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janakiev.com
| | ljvmiranda.micro.blog

I'm now a uv convert. I haven't really updated my Python tooling and workflow for the past two years. In fact, I've been using the same workflow ever since I started working: python -m venv venv source /venv/bin/activate # While in venv pip install -r requirements.txt But there's a lot of limitations in this workflow. For example, I'm limited by the Python version installed in my machine or it's hard to just install ad-hoc dependencies for my one-off scripts.
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| | www.silveiraneto.net


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| | www.rasulkireev.com

How to set up a virtual environment for your Django Project, or any other Python project, for that matter.
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| | iscinumpy.dev

Poetry provides a all in one solution to Python packaging. I want to focus on why I was quite hard on Poetry in my last post, specifically on its default version capping and solver quirks, and also a few other negative things. This is a followup to Should you have upper version bounds, which you should read before this post.
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