Aaron Meurer

@asmeurer
85 Followers
129 Following
123 Posts
Websiteasmeurer.com
GitHubgithub.com/asmeurer
Xtwitter.com/asmeurer
@b0rk There's two things. The contrast of text against the background, and highlighting. The best way to make the background clash free is to make it pure white or black. That will give the most options for text colors. For highlighting, you want a system that automatically changes the text color if the contrast is too low.
@djh @simon If they have an API you could do it yourself with an MCP server
@robinhouston Given the "only used once" constraint, I wonder if a simple recursive approach, starting with the equations that use division and multiplication, would work.
It's pretty rare that I check this site anymore, but it seems like Mona no longer loads all the posts in my home timeline (like there's posts I know exist that aren't showing up). Any idea what's up with that?
@b0rk don't know if this counts but I have run commands outside of git that accidentally wiped .git/

Have you ever been perplexed by NumPy's indexing rules? Can you explain what a[1:-1, ..., np.newaxis, 0] does?

I've written an extensive guide to NumPy indexing that goes over all the types of indices that you can use with NumPy arrays. https://quansight-labs.github.io/ndindex/indexing-guide/index.html

Guide to NumPy Indexing - ndindex documentation

@b0rk I created a script that backs up all my unstated changes and I aliased git reset--hard to call this script. https://github.com/asmeurer/dotfiles/blob/master/bin/git-backup.sh
dotfiles/bin/git-backup.sh at master · asmeurer/dotfiles

A collection of a bunch of my .files. Contribute to asmeurer/dotfiles development by creating an account on GitHub.

GitHub
cpython/Lib/inspect.py at b3af888342db12915f0cdaaacbdc61aadfb62eff · python/cpython

The Python programming language. Contribute to python/cpython development by creating an account on GitHub.

GitHub
Aaron Meurer on X

@gregeganSF Search has been broken in Preview for a long time. I recommend using Skim instead.

X (formerly Twitter)
Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem

The array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX. This standard will make it straightforward for array-consuming libraries, like scikit-learn and SciPy, to write code that uniformly supports all of these libraries. This will allow, for instance, running the same code on the CPU and GPU. This talk will covers the scope of the array API standard, supporting tooling which includes a library-independent test suite and compatibility layer, what work has been completed so far, and the plans going forward.

Speaker Deck