Srini retweetledi
Srini
97 posts

Srini retweetledi
Srini retweetledi

A macOS calculator clone in ~50 lines of #Python. No HTML/CSS/Javascript.
github.com/h2oai/nitro/bl…
#madewithnitro #100DaysOfCode
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Srini retweetledi

youtube.com/watch?v=Aiitmp… 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 H2O.ai! The session will cover how to get started with H2O Driverless AI with Chief Technology Officer, @ArnoCandel.
✅ Register: bit.ly/3PDirIm
There will be a rerun for APAC with live Q&A on August 25 at 1pm SGT!

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Srini retweetledi

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.
nitro.h2o.ai/cheatsheet/




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Srini retweetledi

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: github.com/h2oai/wave
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.
nitro.h2o.ai/wasm/
#Python #DataScience

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Srini retweetledi

📢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
Prithvi@CrunchingData
This turned out to be fun weekend hack. The Nitro runtime for Pyodide is ~13KB so far. Stupidly tiny. If all goes well, the interactive docs should run in-browser. After that, a playground with @code Monaco + @pyodide + Nitro should be another weekend hack. #Python #Coding
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Srini retweetledi

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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Srini retweetledi
Srini retweetledi

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 🐍
jumpingrivers.com/blog/displayin…
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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 nitro.h2o.ai/cli/ #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! wave.h2o.ai/blog/release-0… #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 @srini.x/deploy-your-wave-app-in-5-minutes-bd440d00917f" target="_blank" rel="nofollow noopener">medium.com/@srini.x/deplo…
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Make with H2O: Getting Started with Wave for the Wildfire Challenge twitter.com/i/broadcasts/1…
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