maintaining docker vs conda-environment

Hi, I have been working in data science for some time and mostly using conda to manage my dev packages. However, as the number of packages grows, I constantly have issue keeping my packages "backward compatible" since conda tends to upgrade old packages when they are not compatible with new packages to be installed. And it tends to be a headache to sort out what the problem is when old code fails to run, and trying to "revert" to previous …

conda data data science datascience dev docker environment issue science upgrade