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Bootstrap statsmodelsNo features have been listed yet.
Based on our record, Bootstrap seems to be a lot more popular than statsmodels. While we know about 364 links to Bootstrap, 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.
Next, we will set up the frontend part of our real time chat app using Vue 3 and Bootstrap. - Source: dev.to / 3 months ago
Not in the so distant past, when Bootstrapped themes were becoming the face of the Internet, a new framework came to town — TailwindCSS. The smart thing they did was introduced the framework with a few brilliant template and a lot of styled components. I bought the initial copy and does a lot of people. Those templates, TailwindUI.com (now TailwindCSS.com/plus)[1] became the gradien-y, dark-ish, glow-y design you... - Source: Hacker News / 5 months ago
This will show the posts passed from the controller in a row of cards. Please notice that you are linking to Bootstrap’s CDN for easy styling. If there are no posts, a message on a card saying that there are no posts will be shown. - Source: dev.to / 6 months ago
Yeah, good point. It's kinda common to have a big footer. Examples: https://getbootstrap.com/, https://stake.us/ (casino) That way on desktop you could get away with a 50vh margin under the content and then another 50vh for the footer. - Source: Hacker News / 6 months ago
FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap. - Source: dev.to / 7 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
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
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Materialize CSS - A modern responsive front-end framework based on Material Design
python wiki - Component Libraries
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Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.
