The important difference is that you don’t need to import anything in order to quickly use list type. This wins in the majority of the cases, unless I’m building something that will be imported by multiple other modules and it really pays to be that explicit.
This, but, with DatabaseConnection being a singleton, and preventing multiple enter clauses.
You can ensure it’s a singleton by modifying how a new object is built, by overriding the new dunder method. If an instance exists, return that, otherwise create a new one.
That can’t be achieved due to dependency compatibility. What if you installed y==1.4, and froze it for a while, and then you install x==3.2, and it depends on y==1.5 or later?
pyproject.toml defines dependency restrictions, so it will be in accordance with that, but the lock file will change every time you add/remove dependencies. Naturally.
It’s worth noting that there are basically just 3 systems worth considering, maybe even just 2.
pip is usually part of the python distribution, so any lightweight project can be finished in 1-5 minutes with pip. It’s also quite widespread and the vast majority of publishers (if not all) target pip compatibility.
Poetry is a great project management framework and it deals with dependency management beautifully. If you’re doing any data engineering or backend development, for any project that has more than 1 dependency and 200 lines of code, then Poetry is probably the best tool to use. Poetry makes the whole mess with helper tools like pip-tools seem outdated.
Conda is for the crazy world of data science libraries where developers don’t bother with compatibility too much. Conda does it for them. And the users of those libraries can benefit from using conda.
I think the big competition is between poetry and pip. Maybe one day poetry will come as part of some Python distributions.
Sounds like you need poetry.
Or at least to track your dependencies, so that you can recreate your virtual environment.
On Linux, I’d just build my own Python binaries and make them available. But you can also use pyenv for the same thing if you’re ok with it.
Then, using poetry, I have different projects with isolated environments.