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I remain baffled about these posts getting excited about uv’s speed. I’d like to see a real poll but I personally can’t imagine people listing speed as one of the their top ten concerns about python package managers. What are the common use cases where the delay due to package installation is at all material? Edit to add: I use python daily
I remain baffled about these posts getting excited about uv’s speed. I’d like to see a real poll but I personally can’t imagine people listing speed as one of the their top ten concerns about python package managers. What are the common use cases where the delay due to package installation is at all material? Edit to add: I use python daily
> When a package says it requires python This is kind of fascinating. I've never considered runtime upper bound requirements. I can think of compelling reasons for lower bounds (dropping version support) or exact runtime version requirements (each version works for exact, specific CPython versions). But now that I think about it, it seems like upper bounds solve a hypothetical problem that you'd never run into in pra…
Not that I'd bother since uv does venv so well. But, "it's not all rust runtime speed" implies pip could be faster too.
Earlier quoted context omitted.
No, because Python itself will generate bytecode for packages once you actually import them. uv just defers that to first-import time, but the cost is amortized in any setting where imports are performed over multiple executions.
That sounds like yes? Instead of doing it once at install time, it's done once at first use. It's only once so it's not persistently slower, but that is a perf hit. My first cynical instinct is to say that this is uv making itself look better by deferring the costs to the application, but it's probably a good trade-off if any significant percentage of the files being compiled might not be used ever so the overall cos…
So... will uv make Python a viable cross-platform utility solution? I was going to learn Python for just that (file-conversion utilities and the like), but everybody was so down on the messy ecosystem that I never bothered.
In my view that was by far the biggest issue with Python - a complete deal-breaker really. But uv solves it pretty well.
The remaining big issues are a) performance, and b) the import system. uv doesn't do anything about those.
Performance may not be an issue in some cases, and the import system is ... tolerable if you're writing "a python project". If you're writing some other project and considering using Python for its scripting system, e.g. to wrangle multiple build systems or whatever than the import mess is a bigger issue and I would thing long and hard before picking it over Deno.
Earlier quoted context omitted.
Someone once told me a benefit of staffing a project for Haskell was it made it easy to select for the types of programmers that went out of their way to become experts in Haskell. Tapping the Rust community is a decent reason to do a project in Rust.
I'm my experience this is definitely where rust shined. The language wasn't really what made the project succeed so much as having relatively curious, meticulous, detail-oriented people on hand who were interested in solving hard problems. Sometimes I thought our teams would be a terrible fit for more cookie-cutter applications where rapid development and deployment was the primary objective. We got into the weeds al…
I genuinely can't understand why you suppose that has to do with the implementation language at all.
> When a package says it requires python This is kind of fascinating. I've never considered runtime upper bound requirements. I can think of compelling reasons for lower bounds (dropping version support) or exact runtime version requirements (each version works for exact, specific CPython versions). But now that I think about it, it seems like upper bounds solve a hypothetical problem that you'd never run into in pra…
I think the article is being careful not to say uv ignores _all_ upper bound checks, but specifically 4.0 upper bound checks. If a package says it requires python < 3.0, that's still super relevant, and I'd hope for uv to still notice and prevent you from trying to import code that won't work on python 3. Not sure what it actually does.
But if we accept that it currently ignores any upper-bounds checks greater than v3, that's interesting. Does that imply that once Python 4 is available, uv will slow down due to needing to actually run those checks?
I remain baffled about these posts getting excited about uv’s speed. I’d like to see a real poll but I personally can’t imagine people listing speed as one of the their top ten concerns about python package managers. What are the common use cases where the delay due to package installation is at all material? Edit to add: I use python daily
It is also really nice when working interactivly to have snappy tools that don't take you out of the flow more than absolutely more than necessary. But then I'm quite sensitive to this, I'm one of those people who turn off all GUI animations because they waste my time and make the system feel slow.