Peter Drake, he/him, LFHCfS 🔥 @peterdrake@qoto.org

5-minute still life. #mastoart #drawing #beginner

This aged relatively well.

https://twitter.com/DrPeterDrake/status/891104077802643456

I've completed my term as department chair with more colleagues and more hair than I started with.

#winning

Another #rstats gotcha:

1:2 produces integers, but c(1, 2) produces doubles. They're not equal, but they're printed the same.

@data_science

Integer division in C/C++ and #Java rounds toward 0, but in #Python and #Rstats it rounds toward negative infinity, giving different results if an operand is negative. This also affects the % ("modulo" or "remainder") operator.

http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html

#Programming

One of the ingredients in "Edge Shave Gel Ultra Sensitive, Fragrance Free" is "fragrance".

#FacePalm #PersonalHygiene #Shaving

#Violet is a very nervous dog, quivering with stress.

Having spent decades ruining the word "Christian", the GOP has now besmirched the name "Dobbs".

#SubGenius

Here's a puzzle for you: from within the language, how do you list the sizes of the built-in datasets in #Rstats or #Python?
I'm new enough to R that I wasn't able to figure that one out.

Raw Python doesn't have built-in datasets, but sklearn does. (There are more in Seaborn and it's possible to load the R sets from Python.) Here's my first shot; the multiple special cases smell bad to me:

from sklearn import datasetsloaders = [f for f in dir(datasets) if f.startswith('load') and f != 'load_boston' and f != 'load_files' and not f.startswith('load_sample_image') and not f.startswith('load_svmlight_file')][(f[5:], len(eval('datasets.' + f + '().data'))) for f in loaders]

Output:

[('breast_cancer', 569), ('diabetes', 442), ('digits', 1797), ('iris', 150), ('linnerud', 20), ('wine', 178)]

My second pass is easier to read, but it squelches errors (gasp!) and still shows you the warning about the deprecated boston dataset:

from sklearn import datasets
names = []
sizes = []
for f in dir(datasets):
    try:
sizes.append(eval('len(datasets.' + f + '().data)'))
        names.append(f[5:])
    except:
        pass
print(list(zip(names, sizes)))

This is something of a weird reflective programming task in both languages, so neither can be blamed for inelegance.

@data_science

Lewis & Clark College in Portland, Oregon is hiring a tenure-track faculty member in the mathematical sciences.

https://apply.interfolio.com/108483

Please boost.

#jobs #math #mathematics #AcademicJobs

Need to get your mind off things with some absolutely brilliant physical comedy? The Goes Wrong Show has you covered.

https://www.youtube.com/show/SCSqb13iEnuGiMRyjlbf790g?sbp=GhoSGFVDU3FiMTNpRW51R2lNUnlqbGJmNzkwZw%253D%253D

Session 3 of my #FateCore space campaign.

Our heroes fought off a tentacled abomination from the deep and rescued a neurally-enslaved platoon of battlesuited mermaids. Back on the surface of the ice planet, the mermechs attempted to hide by burrowing angel-style into the snow, but they were spotted by the rescue helicopter. This footage fell into the hands of a powerful member of the Charybdis crime family, who sounds exactly like Werner Herzog and made our disgraced scientist an offer he couldn't refuse. After a long night of adventuring, the party has five minutes to get to the starting line for the next leg of the rally race.

Some lines:

"Did the octopus just ingest a whole shipping container of xanax?"

"We could always bankrob at the end of the race."

"Killing people is just, like, rescheduling their deaths."

#ttrpg