#python-packaging

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#virtual-environments #uv #stand-alone-applications #sqlite-backups #air-gapped-installation
Django
fromInfoWorld
4 days ago

Python isn't always easy

Creating stand-alone Python apps and reliably backing up SQLite databases is harder than expected, but Python provides tools to do both.
fromChriswarrick
2 months ago

I Wrote YetAnotherBlogGenerator

You might have noticed I'm not happy with the Python packaging ecosystem. But the language itself is no longer fun for me to code in either. It is especially not fun to maintain projects in. Elementary quality-of-life features get bogged down in months of discussions and design-by-committee. At the same time, there's a new release every year, full of removed and deprecated features. A lot of churn, without much benefit. I just don't feel like doing it anymore.
Software development
fromPythonbytes
3 months ago

Stack Overflow is Cooked

port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features: 🔍 Auto-discovers all listening TCP ports ⚡ One-click process termination (graceful + force kill) 🔄 Auto-refresh with configurable interval 🔎 Search and filter by port number or process name ⭐ Favorites for quick access to important ports 👁️ Watched ports with notifications 📂 Smart categorization (Web Server, Database, Development, System)
Python
Python
fromInfoWorld
7 months ago

How to manage Python projects with Poetry

Poetry is an all-in-one Python project manager providing deterministic dependencies, virtual environment handling, and simplified building, packaging, and publishing to PyPI.
Python
fromTalkpython
7 months ago

pyx - the other side of the uv coin (announcing pyx)

Pyx is a Python-native package registry that mirrors PyPI, works with pip and uv, and enables faster, more predictable installs via smart client-server cooperation.
Python
fromReuven Lerner
8 months ago

You're probably using uv wrong

Use uv via its project model to manage environments, Python versions, and dependencies rather than substituting it for pip or installing packages globally.
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