This WILL lead to broken environments and inconsistent behavior. Overrides the value given by conda config -show channel_priorityĭo not install, update, remove, or change dependencies. Package version takes precedence over channel priority. Packages in lower priority channels are not considered if a package with the same name appears in a higher priority channel Leftmost entries are tried first, and the fallback to repodata.json is added for you automatically This is used to employ repodata that is reduced in time scope. Conda will try whatever you specify, but will ultimately fall back to repodata.json if your specs are not satisfiable with what you specify here. Specify name of repodata on remote server. Identical to '-c local'ĭo not search default or. condarc channel_alias value will be prepended. You can use 'defaults' to get the default packages for conda. condarc are searched (unless -override-channels is given). They are given (including local directories using the 'file://' syntax or simply a path like '/home/conda/mychan' or './mychan'). This is mainly for use during tests where we test new conda source against old Python versionsįull path to environment location (i.e. Use sys.executable -m conda in wrapper scripts instead of CONDA_EXE. Repeated file specifications can be passed (e.g. To create a new environment from a myenv.Read package versions from the given file. $ conda env export -from-history > myenv.yml If you only want to include packages you explicitly installed, add -from-history flag when exporting. To export all packages in myenv environment:
Remove an environment $ conda remove -name myenv -all $ conda create -name myenv python=3.9 numpy=1.23.5 astropyĬlone an environment $ conda create -name myenvclone -clone myenv
To create a environment with specified python version and packages, run: $ conda create -no-default-packages -name myenv To crate a new environment without default packages, run: To crate a new environment myenv with default packages specified in previous section, run: Set default packagesĪdd create_default_packages section in ~/.condarc. Warning: Automatically activate base environment will break some applications that depends on system python, since the python in your conda environment will miss some dependencies.
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