of sheffield
license: CC-BY-4.0
GitHub Events
Total
- Issues event: 2
- Watch event: 2
- Delete event: 1
- Issue comment event: 5
- Push event: 105
- Pull request event: 6
- Create event: 3
Last Year
- Issues event: 2
- Watch event: 2
- Delete event: 1
- Issue comment event: 5
- Push event: 105
- Pull request event: 6
- Create event: 3
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 2
- Total pull requests: 7
- Average time to close issues: about 2 months
- Average time to close pull requests: about 14 hours
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.5
- Average comments per pull request: 0.71
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 7
- Average time to close issues: about 2 months
- Average time to close pull requests: about 14 hours
- Issue authors: 2
- Pull request authors: 2
- Average comments per issue: 0.5
- Average comments per pull request: 0.71
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ns-rse (1)
- Romain-Thomas-Shef (1)
Pull Request Authors
- ns-rse (5)
- martinjohndyer (3)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
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