This way I was able to free 20 to 30 GB of space. Build new environments which are need for current projects from the environment.ymls and check whether these work.įinally I also reduced my logical volume with but this is only for Linux users using LVMs.Install a new conda environment - miniconda3 in my case.Rename the old anaconda2 directory to anaconda2_backup.However, reducing or eliminating your virtual memory to free up drive space carries some risk of causing errors or system instability in cases where you would need more virtual memory but have. Use anaconda-clean from option B in and put the created backup in a save place. Users also want to reclaim space that is being 'wasted' if virtual memory is not being used, this especially happens with higher cost storage on an SSD.Check whether my projects still work with new environments created from the environment.yml.For all environments I used the conda env export > environment.yml to save the settings of the environment from For all my Python projects I use P圜harm and with it I checked which project uses which environment.On the flipside, users with the latest Mac devices may want to increase the size of their virtual machine(s) for a bigger value. Finally I got around dealing with this issue. Native hard drives fill up pretty fast, so with the default size of Parallels Desktop virtual machines (64 GB for most OSes), you might have to shrink your VM during or after setup.
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