uv - The Next Evolution in Python Packages? Talk Python to Me Ep.453

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  • Опубліковано 20 сер 2024
  • Have you ever been wait around for pip to do its thing while installing packages or syncing a virtual environment or through some higher level tool such as pip-tools? Then you'll be very excited to hear about the tool just announced from Astral called uv. It's like pip, but 100x faster. Charlie Marsh from Ruff fame and founder of Astral is here to dive in. Let's go.
    ▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
    This video is the uncut, live recording of the Talk Python To Me podcast ( talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at talkpython.fm/....
    ▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
    Charlie Marsh on Twitter: / charliermarsh
    Charlie Marsh on Mastodon: hachyderm.io/@...
    ▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬
    Astral: astral.sh/
    uv: github.com/ast...
    Ruff: github.com/ast...
    Ruff Rules: docs.astral.sh...
    When "Everything" Becomes Too Much: The npm Package Chaos of 2024: socket.dev/blo...
    Talk Python's free Audio AI Course: training.talkp...
    Listen this episode on Talk Python: talkpython.fm/...
    Episode transcripts: talkpython.fm/...
    ▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
    Listen to the Talk Python To Me podcast at talkpython.fm Over 250 hours of Python courses at training.talkp... Follow us on on Mastodon. Michael: fosstodon.org/... & Talk Python fosstodon.org/...

КОМЕНТАРІ • 4

  • @joreilly
    @joreilly 8 днів тому

    Transitioning from Poetry. Some growing pains but uv is slick, I like how fast and easy it makes a venv. Great episode, this adds so much context.

  • @albertashabaaheebwa9111
    @albertashabaaheebwa9111 5 місяців тому +3

    Looking forward to what Charlie comes up with regarding testing. (pytest)

  • @akramsystems
    @akramsystems 5 місяців тому

    I would love an integration with using uv or any python dependency tool with a docker image. I find the process of setting up a python environment within a docker image to be quite cumbersome with each project requiring fine tuning to get all your packages happy to be running within a container.