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Based on our record, Ruby on Rails seems to be a lot more popular than statsmodels. While we know about 146 links to Ruby on Rails, we've tracked only 4 mentions of statsmodels. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From there, I went into a long phase of copy & paste: throw code at an LLM, ask it to analyze or rewrite, and stitch the result back in. It kind of worked. When reasoning models arrived, my confidence went up: wait a minute, wait threeโfreshly baked code appears. In Rails, that meant small adjustments and I was done. In Marten, I had to correct more, which made sense โ newer framework, less model knowledge. - Source: dev.to / 5 days ago
Ruby on Rails (developer-friendly, great for startups). - Source: dev.to / about 2 months ago
Working in a old RoR application I was asked to updgrade Postgresql from 9.5 up to the latest possible. The RoR application is deployed on premises via Docker Compose. - Source: dev.to / over 2 years ago
๐ Who Should Use HTMX? โ Django / Flask / Rails developers โ Express / Node.js backend lovers โ Fullstack devs who want LESS frontend headache โ Teams jo SSR + SEO ko priority dete hain. - Source: dev.to / 4 months ago
Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / 5 months ago
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post. Source: almost 3 years ago
Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: about 3 years ago
In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / about 4 years ago
Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: over 4 years ago
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