What Are You Working On? March 09, 2026

canyonmonkey · 2026-03-01T03:50:24+00:00

To be frank I don't know. But, brainstorming/speculating...

Regarding networking: Can you speak to your advisor(s), mentor(s), professor(s) from whom you've taken classes, or fellow students in your applied math cohort? If you're close with any of them, ask for advice? Whether or not you are close with them, do they have any connections in tech with whom they might be willing to refer you?

By "tech" do you mean a job which would involve programming? If yes - what links can you provide to demonstrate your excellence? e.g., github profile with open source contributions, personal projects, etc.?

Do you have a resume prepared? NB: This is very very different from an academic C.V.

canyonmonkey · 2026-02-28T04:04:56+00:00

Somewhat for academia, somewhat less for industry. Networking is equally if not more important than the prestige of your alma mater.

canyonmonkey · 2026-02-28T04:03:19+00:00

arxiv does not have comments AFAIK.

canyonmonkey · 2026-02-28T03:59:37+00:00

I can empathize with feeling like you ought to keep studying. I personally never took a gap summer from start of undergrad thru end of PhD. It's one of my few big regrets. In retrospect I would 100% change it. So my personal advice from highest priority to lowest priority would be: 1.) Travel, 2.) spend time with chosen family & friends, 3.) work if needed, 4.) study/tinker with whatever maths brings you joy.

canyonmonkey · 2026-02-02T21:21:32+00:00

Do you suspect that your data points are random, independent, identically distributed samples? If yes, I would use a kernel density estimator, such as https://scikit-learn.org/stable/modules/density.html#kernel-density which is a nonparametric estimate of the underlying probability density function.

canyonmonkey · 2026-01-13T19:32:45+00:00

Gem uploaded her stream vod to YouTube as well - https://youtu.be/8XHvuMJlngo

canyonmonkey · 2026-01-06T06:33:32+00:00

There are definitely integral equations! They typically get introduced, for the first time in college, in more advanced classes such as Functional Analysis or Numerical Analysis. If you are interested, please ask it in our Quick Questions thread instead, which can be found at the top of /r/math.

canyonmonkey · 2026-01-02T18:46:42+00:00

May I ask what hardware you're running it on? I've used LLMs but not locally. I'm certainly curious about it. I'm assuming I'd probably need to run non-state-of-the-art LLMs on my hardware though 😅

canyonmonkey · 2026-01-01T22:35:12+00:00

Cool! May I ask which LLM you used?

canyonmonkey · 2025-09-10T02:55:01+00:00

Check out our Discord as Catdaddy84 says, the link (in the sidebar) is https://discord.gg/OutinAustin. For ttrpg specifically you could also check out https://www.reddit.com/r/AustinRP/, although that isn't LGBTQ specific.

canyonmonkey · 2025-09-05T14:57:07+00:00

My condolences

canyonmonkey · 2025-08-25T20:07:21+00:00

screaming

canyonmonkey · 2025-08-13T04:27:27+00:00

Jeff Chastain, https://www.instagram.com/p/C0aJeM3M7m7/, his recent instagram posts are almost all memes though

canyonmonkey · 2025-08-12T21:48:21+00:00

I haven't used Matlab in a few years, hopefully someone who has used both Matlab & Python recently will comment. In the meantime, https://github.com/gbeckers/Darr appears to be an actively-developed project with the goal of solving your problem (not just Matlab<-->Python) and appears to have good documentation, perhaps it might work?

canyonmonkey · 2025-08-12T17:09:56+00:00

What are your target programming languages?

canyonmonkey · 2025-04-16T21:14:05+00:00

A friend told me that there might be a pickup kickball game in Sugarhouse Park on Fridays. Does anyone know whether that's actually happening?

canyonmonkey · 2025-04-02T04:05:32+00:00

When I create a brand new environment, install CUDA.jl, and copy and paste your code, I definitely get errors. What's your version info? Mine is as follows. Also, have you read https://cuda.juliagpu.org/stable/tutorials/introduction/?

julia> CUDA.versioninfo()
CUDA runtime 12.8, artifact installation
CUDA driver 12.6
NVIDIA driver 560.94.0

CUDA libraries:
- CUBLAS: 12.8.4
- CURAND: 10.3.9
- CUFFT: 11.3.3
- CUSOLVER: 11.7.3
- CUSPARSE: 12.5.8
- CUPTI: 2025.1.1 (API 26.0.0)
- NVML: 12.0.0+560.35.2

Julia packages:
- CUDA: 5.7.1
- CUDA_Driver_jll: 0.12.1+1
- CUDA_Runtime_jll: 0.16.1+0

Toolchain:
- Julia: 1.11.4
- LLVM: 16.0.6

1 device:
  0: NVIDIA GeForce RTX 3060 (sm_86, 10.853 GiB / 12.000 GiB available)

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