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Data Carpentry Python Ecology lesson v2017.04.0

Greg Wilson; April M. Wright; John Gosset; Leah Wasser; Francois Michonneau; Raniere Silva; Tom Morrell; Abigail Cabunoc; Tracy Teal; Mateusz Kuzak; Ethan White; Thomas Morrell; Carol Willing; Hilmar Lapp; Kari L. Jordan; Mariela Perignon; C. Titus Brown; Thomas Ballinger; stijnvanhoey; Cheng H. Lee; Rémi Emonet; Stefano Menegon; Bennet Fauber; Carlos M Ortiz-Marrero; Erin Becker; Piotr Banaszkiewicz; Aaron Reba; Christian Barra; Karen Cranston; Klemens Noga; Leszek Tarkowski; Nicky Nicolson; Oliver Stueker; Tania Allard; Łukasz Zosiak; Andreas Mueller; Cam Macdonell; Chris Holden; Christie Bahlai; Hugo Bowne-Anderson; Iain Emsley; James Allen; Jeremy D Zucker; Jon Pipitone; Michael Connell; Michael Hansen; Shawn Taylor; dcwalk; evanwill; ladykiyenz; snamburi3; tomhohenstein; Asher Baltzell; Bill Mills; Chris Geroux; Deborah Digges; Gabriel A. Devenyi; Jarmo Kivekas; Jason Sigal; Jonah Duckles; Ming Tang; Muratahan Aykol; Nichole Bennett; Sean RG Barberie; Timothée Poisot; Xu Fei; jnandez; katabat; rsynnest; tvoigt

Editor(s)
John Gosset; April Wright; Mateusz Kuzak

Initial release of Data Carpentry Python Ecology lesson

Funding: Gordon and Betty Moore Foundation, National Science Foundation BIO Centers
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Publication date:
April 30, 2017
DOI:
10.5281/zenodo.570050

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10.5281/zenodo.570050

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Keyword(s):
Python ecology lesson Software Carpentry Data Carpentry data visualization data analysis
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https://github.com/datacarpentry/python-ecology-lesson/tree/v2017.04.0
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