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| | adamj.eu
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| | Most projects I work on use Python, good ol' Pip, and pip-tools. Below is a pattern I've used to speed up the GitHub Actions workflow runs on several such projects. On larger projects with many dependencies, it can save tens of seconds per run.
| | www.ethanrosenthal.com
1.9 parsecs away

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| | I make Python packages for everything. Big projects obviously get a package, but so does every tiny analysis. Spinning up a quick jupyter notebook to check something out? Build a package first. Oh yeah, and every package gets its own virtual environment. Let's back up a little bit so that I can tell you why I do this. After that, I'll show you how I do this. Notably, my workflow is set up to make it simple to stay consistent.
| | www.integralist.co.uk
2.9 parsecs away

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| | Introduction Virtual Environments Creating Virtual Environments Installing Python Versions Virtual Environments for multiple Pythons Shell Configuration Managing Dependencies Caching Dependencies Command Line Packages Introduction This blog post aims to demonstrate the most practical way to install multiple versions of Python, and of setting up 'virtual environments' for macOS userso We'll also dig into how to manage our project dependencies (e.g. we'll be discussing the classic Pip and requirements.txt ...
| | www.jeremymorgan.com
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| A step by step guide to setting up your Raspberry Pi to share files to every computer on your network.