Timeline for Basic software libraries for numerical analysis using modern programming languages?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Dec 2, 2022 at 16:52 | history | edited | Glorfindel | CC BY-SA 4.0 |
broken link fixed
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| Jul 19, 2012 at 2:17 | history | made wiki | Post Made Community Wiki by S. Carnahan♦ | ||
| Nov 30, 2010 at 20:55 | comment | added | John D. Cook | Note 2: NumPy and SciPy are implemented in C under the hood. You have a nice higher-level language interface in Python, but you also have the efficiency of C. | |
| Nov 30, 2010 at 20:54 | comment | added | John D. Cook | Note 1: NumPy is part of the larger SciPy library. I think SciPy is a better fit for the question than NumPy per se. | |
| Oct 13, 2010 at 12:01 | comment | added | user1504 | Seconded. I use numpy to do numerical functional integration. It's not the fastest thing in the world, but it's good enough for nontrivial tasks. | |
| Oct 13, 2010 at 9:39 | history | answered | Federico Poloni | CC BY-SA 2.5 |