Liquid VS hydrogen

Liquid is a template language created by shopify. In my use case I use it for generate html that is almost similar looking but differs in data. So when iterating over my HTML, I need to preview the changes I made combined with my data.

Inside the blog directory, create an index.liquid file. This will be our blog’s homepage. Eleventy provides a number of options when selecting a template engine. For this project, we’ll use Liquid.

Templating engine: SSGs rely on templating engines to define the structure of web pages. These engines enable developers to create reusable templates and incorporate dynamic content. Popular templating engines include Liquid, Handlebars, Mustache, EJS, ERB, HAML, and Slim.

Assuming I understand the ask, I think my approach would be to have a trigger fire when a ticket's custom field is set to "add user to the application." That trigger would notify a webhook. That webhook would be set to the Organization API endpoint with a payload that uses liquid markup to add 1 to the existing Organization's value.

For example, their theme templates use Liquid, which is a html templating system for Ruby. Activemerchant also was released by Shopify, and it provides a interface to major payment providers like PayPal.

In the meantime, Liquid v4.0.4 has been released, and allows building a Jekyll site with the latest Ruby.

Liquid docs - https://shopify.github.io/liquid/

Then, let’s create the simplest template for our static Eleventy page. We’ll write it using Liquid, but since it’s so simple, it won’t take advantage of any useful templating tags for now. Let’s call it index.liquid:

Previously I have used Jekyll for blogging and it has served me well for simple blogs and static websites. Jekyll is a static site generator that relies on Markdown, Liquid, HTML, and CSS. Which means no JavaScript -- a Jamstack without the J. With GitHub Pages you can even host Jekyll sites directly from your repository.2

Hydrogen got an update to fix this issue, but it was never published on Pulsar's backend. You can install it with pulsar -p https://github.com/nteract/hydrogen.git -t v2.16.5

Folks who know Pulsar and Zed internals: which one of them is more likely to gain support for Atom packages? I find Hydrogen[1] invaluable as a data science scratchpad since it supports python/r/julia/etc under a common interface via jupyter, and have been unable to construct a comparable workflow in vscode or any other editor [using scripts as opposed to notebooks, which i find far too bloated].

[1]: https://github.com/nteract/hydrogen

Finally, newer Pulsar versions (from the master branch on the CI) allow you to install ppm and pulsar from the command-line. We also fixed some of the issues on installing a package directly from github - for example, you can run "pulsar -p https://github.com/nteract/hydrogen.git -t v2.16.5" to install hydrogen on tag v2.16.5 now (tested on Linux and Silicon mac). Package publication is an ongoing process - we fixed lots of issues of the first version, and now it's working for some people, but we are still aware that we have some bugs too... it's hard because we need to "reverse engineer" the old API :(

But with Hydrogen you could do that in a regular Python script without needing to create a notebook or think in terms of cells. There's an example of this in the Hydrogen readme: https://github.com/nteract/hydrogen#hydrogen-

I personally found Atom + Hydrogen [0] to be the most productive interactive Python environment I've ever used. I really want to see VSCode adopt some way to run a Jupyter kernel for a Python file (with a notebook UI) and have rich results in line with the code (i.e. not a terminal output off to the right side of the screen).

[0] https://github.com/nteract/hydrogen