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Comment by gjvc | Hacker News Reader

(re)learn the tooling first; especially virtual environments [1], python 3 features. Wow at f-strings, smile at structural matching, enjoy the feel of tools like PyCharm.

Find a project to start from scratch, or find one to which to contribute. Read as much Python 3 code as you can to get your neurons firing.

[1] stick to venv, pip install, and pip freeze (time spent down the rabbit hole of packaging is time not spent actually coding)

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re: virtual environments - Getting back to learning Python myself, started with `Pipenv`, but recently stumbled across Poetry. Recommendations on one vs the other?

Definitely poetry; pipenv is not actively maintained and poetry is it's spiritual successor.

Definitely not, pdm is better behaved and less prone to random breaking changes

Poetry. Pipenv has a very bad reputation and most new projects that needs a more robust tooling than a simple “requirements.txt” use it.

This is also confirmed by my own experience.

Poetry is not stable at all. pip-tools all the way, if not…pdm please

I've tried both and actually prefer PDM the most by far

There is also: https://github.com/mitsuhiko/rye

Poetry is the way to go.

I'm a pyenv + virtualenv person and that's worked well for many years. But it sounds like I'll need to have ChatGPT explain Poetry to me...

https://fathomtech.io/blog/python-environments-with-pyenv-an...

Find the "just right" packaging system will get someone nerdsniped, you can do that. Or you can do the commands below and get something running in 20 seconds using the built in tools. Nerdsnipe yourself later as an exercise.

    python -m venv myenv.env
    source myenv.env/bin/activate
    pip install -U pip setuptools wheel
    pip install ipython
    ipython<return> now repl away!

the ".venv/bin/activate" script is rarely useful outside blog posts. Instead, just have a "bin/run-main" script set PYTHONPATH to point to the source files in your project, then call '.venv/bin/python3 src/python/some/where/file/name.py "${@}"' to run it. YMMV. HAND. IANAL.

Unless I'm making a "project" that I want to eventually package into an application or library, I prefer to just use pyenv with venv. Pyenv lets me pick my Python interpreter which I then use in conjunction with venv to create a virtual environment. For example, creating a venv with Python 3.9:

    pyenv local 3.9
    python -m venv my-env
    source my-env/bin/activate
    pip install [whatever I need]

Jinx you owe me a coke.

Funny that we both formatted the commands and everything xD

And we joined at nearly the same time, have a similar HN "score" and have a similarly dorky handle. We complete us.

Personally, I like Poetry over pipenv, but preferences will vary. There are some other alternatives currently fighting for mindshare, too. It will be interesting to see where the dust settles.

Thanks for the input everyone. Clearly Python needs more tools lol

Thanks. Any examples of Python 3 code worth looking at?

Don't know if its worth looking at, but you can look at my code: https://github.com/Vrroom/vectorrvnn :)

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