Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Fast Actual/Expected Data Processing. |
| Συγγραφείς: |
Wesley, David (AUTHOR) |
| Πηγή: |
Journal of Insurance Medicine. 2026, Vol. 53 Issue 1, p105-114. 10p. |
| Θεματικοί όροι: |
*Electronic data processing, *Real-time computing, *Big data, Python programming language, Death rate |
| Περίληψη: |
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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| Βάση Δεδομένων: |
Business Source Index |