Rachael Sexton

Results 83 comments of Rachael Sexton

After reading the julia docs a bit, I have a few notes: ```julia Base.convert(::Type{CompoundPeriod}, x::Period) = CompoundPeriod(Period[x]) ``` is afaict the way that multiple dispatch occurs in julia... i.e. we...

Holy type systems, bear man. How do you go so hard? :sweat_smile: I'm in awe. I will... need some time to read and digest the implications of all this, but,...

Finding exactly this bug on Arch. Just updated via `rustup` too.

I just had this error too, I feel your pain. That teaches me to copy from a PDF I guess. :sweat_smile: Could be helpful to lint/warn against certain nasty characters...

Just wanted to chime in here. The official Mypy docs lean toward using `typing.Literal[]` syntax for these kinds of cases, and you don't actually _need_ to support `typing.Union` at all......

Also needing this for conference/journal submissions. E.g. summary tables, larger figures (a la small-multiples), etc.

My primary workflow with latex lately, since overleaf is what my coworkers use and that means native git-integration, is to tag commits for, say, submissions to our review board or...

Thanks! Let me see here: k not set: ![image](https://github.com/paulbrodersen/netgraph/assets/12550525/813ae302-0704-4297-8a04-d87dcc8c7579) k=0.01 ![image](https://github.com/paulbrodersen/netgraph/assets/12550525/c5fe60a1-c9ca-4a97-83d5-f287807fdf16) k = 0.1 ![image](https://github.com/paulbrodersen/netgraph/assets/12550525/6fc44f0e-560f-4e0e-ae51-53aec352829a) k = 0.2 ![image](https://github.com/paulbrodersen/netgraph/assets/12550525/d3cbada7-aadd-4a7c-a464-a033e79d5e73) k = 0.5 ![image](https://github.com/paulbrodersen/netgraph/assets/12550525/1314fed5-605a-42a0-bd90-36c580622f50) Super interesting. setting `scale=(2,2)` k=0.1 looks great...

Tested, hopefully solved with PR #6 . Works on my end (try `pip install git+https://github.com/tbsexton/pandoc-latex-extensions.git@patch-1` to try it out on your side...since the version number wasn't changed, make sure to...

So I downloaded the exact notebook for your "quickstart", and I started a new environment with defaults via conda, and used `pip install awkward awkward-pandas ipykernel pyyaml` (with a subsequent...