Install a Custom Python Environment (Kernel) on the CyberGIS-Jupyter for Water Platform
| Authors: | |
|---|---|
| Owners: | Zhiyu/Drew Li |
| Type: | Resource |
| Storage: | The size of this resource is 15.5 KB |
| Created: | Dec 02, 2019 at 11:03 p.m. |
| Last updated: | Jan 07, 2020 at 5:03 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 2073 |
| Downloads: | 49 |
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Abstract
User may want to set up a custom Python environment (kernel) and run notebooks with it on the CyberGIS-Jupyter for Water platform. This resource has 2 notebooks to demonstrate walk you through the steps.
install_custom_python_environment.ipynb --- install a custom Python env with user-defined libraries using conda, and set it as a Jupyter Kernel.
recover_custom_python_environment.ipynb --- after a container rebuild, user needs to reactivate a previously installed custom Python env.
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How to Cite
Li, Z. (., F. Lu, A. Padmanabhan, S. Wang (2020). Install a Custom Python Environment (Kernel) on the CyberGIS-Jupyter for Water Platform, HydroShare, http://www.hydroshare.org/resource/19d95d58b75a461bbdf2e6ccfed1bf5c
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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