how can I upgrade current python version with uv

[zffocussss]

the project was created by uv init.
suppose that my current python version is 3.12.1,how can it be upgrade to 3.12.4.I am not sure if I can make it by changing pyproject.toml or .python-version.or I just use uv to manage dependencies?

uv --version
uv 0.4.27 (36b729e92 2024-10-25)

[FishAlchemist]

Even though patch versions can cause compatibility issues, you can still switch the Python version for your virtual environment. Here's how: uv venv -p 3.12.4 --allow-existing

      --allow-existing                       Preserve any existing files or directories at the target path

However, I got this method from this comment (#8217 (comment)), so for more detailed information, you might need to refer to it.

[zffocussss]

Even though patch versions can cause compatibility issues, you can still switch the Python version for your virtual environment. Here's how: uv venv -p 3.12.4 --allow-existing

      --allow-existing                       Preserve any existing files or directories at the target path

However, I got this method from this comment (#8217 (comment)), so for more detailed information, you might need to refer to it.

what is the best practise,if the python version is required to be updated?I only use uv pip to manage packages now.
I am using conda as virtual env manager.when I want to change the python env,just issue conda activate {env}
uv is a tools to manage python packages and python environments,which can be recorded in file and committed in vcs.
how can I migrate from conda/venv projects to uv projects?

[samypr100]

what is the best practise,if the python version is required to be updated

If you want specificity at the patch level, I'd say update your .python-version to be explicit with 3.12.4

[FishAlchemist]

how can I migrate from conda/venv projects to uv projects?

@zffocussss If you only use conda for managing virtual environments and don't need to install any dependencies with conda or have a centralized need for managing virtual environments, then you can use uv venv to create virtual environments instead.
As for the document of uv pip: https://docs.astral.sh/uv/pip/
In essence, the choice to migrate is determined by your reliance on conda-specific features that are not offered by alternative tools.