python-ecology-lesson
Data Analysis and Visualization in Python for Ecologists
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
32 of 151 committers (21.2%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Data Analysis and Visualization in Python for Ecologists
Basic Info
- Host: GitHub
- Owner: datacarpentry
- License: other
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://datacarpentry.github.io/python-ecology-lesson/
- Size: 26.1 MB
Statistics
- Stars: 168
- Watchers: 24
- Forks: 313
- Open Issues: 38
- Releases: 3
Topics
Metadata Files
README.md
Data Carpentry Python Lessons with Ecological Data
This repository contains the Data Carpentry Python material based on ecological data. Please see our contribution guidelines for information on how to contribute updates, bug fixes, or other corrections.
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.
Please see the current list of issues for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag .
This indicates that the maintainers will welcome a pull request fixing this issue.
Maintainer(s)
Current maintainers of this lesson are
Authors
A list of contributors to the lesson can be found in AUTHORS
Citation
To cite this lesson, please consult with CITATION
Owner
- Name: Data Carpentry
- Login: datacarpentry
- Kind: organization
- Email: team@carpentries.org
- Website: https://datacarpentry.org/
- Repositories: 89
- Profile: https://github.com/datacarpentry
Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.
Citation (CITATION)
Please cite as: John Gosset, April Wright (eds): "Data Carpentry Python Ecology lesson." Version 2017.04.0, April 2017, http://www.datacarpentry.org/python-ecology-lesson/, FIXME: Add Zenodo DOI.
GitHub Events
Total
- Issues event: 3
- Watch event: 6
- Delete event: 5
- Issue comment event: 25
- Push event: 47
- Pull request review event: 1
- Pull request event: 15
- Fork event: 5
- Create event: 5
Last Year
- Issues event: 3
- Watch event: 6
- Delete event: 5
- Issue comment event: 25
- Push event: 47
- Pull request review event: 1
- Pull request event: 15
- Fork event: 5
- Create event: 5
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| April M. Wright | w****m@g****m | 111 |
| Maxim Belkin | m****n@g****m | 84 |
| Leah Wasser | l****r@c****u | 57 |
| John Gosset | j****t@g****m | 42 |
| Tom Morrell | t****l@c****u | 39 |
| stijnvanhoey | s****y@g****m | 38 |
| Toby Hodges | t****s@g****m | 27 |
| Nicolas Palopoli | n****o@g****m | 24 |
| maneesha | 8****a | 22 |
| Mateusz Kuzak | m****k@g****m | 18 |
| Paula Andrea Martinez | o****0 | 18 |
| Tracy Teal | t****t@i****g | 14 |
| Benjamin Tovar | b****r@n****u | 12 |
| Carol Willing | c****e@w****m | 12 |
| Serah Njambi Rono | s****u@g****m | 12 |
| Michael K. Wilkinson | g****2 | 11 |
| Kari L. Jordan | k****n@c****g | 11 |
| Toni Mey | a****y@e****k | 11 |
| David Palmquist | d****t@f****u | 11 |
| cbrafter | c****7@g****m | 10 |
| Sarah Pohl | s****l@o****e | 7 |
| Francois Michonneau | f****u@g****m | 7 |
| Andrew Sanchez | i****z@g****m | 7 |
| zkamvar | z****r | 7 |
| Mariela Perignon | p****n@c****u | 6 |
| Boris Gorelik | b****s@g****t | 6 |
| Thomas Ballinger | t****r@g****m | 6 |
| Cheng H. Lee | c****e@g****m | 5 |
| Ethan White | e****n@w****g | 5 |
| Hunter Powell | h****l@g****m | 5 |
| and 121 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 62
- Total pull requests: 95
- Average time to close issues: about 2 years
- Average time to close pull requests: 6 months
- Total issue authors: 40
- Total pull request authors: 35
- Average comments per issue: 3.58
- Average comments per pull request: 1.11
- Merged pull requests: 78
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 17
- Average time to close issues: N/A
- Average time to close pull requests: 10 days
- Issue authors: 1
- Pull request authors: 7
- Average comments per issue: 0.0
- Average comments per pull request: 0.88
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- maneesha (14)
- gcapes (4)
- goi42 (4)
- fmichonneau (1)
- sheraaronhurt (1)
- alp5088 (1)
- caesoma (1)
- davis68 (1)
- SalazarDomingo (1)
- tmorrell (1)
- raybellwaves (1)
- lisamch (1)
- patricia-ternes (1)
- katrintirok (1)
- carpentries-bot (1)
Pull Request Authors
- maneesha (21)
- tobyhodges (15)
- quist00 (14)
- carpentries-bot (10)
- btovar (9)
- jas58 (5)
- goi42 (4)
- deppen8 (2)
- lannzach-sul (2)
- ErinBecker (2)
- nels (2)
- ialas (2)
- harshkumar13 (1)
- nuzla (1)
- nadiamuhe (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- jupyter
- matplotlib
- numpy
- pandas
- plotnine
- python 3.8.*
- github-pages >= 0 development
- webrick >= 1.6.1
- actions/cache v2 composite
- actions/checkout master composite
- actions/setup-python v2 composite
- r-lib/actions/setup-r v2 composite
- ruby/setup-ruby v1 composite
- actions/cache v2 composite
- actions/checkout master composite
- actions/setup-python v2 composite
- r-lib/actions/setup-r v2 composite
- ruby/setup-ruby v1 composite