
Enable dark mode · Issue #707 · numpy/numpy.org · GitHub
A great way to tip your toes into the water is to join a mentored sprint. In fact, I think some of those are coming up! Perhaps @InessaPawson knows when the next one is? There are a lot …
rfftn axes specification no longer works · Issue #13318 · …
Apr 12, 2019 · In the top two plots in the image below, you can see the deep water dispersion curve. If I transpose my data so the 'real' axis that I want to use is the last axis and use rfftn …
BUG: test failures on 32-bit platforms: i686 Linux and armv7l
Aug 26, 2023 · It's not water-tight, but that's basically impossible. These look like a fairly limited set of failures that we should fix up - but it's business as usual, not a major gap in our CI config …
Pickle is significantly slower than a memory copy #7544
Apr 13, 2016 · This blows any single digit performance that we get with python out the water. PS. I had to change the size of the benchmark to 6GB since my computer has 6 cores + …
Please consider adding abs_square · Issue #19321 · numpy/numpy …
Jun 23, 2021 · @NeilGirdhar - OK, renamed to square modulus in #13179 - and certainly too late to change the meaning of np.square (though I'd argue that if it had meant square modulus for …
NumPy logo refresh · Issue #37 · numpy/numpy.org - GitHub
Aug 27, 2019 · While we all use these projects daily and can keep the logos straight, it's just cubes and squiggles to most people who look at our laptop lids and water bottles.
DOC: Typed NumPY API usage · Issue #19875 - GitHub
Sep 14, 2021 · As a cretaceous fish out of water, I leave everything up to your discriminating judgement. Thanks for the prompt reply, Melissa. NumPy devs always the best devs. 😺
ImportError is misleading when importing an old multiarray in …
Feb 15, 2019 · Unless I'm missing something, yes. It's this: https://github.com/numpy/numpy/pull/12850/files Reports on this stuff are daily, I think we …
BUG: limit memory usage of python processes that uses Python
May 27, 2024 · I am setting the limit this high only because of memory spikes. These spikes can go up by a couple of GBs at a time which seems a bit off and dangerous. Also the memory …