administrator-controlled installation to override the users’ configura- tion. See Administering a multi-user conda installation. The .condarc configuration file follows simple YAML syntax. The .condarc file see: # https://conda.io/docs/user-guide/configuration/use-condarc.html 1.5.3 Administering a multi-user conda installation By default, conda and all packages it installs, including Anaconda, are installed Deprecations/Breaking Changes • resolve #5922 prioritize channels within multi-channels (#5923) • add https://repo.continuum.io/pkgs/main to defaults multi-channel (#5931) 5.34.2 Improvements • add a channel priority

administrator-controlled installation to override the users’ configura- tion. See Administering a multi-user conda installation. The .condarc configuration file follows simple YAML syntax. The .condarc file see: # https://conda.io/docs/user-guide/configuration/use-condarc.html 1.5.3 Administering a multi-user conda installation By default, conda and all packages it installs, including Anaconda, are installed Deprecations/Breaking Changes • resolve #5922 prioritize channels within multi-channels (#5923) • add https://repo.continuum.io/pkgs/main to defaults multi-channel (#5931) 5.34.2 Improvements • add a channel priority

an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda 1.4. Configuration 63 conda Documentation, Release 23.3.1.post2+bdcba5dd0 1.4.4 Administering a multi-user conda installation By default, conda and all packages it installs, including Anaconda, are installed PATH values taking precedence over our entries. In the latter case, you do not. We do not recommend multi-user installs. Activation prepends to PATH. This only takes effect when you have the environment

an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda 1.4. Configuration 63 conda Documentation, Release 0.0.0.dev0+placeholder 1.4.4 Administering a multi-user conda installation By default, conda and all packages it installs, including Anaconda, are installed PATH values taking precedence over our entries. In the latter case, you do not. We do not recommend multi-user installs. Activation prepends to PATH. This only takes effect when you have the environment

PATH values taking precedence over your entries. In the latter case, you do not. We do not recommend multi-user installs. To activate an environment: conda activate myenv � Note Replace myenv with the environment an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda operations. This is useful for restricting the channels that conda can access, especially in enterprise or multi-user environments. The denylist takes precedence over the allowlist. If a channel is in both lists

PATH values taking precedence over your entries. In the latter case, you do not. We do not recommend multi-user installs. To activate an environment: conda activate myenv � Note Replace myenv with the environment an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda operations. This is useful for restricting the channels that conda can access, especially in enterprise or multi-user environments. The denylist takes precedence over the allowlist. If a channel is in both lists

PATH values taking precedence over your entries. In the latter case, you do not. We do not recommend multi-user installs. To activate an environment: conda activate myenv � Note Replace myenv with the environment an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda operations. This is useful for restricting the channels that conda can access, especially in enterprise or multi-user environments. The denylist takes precedence over the allowlist. If a channel is in both lists

an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda those older versions, you can add the free channel back into your defaults. 1.4.4 Administering a multi-user conda installation By default, conda and all packages it installs, including Anaconda, are installed PATH values taking precedence over our entries. In the latter case, you do not. We do not recommend multi-user installs. Activation prepends to PATH. This only takes effect when you have the environment

PATH values taking precedence over your entries. In the latter case, you do not. We do not recommend multi-user installs. To activate an environment: conda activate myenv Note: Replace myenv with the environment an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda terminal: conda config --set repodata_threads 2 In .condarc: verify_threads: 4 Administering a multi-user conda installation By default, conda and all of the packages it installs are installed locally

PATH values taking precedence over your entries. In the latter case, you do not. We do not recommend multi-user installs. To activate an environment: conda activate myenv Note: Replace myenv with the environment an administrator-controlled installation to override the users’ configuration. See Administering a multi-user conda installation. The .condarc file can change many parameters, including: • Where conda terminal: conda config --set repodata_threads 2 In .condarc: verify_threads: 4 Administering a multi-user conda installation By default, conda and all of the packages it installs are installed locally