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Tip | ||||
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If you need to customise your Python environment, you may create a virtual environtment based on the installations provided. This may be useful if you need to use a newer version of a specific python package, but still want to benefit from the rest of the managed Python environment:
Then you can activate it when you need it with:
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The conda module
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