On Sat, 1 Dec 2018 at 00:10, Henrique Castro <henrique...@outlook.com> wrote: > > Dear colleagues, > Soon I'll start to use one of the powerful computers on my university as a > tool in my Ph.D. The computer does not have an internet connection and I need > to find a way to install a conda environment on it.
When you say that you need to install a conda environment I imagine that what you mean is you need to install some Python packages and you think the easiest way is to install a conda environment. Is that correct? Having used a similar setup at my University the situation we have is that there is a big cluster with thousands of nodes that don't have internet access but there is internet access on certain nodes called the "login nodes" which you can ssh into. They have a filesystem that is shared with all other nodes which means you can use git, pip etc to get your code set up and working before submitting a job to be run on the main cluster. Is that not the case for the setup you're using? Also the setup we have actually provides many Python versions and packages: I just have to activate them with a command that's something like "module activate python-3.6 python-3.6-numpy ...". The other aspect of our setup is that it is well equipped with compilers, scientific libraries etc. so that it's usually straight forward to compile e.g. numpy from source with "python setup.py install". I don't know if I could also just transfer manylinux wheels in there to avoid compiling as well... So there are potentially a number of ways of achieving what you want. With the information you've provided so far, I'm not clear what the best way forward is. The first question is why is it that you want a conda environment? -- Oscar _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
