Cycle 5: Quantities with Array API support, Improved Support for Masks and Uncertainties #483
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…s and Uncertainties
| I note that the funding provides me with teaching relief, which is for one | ||
| semester of an academic year (where thus more than 1 day/week is spent on | ||
| astropy, while less time is spent when I teach). So far, the relevant | ||
| semesters have been July-December 2024 and January to June 2026. It may be |
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Do you mean 2025 here?
| semesters have been July-December 2024 and January to June 2026. It may be | |
| semesters have been July-December 2024 and January to June 2025. It may be |
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No, the dates are correct: from my perspective, I've been paid for a day/week for two academic years, 2024/5 and 2025/6, and for the first I did most work in 2024, and for the second I expect to do most work in the Spring (which is when I got/will get teaching relief...). I mentioned this mostly to clarify why this calendar year I've not quite done as much -- there is quite a bit waiting for term's end!
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Please include the remaining approved $36,000 from your Cycle 4 proposal in this one. I believe that would bring the total request to $90,000 for work done in FY25 and FY26. |
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@kelle - thanks! One sees the risks of having a (really nice) situation where as far as I'm concerned, I just get teaching relief and do astropy, while not having to think about finances at all... (like not knowing the state of the invoices... sorry!). I now updated the budget and performance part; hopefully it is clearer now! |
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I request continued partial buy-out from my professorship at UofT to be able
to work one day a week on projects that are too large for the time I can
otherwise commit for astropy. Specifically, I propose,
ndarray but any type of array, i.e., also dask, jax, etc.
classes can use arbitrary array classes.
and caching.
their correlations analytically (based on the uncertainties package).