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Joined 3 years ago
Cake day: July 6th, 2023
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thanks_shakey_snake@lemmy.cato
Today I Learned@lemmy.world•TIL there are three types of tears: basal, reflex, and psychic. Psychic tears, produced when we're sad, contain leucine enkephalin, a natural painkiller that helps us feel better.English
1·2 years agoImportant takeaway: Psychic tears are especially effective against Fighting and Poison types, but weak to Bug.
thanks_shakey_snake@lemmy.cato
Fediverse@lemmy.world•“Wherever you get your podcasts” is a radical statementEnglish
2·2 years agoIf those Joe Rogan fans could read, they would be very upset right now!
EDIT: Oh you know what? I just fact-checked myself and apparently that podcast is no longer Spotify-exclusive as of very recently. I hope you enjoyed the joke anyway.
thanks_shakey_snake@lemmy.cato
Fediverse@lemmy.world•One thing I hope to see in the Fediverse is people engaging with old contentEnglish
0·3 years agoLet’s all agree right now that we’re not going to be a community that necro-shames.
EDIT: JUST TO BE CLEAR I MEAN MAKING PEOPLE FEEL BAD FOR POSTING IN OLD THREADS AND ONLY THAT ONE USAGE OF THE TERM

Seriously, if you’re motivated enough to do this, you should give programming a try. Python or Ruby or Javascript are ideal for this kind of thing, and you can solve problems like this in a few lines of code… just look up “word frequency in Python” or whatever language for examples.
If you want to see what the next level of this kind of analysis looks like, watch a few videos about how Elasticsearch works… not so much so you can USE Elasticsearch (although you can, it’s free), but just to get a sense of how they approach problems like this: Like imagine instead of just counting word occurrences, you kept track of WHERE in the text the word was. You could still count the number of occurrences, but also find surrounding text and do a bunch of other interesting things too.