Submission information
Submission Number: 309
Submission ID: 4718
Submission UUID: af46f6f7-2830-4e2f-be0a-77f12a401356
Submission URI: /form/resource
Created: Mon, 08/12/2024 - 12:02
Completed: Mon, 08/12/2024 - 12:05
Changed: Fri, 03/14/2025 - 11:43
Remote IP address: 38.75.234.160
Submitted by: Kevin Worthington
Language: English
Is draft: No
Webform: Knowledge Base Resources
Approved: Yes
Title: Spatial Data Science in the Cloud (Alpine HPC) using Python
Category: Learning
Skill Level:
Beginner (304), Intermediate (305)
Description:
Spatial Data Science is a growing field across a wide range of industries and
disciplines. The open-source programming language Python has many libraries
that support spatial analysis, but what do you do when your computer is
unable to tackle the massive file sizes of high-resolution data and the
computing power required in your analysis?
There materials have been prepared to teach you spatial data science and how
to execute your analysis using a high-performance computer (HPC).
Link to Resource:
- Spatial Data Science in the Cloud (Alpine HPC) using Python Webpage (https://libguides.colostate.edu/coding-cookies/spatial_data_science_on_hpc)
Tags:
cloud (815), big-data (4), data-analysis (422), gis (275), hpc-getting-started (824), slurm (71), git (457), anaconda (535), python (69)
Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)
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