I started my Python package management journey years ago using pip
, then more recently I embraced Anaconda and conda
more fully (particularly with the “conda-forge” repository) to resolve complex dependencies along with system/binary dependencies. Recently, when attempting to update our team’s standard Python docker image with the latest versions of the packages we use, and include some new ones, it appears that relying on conda
and conda-forge is untenable: I have been unable to resolve the appropriate set of versions for the scientific Python packages our team require for our work. I have moved back to pip
for packages which are not provided in the default Anaconda repository. pip
has and continues to make a number of improvements, and had no problem providing our extra dependencies.
I suspect there is some over-specifying of version requirements going on in conda-forge, failure to maintain the conda-forge package requirements, and/or out-of-date sets of standard binary dependencies on conda-forge. Whatever the cause, this really hampers my use of conda
for package management, since many of the packages we need are not available in the default Anaconda repo. So far, it’s pip
to the rescue…