Databricks: How to Save Data Frames as CSV Files on Your Local Computer
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4 min readMay 30, 2019
When I work on Python projects dealing with large datasets, I usually use Spyder. The environment of Spyder is very simple; I can browse through working directories, maintain large code bases and review data frames I create. However, if I don’t subset the large data, I constantly face memory issues and struggle with very long computational time. For this reason, I…
