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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. | |
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www.cybershu.eu
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| | | | | If you work with Python, you probably need to activate a virtual environment to manage dependencies. Using a virtualenv requires activation each time you wan... | |
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www.integralist.co.uk
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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 ... | ||