hatch VS clojupyter

Exciting stuff! I view Hatch [1] as becoming the Cargo for Python because it's already close and has an existing (and growing) user base but I can definitely see depending on this for resolution and potentially not even using pip after it becomes more stable.

[1]: https://hatch.pypa.io/latest/

I was inspired enough by the hatch sync idea that I created a PR to add that functionality to hatch: https://github.com/pypa/hatch/pull/1094

Another concept I learned was about build backends, an import step which is used to initialize and install any dependencies of the app you're packaging. Since the tutorial went with using Hatch that is also what I went with, though it didn't provide a lot of useful details especially because it didn't show how to add any dependencies, so I took a look at the docs which were very nice and simple to follow.

Try using hatch: https://hatch.pypa.io/latest/

I'm trying to learn Hatch, I currently use [Poetry](python-poetry.org/) to manage my dependencies, and while I'm overall happy with it, I really like the features I'm reading about with Hatch. I'm also working on learning CI pipelines & Dockerizing Python applications, and Hatch seems like a really useful tool to learn for this (and just as a general use tool).

Poetry 1.2 has been a pain. Which was the dev's fault though. Switching to something new while deprecating a related feature is just plain bad. I've been looking into modern alternatives like PDM and Hatch, but haven't used them (yet).

For example, when it comes to Python, one option is to use the same packaging system that a huge number of open-source libraries and tools are published with. You can use setuptools or Hatch to build a "packaged" version of your code, and publish it to either the public PyPi repository or an internal one that you set up. Then your users can use pip to install your package, automatically fetch its dependencies, and keep it up to date, just like any other Python module.

Don't forget the new PyPa tool on the block: Hatch.

See also: https://github.com/pypa/hatch

One of the strongest arguments. Though in fairness to Clojure, I would note that it also has a REPL and even a Jupyter integration: https://github.com/clojupyter/clojupyter

Some of the other posters have some great suggestions. If you're used Python in a Jupyter Notebook, you might enjoy doing the same in Clojure as well: https://github.com/clojupyter/clojupyter

I wouldn't want to work on data in C either... Ipython is a "prettified" for interactivity Python shell (I think this is what REPL means?) but to me it does not feel like the best development environment. Have you tried any "notebook" interfaces (they look a bit like Maple or Mathematica, with both code and results on one page). Jupyter is huge in Python, you can try it easily in Google Colab. There is a project for a clojure kernel for jupyter, but it looks not quite done: https://github.com/clojupyter/clojupyter. And finding the problem across languages when something breaks does not sound fun.