datacarpentry/python-ecology-lesson: Data Carpentry: Data Analysis and Visualization in Python for Ecologists, June 2019
- April Wright
- Maxim Belkin
- Thomas Morrell
- Stijn Van Hoey
- Tracy Teal
- Nicolás Palopoli
- Paula Andrea Martinez
- Ethan P White
- Kari L Jordan
- Mariela Perignon
- Erin Alison Becker
- Thomas Ballinger
- Cheng H. Lee
- Katrin Tirok
- Tania Allard
- Bennet Fauber
- Carlos M Ortiz Marrero
- Rayna Michelle Harris
- Karen Cranston
- Klemens Noga
- Leszek Tarkowski
- Łukasz Zosiak
- Nicky Nicolson
- Oliver Stueker
- Aaron Reba
- Alejandra Noemi Gonzalez-Beltran
- Alex Thompson
- Andreas Mueller
- Ashwin Srinath
- Bianca Peterson
- Christie Bahlai
- Joachim Krois
- Iain Emsley
- maxvillev
- Michael Connell
- Patrick Lestrange
- Sarah M Brown
- Sandeep Namburi
- Wilson Lozano
- Jeremy Daniel Zucker
- Bill Chau
- Chris Geroux
- Christina Maimone
- Chun Ly
- Colin Morris
- Deborah Digges
- Erika Mias
- Gary Leeming
- Jarmo Kivekas
- Jason Sigal
- Javier de la Rosa
- Jazmin Berlanga Medina
- Daniel W Kerchner
- Elizabeth Naluminsa
- Luca Di Stasio
- Ming Tang
- Muratahan Aykol
- Nichole Bennett
- Phillip Doehle
- Rebecca Hartman-Baker
- Rémi Rampin
- rsynnest
- Xu Fei
- Yee Mey
Publication date
July 2019
DOIAbstract
Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in python
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