@itsbenigni @raphaelsrty Very cool! I’m thinking of writing some ML stuff in Rust too, but I’m not sure where to start. Do you recommend some stuff to read?
https://t.co/SRpNtDGwmS is ready for me to share: it's a canvas for writing SQL. It's free and fully open source. I made what I wished I had all these years of churning out SQL. Enjoy!
There is a pro for AI features and such, but it's still early days.
Here's a little write-up about how accessing (for free) a training set for bike sharing forecasting, using data I'm scrapping from >50 cities every 15min: https://t.co/RSjpCO2lkd
Thanks @_Blef! Indeed, lea is a modest alternative as re-implementing @getdbt in a minimalist way with some tweaks 🔧. We use it everyday at @carbonfact to measure the footprint of fashion brands 👖
Here's the mentioned article: https://t.co/RDdIFGmlUZ
Hello data Twitter/X. @carbonfact is looking for a freelance data scientist. Come help us cut carbon by parsing heterogeneous data into our internal data model 🪴
More info here: https://t.co/6Eovy9QHBE
@JulienBlanchon@rugbyworldcup@Olympics That’s one possible application, yes. But I think there’s also a lot of valuable data analysis to do, rather than forecasting.
I'm now scrapping bike sharing figures every 10 minutes for all cities in France. Will ask my students to study the impact of @rugbyworldcup and @Olympics. See https://t.co/k0mhFHKtXn 🚲📊