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Consider writing this as Jupyter notebooks instead of JavaScript #4
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Ah, nice idea. Related to #2. Will explore. 👍 |
Yup, but unlike Unicode which only lets you sort of reproduce some math notation, you can use LaTeX with Jupyter which is going to be much more recognizable when comparing to papers that also commonly use LaTeX. It also still supports Markdown so most of what you've written so far can just be transferred over. Finally I would say that it's probably easier to follow maths in Python compared to JavaScript. |
I vote for keeping JS. It's very easy to comprehend and the bar to entry is very low. I didn't know Jupyter before, but looking at that landing page I still don't see it's purpose. For me I would lose interest in this cool project. |
@kowdermeister I have a few points to make about your statement, but first look at an example of what this could look like using Jupyter: https://github.com/blixt/math-as-code/blob/master/Jupyter.ipynb I think there are clear benefits, the most important one being that the code is being evaluated on the page so you can guarantee that the output matches (which would have prevented a few bug fixes that have already been made). Another benefit is that you get accurate and easily changeable formatting of math notation, both inline and in blocks, that does not require external images. Anyway, back to my points.
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Having things run in-line would indeed have solved some of the bugs, but I am going to keep it as JavaScript for a few reasons:
I definitely want to solve the image quality, and also would like to automate them via LaTeX somehow. |
There's no explanation on Jupyter's site what it is or what it is good for. (I seen it for the first time and totally misunderstood it). Thanks for your explanation now I get it. https://github.com/blixt/math-as-code/blob/master/Jupyter.ipynb JS in my opinion is better, because it resembles more to a C style language which I believe is more popular in total. I also think a guide like this is targeting beginners who are more likely to be familiar with JS thanks to the low entry bar. This project was one of my wishes in understanding wikipedia pages. I asked it on Quora if there's a site which explains math notation and I was calmed down that it's not possible, because math concepts are deep :) |
@mattdesl I understand. Maybe there is something we can do to improve the guide for JavaScript, for example by creating a script that evaluates README.md and makes http://jam3.github.io/math-as-code/ an interactive version. I also wonder if for LaTeX there is a service that renders a LaTeX string into a math image, which could be used instead of hosting the images on GitHub? |
I think mathjax and pandoc should get you there. Mathjax uses LaTeX math notation and can be rendered to svg (say, for GitHub), and Pandoc can output its markdown (+mathjax) contents to HTML (for an interactive page). I think they would work pretty well in this case, though some tooling for the build probably needs to be written. Example# Section 1
Equation 1:
$$I = \int \rho R^{2} dV$$ See Also |
For the fun of it, I created http://tex.la/ which creates SVGs on the fly: Don't count on it being super scalable right now, but I might make sure that it is if people think it's useful. |
Great stuff. I'll use that for the time being instead of this one, and will start moving things over to SVG. |
I doubt GitHub supports it but theoretically jupyter notebooks can be written in JavaScript, since the rename from ipython to jupyter it's a more general focus on getting any language support the kernel and REPL protocol, see https://www.npmjs.com/package/ijs |
Hmm, sadly it is rendering super small as SVG. Relevant LaTeX: f(x)=
\begin{cases}
\frac{x^2-x}{x},& \text{if } x\geq 1\\
0, & \text{otherwise}
\end{cases} EDIT: Actually, it seems like the editor has a SVG select box I hadn't noticed earlier. It is producing nice results. |
Ah yes, you need to set a height or width (see the example at http://tex.la/). I'm going to try to set a proper default scale for the output at some point, but you can also just put an <img height="50" src="http://tex.la/f(x)%3D%5Cbegin%7Bcases%7D%5Cfrac%7Bx%5E2-x%7D%7Bx%7D%2C%26%20%5Ctext%7Bif%20%7D%20x%5Cgeq%201%5C%5C0%2C%20%26%20%5Ctext%7Botherwise%7D%20%5Cend%7Bcases%7D"> gives: |
I fixed the height issue. I don't think it's perfect, but you can now use Markdown image syntax: ![](http://tex.la/A%20%3D%20%5Cbegin%7Bvmatrix%7Da%20%26%20b%20%26%20c%20%26%20d%5C%5Ce%20%26%20f%20%26%20g%20%26%20h%5C%5Ci%20%26%20j%20%26%20k%20%26%20l%5C%5Cm%20%26%20n%20%26%20o%20%26%20p%5Cend%7Bvmatrix%7D) |
If the purpose of this guide is to bridge the gap between developers and mathematicians via familiarity, it should be done in a programming language the rest of us are already familiar with, which is not designed to imitate the math that we're trying to disambiguate by pairing it up with traditional code. I've got ~40 programming languages on my github right now, and I've never even heard of Jupyter. It may make a sensible second case, but it should not replace something that has a legitimate argument as possibly programming's current lingua franca. |
@StoneCypher: I think the argument here is no longer about whether to use Jupyter (which is just a good editor supported by GitHub for Markdown with LaTeX support + interactive shell for Python, by the way – and I'm sure you've worked with Python). I think we should just discuss how to improve the process of updating the guide, and its appearance (for example: LaTeX in the guide vs. embedded images, and auto-evaluated code to avoid duplication of effort and bugs). |
I don't generally use python actually. I spoke other languages in that space before I was aware of it, so there has been no reason for me to take it on, and meaningful whitespace weirds me out. However, now that you've pointed it out, you're right, that does deflate my commonality comment. I am an outlier there. |
@blixt it looks like your server is down? Or something? For now I'm going to stick with linking directly to SVG URLs from this site since it seems very widely used: Ideally I would rather commit the SVGs so that the images can never break, but there seems to be a bug/limitation in GitHub Markdown that doesn't render relative SVGs. See here and the broken branch here. I'm going to include the raw LaTeX for each image (currently in Markdown comments). Perhaps later we can build tooling to improve this workflow. |
@mattdesl Yeah I made a typo in the last deploy, my bad. :) Sounds fair, but I would still recommend hotlinking to that service over hosting it in the repo, because GitHub will rehost the images for you on their CDN anyway. This means you can easily update the image from your Markdown, instead of having the additional burden of adding/removing/renaming files. |
Hm yup, I did notice some cut-off as well. I think the values in the The tex.la site is on Google App Engine which means it's very scalable and has great SLAs on uptime, but I wouldn't recommend relying on it right now because the code is just 24 hours old. :) I think the main goal should be to just get rid of manual work around updating the LaTeX (less work = more contributions), so adding in a pre-commit hook that replaces |
@blixt I'd like to report a bug on https://github.com/blixt/math-as-code/blob/master/Jupyter.ipynb That's what it looks like on Firefox 42 on Windows 7. |
@daveloyall Huh, that's funky. May want to report that bug to GitHub, along with your browser. I'm not sure where those bugs go, but here's the announcement post: https://github.com/blog/1995-github-jupyter-notebooks-3 Maybe @sshirokov can help out (not sure if mentioning here will summon him)? |
It's a known Firefox-only issue we're working to resolve 😿 Sorry about that.
It will 😜
It should render just fine regardless of the input language, we're not doing the evaluation, since it's already baked into the notebook, just the rendering. |
@sshirokov Just noticed that it's all spelled out in JSON, that's awesome. Correction to the above, |
Oh man. I wish I'd known tex.la existed before I'd written this: https://github.com/rreusser/gulp-markdown-equations It's just a build script, so you can do anything you want with it, including swapping it out for a more intelligent parser or rendering to SVG. It's worked great so far. Well, For the most part. (See: npm/newww#1107 ) Actually I was originally basically gonna create tex.la (which looks great, btw), but didn't love the idea of being on the hook for hosting a domain and running a server for the rest of my life in order to ensure no broken links. The issue now is threading the needle between the github.com and npmjs.com markdown html sanitizers. (current ideal solution: use SVG, then proxy to cdn.rawgit.com since the goofy security restrictions you've already referenced prevent relative SVG paths, but then we're back to depending upon someone's random external service.) |
Srsly though, why do I always find this stuff after writing it. |
@rreusser actually the thing you made is pretty awesome |
@StoneCypher Thanks! It has some issues, but it's pretty modular, so shouldn't be the worst to either fix or substitute the buggy parts. Used it in places like this and have had good luck so far. Way easier than LaTeXiT at any rate! |
Given an installed miniconda or anaconda, this should install a Jupyter Notebook, Node, NPM, and the IJavascript Jupyter kernel: conda install nodejs notebook
npm install -g ijavascript
ijsinstall Jupyter Notebook supports LaTeX (with MathJax) in markdown: This is a sigma $\sigma$ If you create a /Dockerfile and a Jupyter notebook, you can launch a cloud instance with https://mybinder.org/ FROM jupyter/base-notebook
RUN conda install -y nodejs notebook
RUN npm install -g ijavascript
RUN ijsinstall https://github.com/jupyter/docker-stacks/blob/master/base-notebook/Dockerfile ... LyX is great for editing LaTeX, but not so great for syntax highlighting executable code samples: |
BinderHub ( https://mybinder.org ) builds containers with repo2docker; which works with a number of different types of config files, including Dockerfile: http://repo2docker.readthedocs.io/en/latest/usage.html#preparing-your-repository |
GitHub supports executing and rendering Jupyter notebooks which would be much more maintainable and expressive (especially since you can use
numpy
to execute all kinds of math operations out of the box).Another big benefit is that you can have GitHub render math notations for you instead of including lots of images in the repo (+ you get retina support!).
Example on GitHub using Jupyter:
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