jbednar
commented
3 years ago Looks great to me! Thanks so much for the contribution. I made minor updates to the .yml and .ipynb, and now I can only think of a couple of possible improvements:
- Would it be worth using Datashader via Matplotlib to make the Datashader plots more consistent with the earlier Matplotlib plots, and to give them axis ticks and labels? https://datashader.org/getting_started/Interactivity.html#native-support-for-matplotlib shows how to do that, but it's entirely optional, since you already do have a plot that shows what the axes are.
- Maybe there could be one more markdown cell at the very end, drawing some conclusions? E.g. you could point out that it's easy to work with plots that require a very large number of points, if you bring in Datashader, or you could summarize some conclusions about what the function is telling us, or both.
Those are both optional; if you don't want to make those changes, I'm happy to merge as-is!
djfrancesco
I added a new candidate example, about the computation of Goldbach function with Numba, and its visualization with Datashader. Overall, this notebook only takes a few minutes to run on my laptop. This is a reduced version of a recent blog post. I thank @jbednar for making the proposition to make this post available at examples.pyviz.org. I hope I did not forget anything... Tell me whatever I can do to fix/improve it!