It has the big advantage that all packages installed in it won't affect the ones that come preinstalled with the OS, so they can be handled (updated, downgraded, removed, etc.) separately, effectively eliminating breakages of the main system due to unsatisfied dependencies, etc. Using the commands conda activate my_env and conda install python=3.8 you first tell conda to activate the virtual environment named my_env and then install Python 3.8 in it.Ī virtual environment is an environment (think of it as a special folder) that is used to install Python (or another supported language), as well as packages and their dependencies, independently from the main OS. 'fn': 'jupyterlab-3.6.1-pyhd8ed1ab_0.What you observed is correct and is exactly how conda is supposed to work. Windows) do not like single quotes, so using double quotes is safer.įinally, if you intend to use the output in a program, to avoid parsing the results one can use -json: conda search -c conda-forge -override-channels -json 'jupyterlab>=3.6' For example: conda search -c conda-forge 'jupyterlab>=3.5' Note that the most recent version is placed at the bottom of the list (they are sorted in ascending chronological order), so it can be found using tail -n1, e.g.: $ conda search 'conda-forge::*' | tail -n1 | awk '. Scikit-learn 0.22 p圓7hcdab131_1 conda-forge Scikit-learn 0.22 p圓7hcdab131_0 conda-forge

To trim down the long and slowly loading conda search output to just the (latest) version(s) appropriate for your environment, you can use MatchSpec filters, as documented here in conda Github repoįor example: $ conda search 'conda-forge::*' | tail -n5

Conda latest version