Here's another web app built aiming towards non-coding lab chemists (my two cents towards this) - https://jhylin.github.io/Data_in_life_blog/posts/15_Molviz/Molviz.html
Quick features of the app:
- viewing and highlighting substructures in 2D compound images (for deployed version)
- viewing, saving and highlighting 2D images (for localhost version)
For interactive data table part: https://jhylin.github.io/Data_in_life_blog/posts/15_Molviz/itables.html
Big thanks to #rdkit, #datamol, #pyshiny, #itables, #pandas, #polars & #python.
#rdkit #datamol #pyshiny #itables #pandas #polars #python
If you like creating interactive web apps using shiny for #rstats, please send your #python friends to the TalkPython podcast, where Joe Cheng discusses Shiny for Python. #PyShiny. Via @Gshotwell
Starting a Shiny for Python app:
https://github.com/ngiangre/mccvshiny
So far, 1) Posit's documentation is very well written, 2) I really like VS Code as an IDE, 3)python3 -m pip install vs pip install, 4) python decorators are a simpler alternative to renderText() etc., 5) This is going to be a fun summer project!
Had a quick play with Shiny for Python #PyShiny to create simple web pages using just Python. It's pretty cool!
Shiny for Python is now generally available! π
With Shiny, you can create interactive web apps without HTML/CSS.
Now, you can combine Shiny's reactivity with #Python's vast resources for endless possibilities.
Check out new #PyShiny resources and learn more: https://posit.co/blog/shiny-for-python-is-now-generally-available/
π #CSV data is quick and fun, but real-world data is often stored in #databases.
Learn how to access #MySQL and #PostgreSQL in this #Shiny for #Python databases guide. Check our recent blog post by Dario Radecic.
#csv #databases #mysql #postgresql #shiny #python #rstats #pyshiny