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Conda is a powerful package manager and environment manager that you use with command line commands at the Anaconda Prompt for Windows, or in a Terminal window for macOS or Linux. | |
Common Commands: | |
a. To see a list of all your environments, type: | |
conda info --envs | |
$conda info --envs | |
# conda environments: | |
# | |
base * /Users/Shravan/anaconda3 | |
WASBuild /Users/Shravan/anaconda3/envs/WASBuild | |
casestudy1 /Users/Shravan/anaconda3/envs/casestudy1 | |
b. Check the packages installed in casestudy1 | |
First you can switch to casestudy1 environment by doing this: | |
$source activate casestudy1 | |
Then list the installed packages by using this: | |
$conda list | |
To return back to base env, do this: | |
$source deactivate | |
c. Create a new environment deeplearning using casestudy1 as a template: | |
$ conda create --clone casestudy1 --name deeplearning | |
Source: /Users/Shravan/anaconda3/envs/casestudy1 | |
Destination: /Users/Shravan/anaconda3/envs/deeplearning | |
Packages: 110 | |
Files: 38 | |
# | |
# To activate this environment, use | |
# | |
# $ conda activate deeplearning | |
# | |
# To deactivate an active environment, use | |
# | |
# $ conda deactivate | |
d. Create a conda environment from .yml file | |
conda env create -f cvcourse_macos.yml |
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