Constants: Difference between revisions
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Created page with " == The goal == Numpy provides plenty of constants. Questions to [mailto:davrot@uni-bremen.de David Rotermund] == [https://numpy.org/doc/stable/reference/constants.html The most important ones] == {| class="wikitable" |numpy.inf |IEEE 754 floating point representation of (positive) infinity. |- |numpy.nan |IEEE 754 floating point representation of Not a Number (NaN). |- |numpy.e |Euler’s constant, base of natural logarithms, Napier’s constant. e = 2.718281828459..." |
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Numpy provides plenty of constants. | Numpy provides plenty of constants. | ||
Latest revision as of 16:43, 17 October 2025
Numpy provides plenty of constants.
Questions to David Rotermund
The most important ones
| numpy.inf | IEEE 754 floating point representation of (positive) infinity. |
| numpy.nan | IEEE 754 floating point representation of Not a Number (NaN). |
| numpy.e | Euler’s constant, base of natural logarithms, Napier’s constant. e = 2.71828182845904523536028747135266249775724709369995… |
| numpy.newaxis | A convenient alias for None, useful for indexing arrays |
| numpy.pi | pi = 3.1415926535897932384626433… |
