python-ecology-lesson

Data Analysis and Visualization in Python for Ecologists

https://github.com/datacarpentry/python-ecology-lesson

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

carpentries data-carpentry data-visualisation data-visualization data-wrangling ecology english lesson python stable

Keywords from Contributors

spreadsheet open-educational-resources carpentries-incubator alpha helpwanted-list geospatial-data life-sciences carpentries-lab metagenomics carpentries-instructor-training
Last synced: 4 months ago · JSON representation ·

Repository

Data Analysis and Visualization in Python for Ecologists

Basic Info
Statistics
  • Stars: 168
  • Watchers: 24
  • Forks: 313
  • Open Issues: 38
  • Releases: 3
Topics
carpentries data-carpentry data-visualisation data-visualization data-wrangling ecology english lesson python stable
Created almost 11 years ago · Last pushed 5 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Authors Zenodo

README.md

Create a Slack Account with us Slack Status

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 Image replicating 'Good first issue' label. 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

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

All Time
  • Total Commits: 857
  • Total Committers: 151
  • Avg Commits per committer: 5.675
  • Development Distribution Score (DDS): 0.87
Past Year
  • Commits: 7
  • Committers: 5
  • Avg Commits per committer: 1.4
  • Development Distribution Score (DDS): 0.571
Top Committers
Name Email 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...

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
good first issue (12) type:enhancement (11) help wanted (10) status:waiting for response (6) type:clarification (4) status:refer to cac (3) type:discussion (3) status:in progress (3) type:instructor guide (3) high priority (2) status:wait (2) type:template and tools (2) type:bug (1) status:need more info (1) type:typo text (1) type: template and tools (1)
Pull Request Labels
type: template and tools (10) type:instructor guide (8) type:clarification (4) type:enhancement (4) pre-workbench (2) status:waiting for response (2) type:accessibility (2) type:template and tools (1) type:bug (1) status:in progress (1)

Dependencies

environment.yml conda
  • jupyter
  • matplotlib
  • numpy
  • pandas
  • plotnine
  • python 3.8.*
Gemfile rubygems
  • github-pages >= 0 development
  • webrick >= 1.6.1
.github/workflows/template.yml actions
  • 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
.github/workflows/website.yml actions
  • 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