pyter

Thanks renardeinside, but I have tried the examples from the docs. These do not work, as I described in the issue above. I suppose the dbx docs are the problem...

I figured out why this happens: The code in sys_tray.py tries to find a file called "icon.png" to display an icon in the tray. However, this file is not being...

> Hi @pspeter (I'm not from dbx), to solve this problem we came up with 2 non-dbx alternatives: > > * init_script > > * custom docker image. > >...

No, I want to have my unpinned requirements in `setup.py` (or `pyproject.toml`), and my pinned requirements in a separate `requirements.txt`. The pinned requirements are generated automatically from the unpinned ones....

@copdips - setup.py (no need for requirements.in) > install_requires=["pandas>=1.0"] - requirements.txt, generated using `pip compile` > numpy==1.23.2 # via pandas pandas==1.2.5 # via project-name python-dateutil==2.8.2 # via pandas pytz==2022.2.1 #...

I don't want setup.py to read requirements.txt, they are separate and serve different functions. Please re-read my above comments and the pip-compile docs.

That should work I suppose, but it's a bit hacky. dbx should support a better/more commonly used solution imho.

Hi @renardeinside! Thanks for your response. I struggle to understand what the build command would do other than what `dbx deploy` already does. What I am looking for is a...

Hey @renardeinside, Ad 1): I agree that a docker environment is probably the ideal way to set up a robust Databricks dev environment. To be honest, I have little experience...

@spott > From what it sounds like, Databricks doesn't have a method of installing a set of specific package and versions for a job: wheels are provided and then pip...