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One of the underappreciated accomplishments of Obamacare was the end of those 1m caps. One of the ongoing failures in health care policy is out of control drug costs.


And I wouldn't be sure the polls were the key factor - big donors calling the shots by withholding funds may have been the deciding factor.


And are also not great for air pollution - they burn less gas per mile, but the engines are very dirty.


But they reduce congestion, which equals less total time on the road. Everyone gets better MPGs if there is less stop and go traffic.


Imagine stop and go traffic for a minute. Now imagine it with all those cars replaced by ninjas and dirtbikes and harleys. You can’t even hold a conversation when one of these things goes by. Imagine that being everything that goes by.


Well, you can't really commute on a Ninja or a Hayabusa. Dirtbike will get old fast too.

Maxi/midi scooters like Yamaha Majesty / X-MAX are the commuting vehicle of choice.


This is america though. Rather than a sensible commuting vehicle, the best selling vehicle is the f150. There is a subset of truck owners that will put a nut sack on the hitch and blow a cloud of black diesel exhaust at a car like a prius at a light.


It's not the WaPo, it’s the anonymous sources trying to send a message. Or maybe Amazon, which is really good at killing strong privacy bills.

There was very little about what she was holding out for, so it’s hard to say if it is unreasonable. Cantwell could very well be listening to her constituents - there has been a privacy and tech equity coalition watching her over the years.

Privacy bills come down to: 1. What data is covered? 2. Opt-in vs opt-out: is the default assumption my data will not be collected and shared, or that it will be unless I opt-out? 3. Enforcement - only the attorney general or can someone file a lawsuit? The article states that she wanted protection against forced arbitration which as her constituent I would agree with her on that. 4. Whether states can pass stronger laws at their level. California has a large delegation and a strong state law which is a consideration in the House.


McMorris Rodgers is also certifiable, not to put too fine a point on it


Your comment is too terse for me, I can't parse it. Both Cantwell and Rodgers are moderate politicians from opposing parties in the state of Washington. What certification are you referring to?


certifiable meaning insane, Rodgers is usually not considered moderate by any stretch


Yes, but she’s also not seeking re-election which gives her a little more freedom. Definitely an interesting choice of collaborators there though.


When did you last evaluate it? I have been using ruff for advent of code (low stakes project) — last year it still felt a little beta-ish, this year it seemed more ready for prime time.



Even fantasy stories about religion, can be quite dangerous, too.

https://en.m.wikipedia.org/wiki/The_Satanic_Verses


You can use markdown by adding the md suffix to your conf.py and myst_parser [1] to your sphinx extensions.

They are starting to work towards full sphinx functionality in myst markdown, too.

[1] https://myst-parser.readthedocs.io/en/latest/intro.html [1] https://executablebooks.org/en/latest/blog/2023/new-project-...


I can't recommend this enough! It's such a quality of life improvement to get the powerful dynamic documentation features of rST and Sphinx (and its many extensions), but in the more pleasant and familiar syntax of Markdown. I use MyST + Sphinx for all my project docs now.

This podcast episode is worth a listen for anyone interested in these tools and where they're headed: https://talkpython.fm/episodes/show/354/sphinx-myst-and-pyth...


Jupyter Notebook is a one-file-at-a-time interface.

Jupyter Lab lets you have multiple files/directories/terminal/csv files/json files/html pages/etc open at once in the same browser window.


I haven't upgraded to JupyterLab 4 because the plugins that I use to make jupyter lab IDE-like (jupyterlab-git, jupyterlab-vim, jupyterlab-lsp) need to all be stable on the new version first.

But, yeah, you can develop python software in Jupyterlab if that makes sense for you.


Rewriting little by little just means: each time you make a change, leave the source base at least a little better than you found it. Leave a few comments about the thing you reverse engineered. Delete a little dead code. Eventually you get the confidence to move from the lowest hanging fruit to deeper refactoring. You do it because that approach may be the best you can do with a rotten source base within your time and resource constraints,


Honestly, that sounds like making bad code even worse.


Apart from the fact they said making the code better each time?


LOL. Did you read the OP? Code is in PHP.


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