Bibliographic Details
| Title: |
Fast Actual/Expected Data Processing. |
| Authors: |
Wesley, David (AUTHOR) |
| Source: |
Journal of Insurance Medicine. 2026, Vol. 53 Issue 1, p105-114. 10p. |
| Subject Terms: |
*ELECTRONIC data processing, *REAL-time computing, *BIG data, PYTHON programming language, DEATH rate |
| Abstract: |
A common problem with mortality analyses on company or registry data is that the processing time on large datasets can be an impediment to the interactive process of the analysis. The following paper delineates an approach using the Polars dataframe library and the programming language Python to speed up the processing time considerably. [ABSTRACT FROM AUTHOR] |
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| Database: |
Business Source Index |
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