adaptive VS markdown-code-runner

Imagine you have a drawing with lots of hills and valleys, and you want to understand the shape of the landscape. Instead of measuring the height at every single point, Adaptive helps you measure the height at the most important points. It focuses on areas where the hills and valleys change a lot, so you can understand the drawing with fewer measurements.

Yes! Check it out at https://github.com/python-adaptive/adaptive/

Explore and star ⭐️ the repo on github.com/python-adaptive/adaptive, and check out the documentation at adaptive.readthedocs.io.

Also, Quatro will require a YAML annotation at the top of the file that will always be visible, e.g., a notebook on GitHub: https://github.com/python-adaptive/adaptive/blob/main/docs/source/tutorial/tutorial.DataSaver.md

Getting Python to calculate the equation for you shouldn't be a problem. The problem is that it may be having trouble figuring out which points to sample from. Using a uniformly spaced set of points won't necessarily result in the best looking curve, especially after interpolation. There is the adaptive package which does smart sampling of expensive functions. The idea is you give the function, and the adaptive library will learn the best x values to use and also return f(x).

Sure you can render it and export it as such, however, the point of markdown-code-runner is to have everything in place, in the same file.

Hey HN! I recently created a tool called markdown-code-runner (https://github.com/basnijholt/markdown-code-runner) that allows you to run code blocks in markdown files. It also supports hidden code blocks in Markdown comments, such that the code is hidden and only the output is shown. It supports multiple languages and can be used to test code snippets in documentation or tutorials. I think it's a great tool for developers and technical writers and I'm excited to share it with the community. Let me know what you think!