Hi everyone,

I’m trying to raise awareness of UltraPlot — a succinct wrapper for Matplotlib. The project is aimed at scientists and researchers who need to create professional, publication-ready figures while keeping their code expressive and minimal.

UltraPlot provides tools that simplify many common but cumbersome plotting tasks, including:

- subplot sharing and layout management
- panel and grid organization
- automatic subplot tagging
- easy geo plotting and better GeoAxes handling
- and many other quality-of-life features for complex figures

If you regularly work with Matplotlib and want a cleaner, more structured plotting workflow, UltraPlot might be helpful.

Checkout our docs at https://ultraplot.readthedocs.io/ or star us on github: https://github.com/Ultraplot/UltraPlot/

cross-posted from: https://lemmy.world/post/39027950

I've been running OCR on the recent house epstein email dump. Making this available now that its close to finishing (20k/ 23k emails processed).

Processing script available here: https://codeberg.org/sillyhonu/Image_OCR_Processing_Epstein

I also put an analysis script in there if you want to use drive/ colab.

Currently finished files are available here:

https://files.catbox.moe/xrgts0.sqlite

Hi! I'm interested in becoming a data scientist, I saw that there's SQL tools like Workbench and DBeaver, and Spyder and Jupyter for Python, but what tools do you usually use? Any recommendations?