Srini
@srini27even
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Joined November 2015
ChatGPT o1-preview failed this relatively simple test, and our Enterprise h2oGPTe system nails it, much faster:
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One of my favorite conversations I ever had with LLMs. Not backing down, but getting funnier with each reply. Way better than replying "I cannot answer this" - loving it!
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A macOS calculator clone in ~50 lines of #Python. No HTML/CSS/Javascript. https://t.co/iCGr7OFSGc
#madewithnitro #100DaysOfCode
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https://t.co/1XKhbwzkDn Get a sneak preview of the new Wizard for H2O Driverless AI #automl built with @h2o_nitro @h2oai - avoid common pitfalls in #DataScience and #MachineLearning and get value out of #AI!
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Join us tomorrow for Make with https://t.co/AHCQLzjMBA! The session will cover how to get started with H2O Driverless AI with Chief Technology Officer, @ArnoCandel. ✅ Register: https://t.co/X2RK5pecXS There will be a rerun for APAC with live Q&A on August 25 at 1pm SGT!
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The Nitro docs include a cheatsheet now. Despite having only two functions, view() and box(), the cheatsheet has 100+ ways you can use them to produce variations in functionality and behavior - a kind of grammar for interactive user interfaces. https://t.co/H7qIbQQeEI
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H2O Wave is now a critical project on PyPI (based on downloads?). Thanks to everyone who made it happen: @unusual_code, @MichelleTanco, @aalencarv, @cyberbaggage, @srini27even, Marek, the @h2oai cloud team, and everyone who provided feedback and helped shape Wave.
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Here's H2O Drive - the file storage/sharing system for H2O AI Cloud, written by @srini27even. This is authored in 100% Python 🐍 using H2O Wave. No JavaScript, HTML, CSS used! Wave is open-source: https://t.co/K6SzGLK0yO 100+ widgets. #Python #DataScience #apps #webdev
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📢 H2O Nitro 0.11 is out! It's now possible to run Nitro apps entirely in-browser, thanks to @pyodide. You can embed Python code directly in HTML, or dynamically load external packages, wheel files, or modules at run time. https://t.co/tS0YACrT71
#Python #DataScience
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📢Nitro 0.11 will ship with Pyodide support this week! - Run Nitro apps entirely in-browser using Python-in-Wasm. - Embed Python code in HTML using "text/python" script tags. - Load external ".py" modules. - Tiny (~13KB) wheel. #Python #DataScience #Coding
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This is neat: @srini27even and @unusual_code made the H2O Cloud Drive app react to the system theme 😎 Seems like it's already possible with stock Wave and wave.emit(), which was a pleasant surprise. #madewithwave
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Following last week's introduction to @h2oai this week we're taking you through a tutorial of how to use H2O Wave to build a simple app to display #data in various forms including plots, tables and graphics using #python 🐍 https://t.co/LBRRqx74pG
jumpingrivers.com
In this post we will go through an example of how to build a simple web application to display data in various forms including plots, tables and graphics using H2O Wave, an easy web application...
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Dev on Nitro v0.10 is going at a breakneck pace. Shipping this week: - Make partial updates to the UI (ins, swap, del) - w/ low-latency. - Bookmarkable screen flows - Chromeless mode (@projectjupyter, here we come!) - Automatic busy spinner (animated 🚀!) #Python #DataScience
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Nitro v0.9 now has a CLI that lets you "nitro run" a URL pointing to a #Python file or gist on Github or anywhere else. Makes it easy to run examples: just copy/paste commands from the docs into your terminal https://t.co/R3n5BjLxYw
#DataScience #apps @h2oai
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One of the advantages of having a really fast programmer try out your new library is that you get bug reports really fast. #ShowerThoughts @ArnoCandel
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Rough prototype: "nitro run URL" fetches a .py file from a gist, sets up a local virtual env, downloads additional datasets or files, and finally launches the app. A dockerfile-like spec is required somewhere in the comments. No Docker involved. Just need #Python. 1/4
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Wave 0.22 is out! #Rstats web apps, data table enhancements (markdown support, in-row menus), a shiny new image annotator. Most exciting: the tour now lets you live-code in the browser, with autocomplete and code snippets! https://t.co/1k8p3sFec2
#Python #DataScience @h2oai
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A short guide on deploying H2O Wave apps to Heroku using Docker. The dockerfile could be useful for other cloud envs as well. Via Srini (our resident infrastructure/tooling mad scientist). #Python #DataScience @heroku @h2oai @srini27even
medium.com
On Heroku or anywhere you can run a docker container
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