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1:58 PM
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Some principal component analysis fun...
 
2:40 PM
Pretty fun gif at the end of this answer IMO mathematica.stackexchange.com/questions/246358/…
 
:)
 
Makes me feel like I'm in Enemy of the State or something
Tracking down Jason Bourne on a mountainside somewhere
 
3:01 PM
Heh heh :)
 
3:44 PM
@CarlLange Very nice gif! Many (most?) environmental summary statistics are scale dependent so why not plot the percent of slopes over 15% by the resolution? That won't tell one what resolution to use but at least emphasize that the resolution also needs to be stated in a contract.
 
4:06 PM
@JimB indeed, great idea and great point. I will do that when I get home!
 
@CarlLange. In short, it depends on the size and kind of the yardstick you use. I deal with folks who want to estimate "percent of area occupied by a species". But that depends on the size, shape, and orientation of the sites surveyed. (Not to mention temporal changes.)
 
 
1 hour later…
5:22 PM
posted on May 20, 2021 by Stephen Wolfram

Look What We Made in Five Months! It’s hard to believe we’ve been doing this for 35 years, building a taller and taller tower of ideas and technology that allow us to reach ever further. In earlier times we used to release the results of efforts only every few years. But in recent times we’ve started doing incremental (“.1”) releases that deliver our latest R&D achievements—both fully fle

 
 
2 hours later…
6:54 PM
Well, v12.3 is now out for me too, I guess it's public...
 
7:39 PM
Same
 
the prerelease had a separate macOS-ARM build available, can anyone report if they're seeing that for the release downloads?
 
 
2 hours later…
9:33 PM
Awesome update! I do a lot of Python development these days and there’s nothing in the Python ecosystem that I find even remotely as interesting as these updates. Truly great.
 
@kirkus not at the moment, but it is planned for 12.3.1
 
10:10 PM
@ilian great, thanks for the update
 
11:09 PM
Given a (simple but large number of terms) polynomial in a few dozen variables, is Replace[poly, Power[x_, _] -> x, {2}] the quickest way to set all exponents to one, or is there something faster (i.e., an internal function or some such means)?
 

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