htop VS setuptools

Probably everyone knows about the "top" command. Htop is similar, but gives us a more user-friendly output. It shows processes using the most resources, how much available resources you have and who runs those processes. For more information, visit https://htop.dev/

determine which processes consume specific resources (in your particular case even a "5 minutes session of staring at htop" would do the trick.) (Alternatives: ps -ef, ps aux, top, glances ... )

When you see the laptop throttling, is htop or another monitoring program showing that the RAM is full, or is it only partly used?

I like htop to check system resources

try htop. It's already on Ubuntu, not sure about other flavors.

Program it in yourself: https://github.com/htop-dev/htop

htop is a colour-coded command-line system monitor, process viewer, and process manager. It shows a list of processes running on your computer ordered by CPU usage

To be fair, that seems to have been a 2 year warning:

https://github.com/pypa/setuptools/commit/3544de73b3662a27fa...

There was/is some discussion in setuptools about how to normalize the tarball (https://github.com/pypa/setuptools/issues/2133#issuecomment-...) coudl something similar be applied to Building Python itself ?

❯ yay -Sy python-setuptools python-jaraco.text ❯ pip show setuptools Name: setuptools Version: 67.7.0 Summary: Easily download, build, install, upgrade, and uninstall Python packages Home-page: https://github.com/pypa/setuptools Author: Python Packaging Authority Author-email: [email protected] License: Location: /usr/lib/python3.11/site-packages Requires: jaraco.text, more-itertools, ordered-set, packaging, platformdirs, tomli, validate-pyproject Required-by: Cerberus, fs, httpie, input-remapper, pecan, pycountry, python-lsp-server, reuse, setuptools-scm, zc.lockfile

Link: https://github.com/pypa/setuptools/issues/3772

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.

You could maybe make it a click Application, and use setuptools.

Not sure how advisable it is to depend on setup.py given the setuptools team has very clearly stated that they are not interested in supporting any cli commands anymore including setup.py install. Relavant PR