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

On a Lighter Note is the name of my podcast about collecting Zippos.

#3GoodThings

1. Generally positive comments on interactivity and pacing from students.
2. Cascadia 9.0 has been played over 300 times today.
3. Fall break begins!

Low key disappointed that we didn't get Idris Elba for a keynote speaker.

#3GoodThings

1. Finally delivered a gift that had been sitting around for weeks.
2. Canceled meeting gave me time to work.
3. First burn of the year!

@realcaseyrollins I'm just proposing a mask with built-in snacks. With enough funding, maybe we could also improve the design to pipe in a beverage.

@realcaseyrollins Perhaps I can interest you in our line of feed bag RespirEaters?

Hear me out: N95 masks infused with Doritos flavor powder.

@jalefkowit As a lark on International Talk Like a Pirate Day, I started listening to The Pirate History Podcast. It takes about six episodes before any actual piracy occurs, laying down a lot of background related to this. You might enjoy it.

#3GoodThings

1. Got my third class prepared in time.
2. Administration approved us to start practicing with live flames.
3. Inbox zero.

#Rstats's ggplot2 library is powerful and well-organized. There is a #Python library that uses the same "grammar of graphics".

https://towardsdatascience.com/how-to-use-ggplot2-in-python-74ab8adec129

To actually see the graph in the initial example, I had to slightly modify the code:

from plotnine import ggplot, geom_point, aes, stat_smooth, facet_wrap
from plotnine.data import mtcars

plot = (ggplot(mtcars, aes('wt', 'mpg', color='factor(gear)')) +
geom_point() +
stat_smooth(method='lm') +
facet_wrap('~gear'))

plot.save('p9test.png')

The fact that factor(gear) appears as a string gives me pause, but I can live with it.

#DataScience #DataVisualization

#3GoodThings

1. Won a doozy of a Go game (just past midnight, so technically today).
2. Surprise visit from out-of-town friends.
3. Have prepared 2.5 of tomorrow's 3 classes.