python-ecology-lesson

Data Analysis and Visualization in Python for Ecologists.
https://github.com/datacarpentry/python-ecology-lesson

Category: Sustainable Development
Sub Category: Education

Keywords

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

Keywords from Contributors

spreadsheet carpentries-incubator open-educational-resources carpentries-lab workshop metagenomics beta life-sciences data-management tidyverse

Last synced: about 2 hours ago
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Repository metadata

Data Analysis and Visualization in Python for Ecologists

Host: GitHub
URL: https://github.com/datacarpentry/python-ecology-lesson
Owner: datacarpentry
License: other
Created: 2015-03-19T19:06:22.000Z (about 10 years ago)
Default Branch: main
Last Pushed: 2025-03-11T00:21:28.000Z (about 2 months ago)
Last Synced: 2025-03-11T10:42:00.853Z (about 2 months ago)
Topics: carpentries, data-carpentry, data-visualisation, data-visualization, data-wrangling, ecology, english, lesson, python, stable
Language: Jupyter Notebook
Homepage: https://datacarpentry.org/python-ecology-lesson
Size: 25.3 MB
Stars: 167
Watchers: 23
Forks: 308
Open Issues: 29
Releases: 3
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION
- Authors: AUTHORS

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

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.

Owner metadata

Name: Data Carpentry
Login: datacarpentry
Email: [email protected]
Kind: organization
Description: Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.
Website: https://datacarpentry.org/
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/6666450?v=4
Repositories: 89
Last ynced at: 2023-03-13T13:55:49.004Z
Profile URL: https://github.com/datacarpentry

GitHub Events

Total

Issues event: 2
Watch event: 5
Delete event: 2
Issue comment event: 5
Push event: 32
Pull request event: 6
Fork event: 3
Create event: 3

Last Year

Issues event: 2
Watch event: 5
Delete event: 2
Issue comment event: 5
Push event: 32
Pull request event: 6
Fork event: 3
Create event: 3

Committers metadata

Last synced: 6 days ago

Total Commits: 854
Total Committers: 150
Avg Commits per committer: 5.693
Development Distribution Score (DDS): 0.87

Commits in past year: 6
Committers in past year: 4
Avg Commits per committer in past year: 1.5
Development Distribution Score (DDS) in past year: 0.5

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	26
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
David Palmquist	d**t@f**u	11
Toni Mey	a**y@e**k	11
Kari L. Jordan	k**n@c**g	11
Michael K. Wilkinson	g****2	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
Mariela Perignon	p**n@c**u	6
Thomas Ballinger	t**r@g**m	6
zkamvar	z****r	6
Boris Gorelik	b**s@g**t	6
Stefano Menegon	s**n@g**m	5
Tom Connolly	t**y@m**u	5
Katrin Leinweber	9****r	5
and 120 more...

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 63
Total pull requests: 82
Average time to close issues: about 2 years
Average time to close pull requests: 7 months
Total issue authors: 41
Total pull request authors: 33
Average comments per issue: 3.48
Average comments per pull request: 1.15
Merged pull request: 73
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 7
Past year average time to close issues: 10 days
Past year average time to close pull requests: 8 days
Past year issue authors: 3
Past year pull request authors: 4
Past year average comments per issue: 0.67
Past year average comments per pull request: 1.0
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/datacarpentry/python-ecology-lesson

Top Issue Authors

maneesha (15)
goi42 (4)
gcapes (4)
catchSheep (2)
tobyhodges (2)
phofl (1)
jeffdotg (1)
sheraaronhurt (1)
alp5088 (1)
caesoma (1)
davis68 (1)
SalazarDomingo (1)
tmorrell (1)
raybellwaves (1)
lisamch (1)

Top Pull Request Authors

tobyhodges (14)
maneesha (11)
btovar (10)
quist00 (8)
carpentries-bot (5)
goi42 (3)
deppen8 (2)
ErinBecker (2)
ialas (2)
nels (2)
harshkumar13 (1)
nuzla (1)
nadiamuhe (1)
pcoombs55 (1)
catchSheep (1)

Top Issue Labels

type:enhancement (14)
good first issue (12)
help wanted (10)
status:waiting for response (8)
type:clarification (5)
status:in progress (4)
status:refer to cac (3)
type:discussion (3)
type:instructor guide (3)
type:bug (2)
high priority (2)
status:wait (2)
type:template and tools (2)
status:need more info (1)
type:typo text (1)

Top Pull Request Labels

type:instructor guide (9)
type: template and tools (5)
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

Score: 10.288749953326771

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