Opinion: one of the most important skills to have in this generation is data literacy. Data can be used to make nearly any point unless people know how to properly question metrics, usage, and source. As a follow on to that - an understanding of probability and the detriment of results oriented thinking.
Katie
_@katieannbaker.com
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ML & Data Engineering Consultant | Reader | Knitter
I write code for https://nostr.wine
Goodnight!


Watching cooking show + food delivery running late + worked through lunch today = literally drooling over these dishes they’re making 🤤
Cat photo of the day 😻


Anyone care to share their experiences/preferences for ASGI servers and frameworks?
I’m loving all of the digital art on nostr. One of coolest parts of the community right now.
Is it the weekend yet?
Websockets are everywhere this week. In addition to the work on nostr.wine, I spent most of today optimizing a push pattern integration that I like to use for distributed and highly available ML models (or really any high compute and/or long running task), which relies heavily on websockets, queues, and pub/sub. One of those “when it rains, it pours things”, but in a good way. Keeps my mind spinning on enhancements we can add to the filter. But now I need to find a good book to read before bed, or I’ll be dreaming about data movement all night.
Anyone have any tried and true ways to get their brains to stop at the end of the day?
Major cat lady vibes tonight 😻


Hello World