Want to turn your #Jupyter notebooks into dashboards—without JavaScript or CSS? Check out my new blog post on building a pure Python data app with @solara_dev. Filter data and visualize it on a map, all from @ProjectJupyter
👉 https://t.co/D1dEXqAki3
#DataScience#Python
🎉 NEW Cookbook: @MistralAI and @solara_dev
- Check out this cookbook on how to create a chatbot with Solara to talk to your PDFs with Mistral AI models: https://t.co/kXNEjHOfJ1
Alternatively, you can modify the code directly in @py_cafe : https://t.co/dWD8pRbTNw
Big shoutout to @maartenbreddels and @sophiamyang for all the help with this cookbook! 😊
My PR to @solara_dev was merged in the newly released version 1.40.0 and you can now use InputTextArea component. Long time needed (it will simplify so much my previous codes)...
Here are the slides I presented at @PyDataParis :
https://t.co/a994DjItwz
I talked about GraphRAG with @lancedb (vectorDB) @kuzudb (graphDB) llamacpp Outlines by @dottxtai (structured outputs) and @solara_dev (visualization)
Learn how to build high-quality web applications in pure Python.
@solara_dev allows you to go from a simple dashboard to a large solid application while keeping a maintainable codebase.
I'll be talking about this at @PyDataParis
Does your Python app do its own state management?
In Solara it is easy to connect your own state library to a component in a safe way.
See this example to learn how to do that:
https://t.co/xUte7mkoGq
I just recorded a tutorial on how to build a @py_cafe web app with #anywidget. Learn how to create a 3D-viewer for #numpy arrays using @threejs. Best viewed full-screen with sound on 🔊
By popular demand: How much monomer/dimer/tetramer are formed at steady-state given the two kds and the total concentration of protomer? 🧐
https://t.co/gSY31dJvBF
By popular demand: How much monomer/dimer/tetramer are formed at steady-state given the two kds and the total concentration of protomer? 🧐
https://t.co/gSY31dJvBF