339 karma · joined January 19, 2017
jostein at trondal dot no
https://m.youtube.com/results?sp=mAEA&search_query=futurama+...
Here is an example, 4 different dot sizes:
http://trondal.com/p1.pdf http://trondal.com/p2.pdf http://trondal.com/p3.pdf http://trondal.com/p4.pdf
You need to print them to see which one is suitable.
for a:
aabcdefgh
aabcdefgh
abacdefgh
abcadefgh
abcdaefgh
abcdeafgh
abcdefagh
abcdefgah
abcdefgha
If there is a problem with kerning for %a or a% pairs, it will stick out in this list.
See if you are able to define each element of your input data as a stochastic variable that you can sample from. Then make a function to generate a set of fixed value input data elements by sampling from the stochastic variables. Then run this many times to generate resulting basis vectors. Calculate relevant measures of variability from these vectors.
https://pythonhosted.org/uncertainties/
https://pypi.python.org/pypi/soerp
https://pypi.python.org/pypi/mcerp
This last one is one of my favorite Python libraries. My hunch is that it is highly underrated.
I am still looking for/consider implementing error propagation as probability distributions where these are symbolic.
Instead of looking for which vector font that have been rasterised at this resolution, I would sooner look for the font in bitmap font collections like this:
https://github.com/ianhan/BitmapFonts
I wouldn't be surprised though if the font was created 'from scratch'
http://trondal.com/magisk/magic.html
At the time (or maybe a few years before), clicking this button would show a dropdown menu linking to a bunch of web pages. Now, the button doesn't work anymore and I think most of the links go to missing content.
https://oeis.org/search?q=jostein+trondal&language=english&g...