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jcbsv.net
| | vickiboykis.com
7.2 parsecs away

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| | 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.
| | janakiev.com
6.8 parsecs away

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| | Python's built-in venv module makes it easy to create virtual environments for your Python projects. Virtual environments are isolated spaces where your Python packages and their dependencies live. This means that each project can have its own dependencies, regardless of what other projects are doing.
| | www.mackorone.com
8.6 parsecs away

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| | www.junauza.com
55.2 parsecs away

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| Creating a simple Android app that calculates the amount of tip you have to pay at a restaurant is easy. Creating a fully functional mess...