homebrew-core VS pyenv

Is disabling the compromised repo the typical GitHub policy? My concern is there are monorepos used by package managers, like brew, that are a collection of thousands of projects [1]. These monorepos seem like a prime target for attack and if GitHub disables one because a malicious commit was merged then you've taken down an entire ecosystem.

[1] https://github.com/Homebrew/homebrew-core

> Correct. Though we do not appear to be affected, this revert was done out of an abundance of caution.

[1] https://github.com/Homebrew/homebrew-core/pull/167512

> right, but now you know even less about your setup when you some roadblock

This is the same with a binary though. And with homebrew, you can't follow patches or flags used or if they change.

- https://github.com/Homebrew/homebrew-core/blob/c964ad7fa53ad...

definitely be careful about using fortune in a corporate environment or public space if you don't know what dat files you are using or you might just get an extremely unwelcome surprise.

I was practicing a presentation and used to use "fortune" all the time. I forget exactly what it output but I remember being absolutely mortified about what could have happened if that had popped up during an internal company tech talk.

Kudos to brew for keeping unsuspecting people safe

https://github.com/Homebrew/homebrew-core/commit/3fb3c4c3e55...

I'm sorry to be asking this as I find it a bit silly, but it's blocking my PR [3], so could a few of you star the project on Github [1] to get my PR to run?

[1] https://github.com/laktak/chkbit-py

[2] https://brew.sh

[3] https://github.com/Homebrew/homebrew-core/pull/160018

For more information visit: pyenv repository

Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.

Python version manager pyenv

First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.

Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.

When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.