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di-neon-participants's Introduction

Welcome to the DI-NEON-participants GitHub Repo!

This repository is used to collect & share materials during the pre-institute lessons that are part of NEON Data Institutes. Additionally it is used as a training platform for using Git & GitHub during NEON workshops.

NEON Data Skills provides tutorials and resources for working with scientific data, including that collected by the National Ecological Observatory Network (NEON). NEON is an ecological observatory that will collect and provide open data for 30 years.

For more information on NEON, visit the website: www.neonscience.org

For NEON Data Skills educational resources, visit the NEON Data Skills section of the NEON website.

Credits & Acknowledgements

The National Ecological Observatory Network is a project solely funded by the National Science Foundation and managed under cooperative agreement by Battelle. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

License

GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007

Disclaimer

Information and documents contained within this repository are available as-is. Codes or documents, or their use, may not be supported or maintained under any program or service and may not be compatible with data currently available from the NEON Data Portal.

di-neon-participants's People

Contributors

aklangston avatar alweill avatar cassondrawalker avatar catherinehulshof avatar cklunch avatar dramccaffrey avatar gponce-ars avatar granada83 avatar jameslamping avatar kaywilcox avatar kunxw avatar latenooker avatar leticialee avatar lizlarue avatar maggi-kelly avatar maoyab avatar marjah avatar mbjoseph avatar mcattau avatar michalaphillips avatar mpveldhuis avatar nabib avatar purpletreevole avatar sjgraves avatar sjmc avatar thqragapc avatar tresmont avatar vervis avatar vlecours avatar yokaddoura avatar

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di-neon-participants's Issues

Week 3 assignment - trouble setting the kernel

I don't know if this is the correct place to give a tip. Feel free to move this if not...
I noticed that some notebooks submitted still showed version 3.6.4. One of the things that maybe is not clear from the instructions (since it also took me a while to figure out), is that you have to run source activate p35 in the Terminal/command line before running python -m ipykernel install --user --name p35 --display-name "Python 3.5 NEON-RSDI" (assuming you already ran conda create โ€“n p35 python=3.5 anaconda following the set up instructions in the first week). I'm on a Mac by the way, the Windows commands are different.
This will then make sure that "Python 3.5 NEON-RSDI" in the dropdown menu when creating a new notebook sets 3.5.5.

(sorry - I forgot to update the title. I actually started this issue having this trouble. I solved it but thought it would be a good idea to share)

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