Show HN: GS-Calc: a spreadsheet with Python (UDF) integration (citadel5.com) 2 points by jpiech 1y ago ↗ HN
[–] jpiech 1y ago ↗ GS-Calc can be helpful, for example, to:* process large (e.g. 4GB+) data sets in a spreadsheet;* load GB/32 million-row files in seconds and use them without any crashes;* load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns;* use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files;* use a set of statistical pivot data functions;* create and display all popular chart types with millions of data points instantly.Suggestions for improvements are welcome (and often implemented quite quickly).
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[ 7.6 ms ] story [ 32.0 ms ] thread* process large (e.g. 4GB+) data sets in a spreadsheet;
* load GB/32 million-row files in seconds and use them without any crashes;
* load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns;
* use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files;
* use a set of statistical pivot data functions;
* create and display all popular chart types with millions of data points instantly.
Suggestions for improvements are welcome (and often implemented quite quickly).