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Conda is actively updated and means that you can install multiple python variations in managed venvs with no tedium of placing everything up your self. Binary extension pathing challenges may possibly have been solved in most of the anaconda managed dependency/pip chains it uses.
Sadly, developers make problems, and no code is perfect. So, you’ll have to have a testing process that helps you discover bugs and stay clear of getting them into output.
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@CharlieParker's Docker-centered respond to pointed me in the best direction for my use-scenario and this article it is considerably appreciated. On the other hand, as famous within the responses, you remain restricted to apt-get setting up a Edition of Python in the container based on the Ubuntu launch of your container.
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