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youtube_transcripts/357-jwst.vtt

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@@ -1249,7 +1249,7 @@ Hubble actually has instrumentation
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that looks at UV, visible, and then near infrared.
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that looks at uv, visible, and then near infrared.
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youtube_transcripts/453-uv-the-next-evolution-in-python-packages.vtt

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And the project just grew over time.
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And then I knew that when we were working on UV,
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And then I knew that when we were working on uv,
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there would just be a lot more of an expectation
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roadmap and our open-source tooling.
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So that's Ruff, now UV, which we'll talk about in a bit.
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So that's Ruff, now uv, which we'll talk about in a bit.
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And these are MIT-licensed, fully open-source tools
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And uv is kind of the first milestone in that.
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So UV, in its current form, it's designed
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So uv, in its current form, it's designed
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as a sort of drop-in alternative to pip, pip-tools.
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it should be very, very fast.
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And UV, it's really fast.
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And uv, it's really fast.
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In particular, there's a benchmarks.md in here,
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because--
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it's a little bit complicated, but pip compile and pip and UV,
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it's a little bit complicated, but pip compile and pip and uv,
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they're really designed to only work on the current Python
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Yep.
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Similar for UV, pip, and then stuff.
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Similar for uv, pip, and then stuff.
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What I find I do for most of my work,
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Is I'll have kind of aliases, right?
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Like UV, pip, install-r requirements on TXT
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Like uv, pip, install-r requirements on TXT
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is just PIR, pip install requirements.
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outside virtual environments.
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But the difference is, in UV, you
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But the difference is, in uv, you
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have to opt in if you want to do something like install
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but to have some kind of cron job or background thing,
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if you just interact with UV, if it kind of kicked off
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if you just interact with uv, if it kind of kicked off
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sort of a background process that did its thing.
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And part of, I guess, evidence for this,
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too, is throughout the development of UV,
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too, is throughout the development of uv,
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there were multiple pull requests
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with Rough in that way.
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But for UV, it makes a lot of sense.
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But for uv, it makes a lot of sense.
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And it's been really cool to see.
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>>Since you're so UV-centric as well,
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it could be UV, VNV, --version.
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it could be uv, VNV, --version.
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>>Yeah, 100%.
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He thinks it'll become the default, and also points out,
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for those who don't UV, that pip require
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for those who don't uv, that pip require
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virtual V as an environment flag is in your RC files.

youtube_transcripts/460-dropbase-build-internal-tools-with-python.vtt

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And so that's really nice, basically anything.
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I think you were doing a previous UV, you were talking--
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I think you were doing a previous uv, you were talking--
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- Yeah, yeah, I was talking to Charlie Marsh

youtube_transcripts/476-unified-python-packaging-with-uv.vtt

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@@ -139,7 +139,7 @@ Because Ruff can do a lot of different things, and so you don't need to chain to
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to get the kind of setup that you might want to have in your Python projects.
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And so a lot of the things we've built with Ruff and with UV, they've had these kind of dual goals of being much faster,
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And so a lot of the things we've built with Ruff and with uv, they've had these kind of dual goals of being much faster,
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hopefully bringing in some interesting new features and functionality,
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And we have, well, you have announcements. I have things to discuss with you about them,
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about making that even easier. So that's why some of the big features of UV,
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about making that even easier. So that's why some of the big features of uv,
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for example, what if I don't have Python? Not a problem.
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I would say like we have like a parser and a lexer, you know, all that kind of stuff.
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And with UV, it's a lot more, how do we do IO really fast?
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And with uv, it's a lot more, how do we do IO really fast?
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Like we have a lot of networking, we're like reading and writing from disk a lot.
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Which means that we can achieve this really cool experience where the whole set of commands
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you need to create a Python application are like, you curl install UV,
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you need to create a Python application are like, you curl install uv,
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and then you just run like uv init --python, and we create a project for you,
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or the right version of Python.
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They can run a single shell command to get UV,
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They can run a single shell command to get uv,
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which uv can then manage itself.
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So anyway, a lot of work has gone into that.
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What if I just say UV, V, E, and V,
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What if I just say uv, V, E, and V,
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and I have no Python whatsoever?
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you don't need like a special like editor integration
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to use UV, like, you know,
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to use uv, like, you know,
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like PyCharm will just like let you use that virtual environment
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script, you can manage the dependencies in it
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with UV, you can run it. This is like super
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with uv, you can run it. This is like super
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useful. There's some interesting conversations

youtube_transcripts/477-spacy-nlp.vtt

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And that usually gets added to the poem.
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So Scikit Lego, which is a somewhat popular project
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So scikit-lego, which is a somewhat popular project
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that I maintain, there's another collaborator
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It's very easy to sort of share.
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Scikit Lego, by the way, I am gonna brag about that.
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scikit-lego, by the way, I am gonna brag about that.
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It got a million downloads.
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- What is Scikit Lego?
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- What is scikit-lego?
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- So scikit-learn has all sorts of components.
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for every single client I had.
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So Scikit Lego just started out as a place for me
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So scikit-lego just started out as a place for me
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and another maintainer just put stuff that we like to use.
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Like that's definitely, also,
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Scikit-Learn in particular has really done that super well.
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scikit-learn in particular has really done that super well.
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It is super easy.
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I'll just give a example.
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Scikit-Learn comes with a testing framework
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scikit-learn comes with a testing framework
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that allows me, a plugin maintainer,
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that do make it easy for me to guarantee,
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once my thing passes the Scikit-Learn tests,
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once my thing passes the scikit-learn tests,
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it will just work.
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- And stuff like that,
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Scikit-Learn is really well designed
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scikit-learn is really well designed
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when it comes to stuff like that.
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or is it still a real good choice?
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- I mean, I'm a Scikit-Learn fanboy over here,
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- I mean, I'm a scikit-learn fanboy over here,
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so I'm a defendant,
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but that's a little bit more in the realm of NLP.
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But Scikit-Learn is a little bit more in a tabular realm,
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But scikit-learn is a little bit more in a tabular realm,
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so like a example of something you would do with Scikit-Learn
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so like a example of something you would do with scikit-learn
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is do something like, oh, we are a utility company,
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that's where Scikit-Learn just still kind of shines.
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that's where scikit-learn just still kind of shines.
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And yeah, you can do some of that with PyTorch,
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but in my mind, it's still the easiest way to get started.
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For sure, it's still Scikit-Learn.
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For sure, it's still scikit-learn.
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- Yeah, you don't want the LLM to go crazy

youtube_transcripts/481-python-opinions-and-zeitgeist-with-hynek.vtt

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it's super,
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without uv,
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it's been really challenging.

youtube_transcripts/489-excel-toolbox-and-more.vtt

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the client side tools.
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Whether it's UV,
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Whether it's uv,
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whether it's pip,

youtube_transcripts/496-scaf-deploys-yt.vtt

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That can be tricky when you're working in a container world.
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pip-tools compile in the container in the target environment of where this is going to be deployed

youtube_transcripts/496-scaf-deploys.vtt

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but your pip-tools compile in the container,
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and you were the one who convinced me to switch over to uv,
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uh,

youtube_transcripts/503-youtube-pyarrow-revolution.vtt

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It's like, you know, if you start using UV, you're like, oh, my God, I can't
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It's like, you know, if you start using uv, you're like, oh, my God, I can't
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believe.

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