Dear all, I've hacked together a Docker-based setup of PyMol (1.8.2.0), C.Hernandez' `ipymol` and Jupyter into a single codebase.
https://github.com/ocramz/jupyter-docker-pymol or you can just retrieve the image with `docker pull ocramz/jupyter-docker-pymol`. Big deal? Not really; it's just a convenient and portable way to run and interact with PyMol, for those who don't have access to a commercial license. Kind regards, Marco Zocca ------------------------------------------------------------------------------ Find and fix application performance issues faster with Applications Manager Applications Manager provides deep performance insights into multiple tiers of your business applications. It resolves application problems quickly and reduces your MTTR. Get your free trial! https://ad.doubleclick.net/ddm/clk/302982198;130105516;z _______________________________________________ PyMOL-users mailing list (PyMOL-users@lists.sourceforge.net) Info Page: https://lists.sourceforge.net/lists/listinfo/pymol-users Archives: http://www.mail-archive.com/pymol-users@lists.sourceforge.net
