Yes, that's one of the most important success of the tool. Being in rust, it is completely independent from the Python setup, and therefore it doesn't care if you botched it. And with the indy greg build, it can even avoid the pyenv pitfall of compiling on your machine on linux.
1. You need to run export manual while other tools you mentioned would create it automatically (the lock file)
2. Distinguishes between direct dependencies (packages you added yourself) and indirect dependencies (packages of the packages)
As a non-native English speaker and not very familiar with vector database, the title seems very ambiguous to me. I understand it as Postgres as a GUI for some VectorDB. Upon closer inspection, I realized that "Postgres as a VectorDB" is a full name. Maybe shorten that thing to something else. Just my 2 cents.
Attacker sent a PR to the ultralytics repository that triggered Github CI. This results in
1) attacker trigger new version publication on the CI itself
2) attacker was able to obtain secrets token for publish to PyPi
This is where tools like poetry, uv with lock files shine. The lock files contains all transient dependencies (like pip freeze) but they do it automatically.
To further expand on your comment, the alveolar bone is porous so we use pilers on the tooth to compress the alveolar bone, making a big enough hole for the whole tooth to come out in one piece.
Molars have 2-3 roots so it is a lot of efforts. In difficult case, I would divide the tooth into sections to pull each root out.
One thing is using rapamycin for bone and soft tissue regrowth. The FDA recently approved a human study after previous research showed success in mice.
It's laboratory antibody serum from a specific human-sourced monoclonal cell line.
Seems to work on all mammals (notably both nice and ferrets; I'm told their teeth system is widely different evolutionary and that humans are kinda in the middle).
A human study should be ongoing on some children in Japan that for genetic reasons are missing a few adult teeth (never grew).
It depends much more on the quality of the code and how it’s structured. I feel pretty confident that you would find uv easier to maintain than either pip or poetry despite the first two being Python code.
I think people need to appreciate that the number of developers interested in actually helping with free software maintenance is a subset of the number of developers. And when it comes to Python in particular, that subset is proportionally very small. That's just my anecdotal experience of similar projects in both ecosystems.
Python has been around for a long time and there were some attempts at creating a modern package manager for it. If it were feasible to create uv in Python, it would have probably happened by now.
There's a barrier of entry for the army of people who use Python but are not (and often have no interest in being) engineers/developers/programmers.
This is the modern equivalent of building key components in Visual C++ for use by Visual Basic people; it kept the unwashed masses away from things they could break.
I think that this is probably the only way you're ever going to fix the horrific experience of using Python in anger. Which is a good thing, Python's a great little language which is let down by being built on sand.
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