Plotly is an awesome interactive visualization library, however it can get pretty slow when a lot of data points are visualized (100 000+ datapoints). This library solves this by downsampling (aggregating) the data respective to the view and then plotting the aggregated points. When you interact with the plot (panning, zooming, ...), callbacks are used to aggregate data and update the figure.
GitHub

Removing loops by broadcasting
for speed up solving ODE with difference coupling!
@scientific_programming

Solving delay differential equations using numerical methods in Python
using ddeint and jitcdde

there is also jitcsim base on jitcdde.

Did you know #ChatGPT can summary articles for you?

Typst is a new markup-based typesetting system for the sciences.
https://typst.app/
docs
YouTube

I Suggest using
vscode + Copilot + latex workshop extention
for report preparation.

Mpi4Py
GitHub