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Created: | May 16, 2024 at 5:43 p.m. | |
Last updated: | May 17, 2024 at 3:50 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 201 |
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Abstract
This computational notebook demonstrates how to generate a simple user source report on the CyberGIS-Jupyter for Water (CJW).
What you will learn:
Programmatically load CJW Group webpage in Python
Use BeatifulSoup library to extract html elements containing user info
Use HydroShare REST API client to retrieve user details
Load data into Pandas dataframe
Generate a simple report on "Users by Country" and "Institutions by Country"
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/![CC-BY](https://storage.googleapis.com/hydroshare-prod-static-media/static/img/cc-badges/CC-BY.04d377d96855.png)
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