As someone who was recently diagnosed and treated for Uveal Melanoma (get your annual eye exam and retinal scans!), and occasionally struggling with some intrusive thoughts about the potential for liver mets, reading about this treatment brought me so much joy. Bless Zhen Xu!
no symptoms. first identified the lesion a few years back and it hadn't changed over a few subsequent appointments. exam this year, it had grown a small amount 5mmx5mm to 6mmx8mm - still considered small, but the change was enough for the Drs to recommend treatment. I have been treated by Dr. Dan Gombos[1] at MD Anderson and received excellent care.
I have a relative with the same disease. They went to a an eye doctor because of visual artifacts. Turns out the tumor was so big it caused retinal detachment. Basically, most people get diagnosed at a very late stage because it's mostly asymptomatic.
Not having to deal with npm and a build step can remove a huge barrier to adoption for a large number of potential adopters, or people that just want some lightweight interactivity in an app.
That's what got me into Vue and I still use build less Vue all the time for tiny little sites that aren't worth setting up a whole CI process for. It's really lovely that it's an option.
Just like how easy jQuery was to get started with back in the day, but a whole framework
Yep, can confirm. I first used Vue in 2016 to write some simple calculators for my group's use in Eve Online. Without its "progressive" affordances, I don't think I would have gotten anything off the ground. I had no idea how to set up a build pipeline at that point, and I think Vue was new enough that there weren't many vue-specific tutorials so I'd have been learning from React tutorials and trying to figure out what to change with zero JS background.
a posteriori knowledge. the pelican isn't the point, it's just amusing. the point is that Simon has seen a correlation between this skill and and the model's general capabilities.
`rustworkx` is older and much more mature than PyGraphina. So at the moment, it includes a larger collection of graph algorithms. But the goal is to keep PyGraphina focused on specific applications like community detection and link prediction with a high-level API like NetworkX.
```
BREAKING CHANGE The following packages are removed from the Pyodide distribution because of the build issues. We will try to fix them in the future:
arro3-compute
arro3-core
arro3-io
Cartopy
duckdb
geopandas
...
polars
pyarrow
pygame-ce
pyproj
zarr
```
Bummer, looks like a lot of useful geo/data tools got removed from the Pyodide distribution recently. Being able to use some of these tools in a Worker in combination with R2 would unlock some powerful server-side workflows. I hope they can get added back. I'd love to adopt CF more widely for some of my projects, and seems like support for some of this stuff would make adoption by startups easier.
Not saying that it’s necessarily the right choice, but it opens up contributions to code to a broader user base and making those rapid iterations that tools like fastapi allow can be pretty important when proving out a concept early on.
Horses for courses… also, a Horizontal Pod Autoscaler and Load Balancer setup is pretty cheap.
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