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You are here		adamj.eu GitHub Actions: Faster Python runs with cached virtual environments - Adam Johnson
\|	\|	snarky.ca An experimental pip subcommand for the Python Launcher for Unix	4.9 parsecs away Travel
\|	\|	There are a couple of things I always want to be true when I install Python packages for a project: 1. I have a virtual environment 2. Pip is up-to-date For virtual environments, you would like them to be created as fast as possible and (usually) with the newest version	4.9 parsecs away Travel
\|	\|	vickiboykis.com Lauching a Jupyter notebook from within a virtual environment \| ??? Vicki Boykis ???	6.3 parsecs away Travel
\|	\|	When I'm working with Jupyter notebooks, I often want to work with them from within a virtual environment. The general best practice is that you should always use either virtual environments or Docker containers for working with Python, for reasons outlined in this post, or you're gonna have a bad time. I know I have. The workflow is a little long, so I thought I'd document it for future me here.	6.3 parsecs away Travel
\|	\|	scripter.co Saving Python pip dependencies ? A Scripter's Notes	8.1 parsecs away Travel
\|	\|	How I generated the Python dependencies file requirements.txt so that Netlify can install and run the HTML5 Validator before deploying this site.	8.1 parsecs away Travel
\|	\|	github.com GitHub - j6k4m8/frof: frof runs other frofs	72.4 parsecs away Travel
\|		frof runs other frofs. Contribute to j6k4m8/frof development by creating an account on GitHub.	72.4 parsecs away Travel