All
Windows 10, 64bit, d/l Anaconda 2.5.0 with Python3, 64bit and installed it
After fresh installation i type conda list, and, among packages, I see duplicates like
jupyter 1.0.0 py35_1
jupyter-client 4.1.1 <pip>
jupyter-console 4.1.0 <pip>
jupyter-core 4.0.6 <pip>
jupyter_client 4.1.1 py35_0
jupyter_console 4.1.0 py35_0
jupyter_core 4.0.6 py35_0
Is it normal, and why some packages (not all of them, just a few) have duplicates (not quite, there is - vs _) both in conda and pip?
What will happen if I do pip uninstall jupyter-core?
What should be policy toward such packages?
It's a known problem with the output of conda. The packages are installed only once, but due to differing naming conventions, they are listed twice. There is a (now closed) bug report about it: https://github.com/conda/conda/issues/1237
When you ask conda for a list of packages, this is what happens (or used to happen):
conda knows which packages were installed with conda.conda calls pip under the covers to find packages that were installed outside of conda.pip lists all packages, regardless of where they came from.conda filters the output of pip by removing the packages installed with conda.Afaict, the problem is with conda-installed packages that contain an underscore. pip replaces underscores with hyphens in its output. Therefore, conda fails to detect that it's a package installed by itself, and lists it as installed by pip. Of course, conda also lists the package with its original, underscored name as installed by conda. Hence the duplicates.
Collected from the Internet
Please contact [email protected] to delete if infringement.
Comments