fpl-dev

4 ms·

1. 1.▲
   by fpl-dev 2y ago

   Exactly that's a good example!
2. 2.▲
   by fpl-dev 2y ago

   The example from the article with the subtitle "Large-scale calcium imaging dataset with corresponding behavior and down-stream analysis" is a good example. We have brain imaging video that is acquired simultaneously with behavior
3. 3.▲
   by fpl-dev 2y ago

   ok, different libraries have different use cases, the type of data we work with absolutely necessitates dynamic visualization. You wouldn't view a video with imshow would you?
4. 4.▲
   by fpl-dev 2y ago

   We love imgui! Big thanks to the imgui devs, and Pascal Thomet who maintains the python bindings for imgui-bundle, and https://github.com/panxinmiao who made an Imgui Renderer for wgpu-py!
5. 5.▲
   by fpl-dev 2y ago

   In the browser only jupyter for now, you can use voila to make a server based application using jupyter: https://github.com/voila-dashboards/voila As Caitlin pointed out below pyodide is a future goal.
6. 6.▲
   by fpl-dev 2y ago

   > Using the strengths of the human vision system to get a rough idea of what the typical data looks like and the frequency and character of outliers isn't dumping the job of exploratory data analysis onto the reader, it's how t
7. 7.▲
   by fpl-dev 2y ago

   Hi, one of the other devs here. As the poster below pointed out what you're missing is that in this case we know that an eigendecomposition or PCA will be useful. However if you're working on matrix decomposition algorithms like u