poetry | Python packaging and dependency management

When a project is specified only via pyproject.toml (i.e. no setup.{py,cfg} files), how can it be installed in editable mode via pip (i.e. python -m pip install -e .)?

I tried both setuptools and poetry for the build system, but neither worked:

Poetry has some stale dependencies because the use of develop = true packages. Poetry cannot figure out on its own that dependencies have been updated. How do I force Poetry to reinstall everything in its virtualenv to work around this issue?

I new to pandas. I have a dataset like this one:

I`m using python poetry(https://python-poetry.org/) for dependency management in my project.

Though when I`m running poetry install, its giving me below error.

I've had a million and one issues with Poetry recently.

I got it fully installed and working yesterday, but after a restart of my machine I'm back to having issues with it ;(

Is there anyway to have Poetry consistently recognised in my Terminal, even after reboot?

System Specs:

• Windows 10,
• Visual Studio Code,
• Bash - WSL Ubuntu CLI,
• Python 3.8.

Terminal:

Does it make sense to use Conda + Poetry for a Machine Learning project? Allow me to share my (novice) understanding and please correct or enlighten me:

As far as I understand, Conda and Poetry have different purposes but are largely redundant:

• Conda is primarily a environment manager (in fact not necessarily Python), but it can also manage packages and dependencies.
• Poetry is primarily a Python package manager (say, an upgrade of pip), but it can also create and manage Python environments (say, an upgrade of Pyenv).

My idea is to use both and compartmentalize their roles: let Conda be the environment manager and Poetry the package manager. My reasoning is that (it sounds like) Conda is best for managing environments and can be used for compiling and installing non-python packages, especially CUDA drivers (for GPU capability), while Poetry is more powerful than Conda as a Python package manager.

I've managed to make this work fairly easily by using Poetry within a Conda environment. The trick is to not use Poetry to manage the Python environment: I'm not using commands like poetry shell or poetry run, only poetry init, poetry install etc (after activating the Conda environment).

For full disclosure, my environment.yml file (for Conda) looks like this:

I just want the poetry equivalent of this:

I'm trying to update a piece of old code (a menu builder class). I've updated everything else but I'm stuck at a line that uses the each() function. I did read some of the previous threads but this particular instance is too complex for me to figure out how to change. Here it is:

I've read dozens of articles, blog posts, docs, and Q&A posts on this site on this issue, and I haven't found a solution.

My Python code in index.py is simple: