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 |
| Tags | cloud, big-data, data-analysis, gis, hpc-getting-started, slurm, git, anaconda, python |
| Skill Level | Beginner, Intermediate |
| 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 | |
| Domain | ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast |