Axel Dürkop

Hi Mohamed, I love Django for its "batteries included" philosophy, meaning that you get the backend for free and a lot of stuff for database abstraction. But often you just need some kind of webserver backend logic and Django is oversized for that purpose. In that case I go with Flask which has a modular approach so that you need to gather the parts yourself that you need. If you come from a Python background I think there is a lot to explore with Python for the web and it very well into the data science landscape.

Me and a lot of colleagues have done documentation collaboratively with https://hackmd.io/ which also comes as an open source fork as https://hedgedoc.org/. The first has commenting function, the latter hasn't. Both make it easy to do doc sprints synchronously which means everybody is on the phone at the same time and write down documentation. As you do this with Markdown you can use your writing with https://squidfunk.github.io/mkdocs-material/ e.g. which is a static site generator running on Python and build beautiful documentation from Markdown files. If you want to build with https://gohugo.io/ I recommend https://www.docsy.dev/ theme.

We do scholarly writing and documentation with GitLab which we host on-premise. GitHub and GitLab come with sophisticated workflows for commenting and quality assurance if you learn to branch and merge which is for a lot of folks a steep learning curve. To onboard colleagues I recommend starting with HedgeDoc first and then migrate to more advanced workflows with Git(Lab|Hub).

I want to build learning paths in a simple way and visualize them, the way Neo4j or D3.js do it. Example: I have a set of learning resources that can be connected depending on certain criteria. Thus, it would be possible for learners to start from various starting points and have learning paths depending on this starting point.

Following this, I need two things: first, a UI that lets me connect entries from a database so that a linear view, like a path, comes out. And second, a bird's eye view on the various paths like a force-directed graph that stems from the linear connections I made.