conda#
To install conda, please go here.
conda – environment#
The conda Python package automatically incorporates environments.
Not only will it allow environments with specific packages, one can
also create environments with different Python versions. This can be useful if a specific
package requires a specific Python version.
Once an environment has been created, and sourced, all python commands only act in that environment.
An environment can be created using:
Note
One can list the available global environments (created with --name)
by executing conda env list.
conda create --name <name of env>
# create an environment named 'course-A' (in the global environment list)
conda create --name course-A
# alternatively the environment can be placed in a sub directory
conda create --prefix course-A
conda create --name <name of env>
# create an environment named 'course-A' (in the global environment list)
conda create --name course-A
# alternatively the environment can be placed in a sub directory
conda create --prefix course-A
conda create --name <name of env>
# create an environment named 'course-A' (in the global environment list)
conda create --name course-A
# alternatively the environment can be placed in a sub directory
conda create --prefix course-A
conda create --name <name of env>
# create an environment named 'course-A' (in the global environment list)
conda create --name course-A
# alternatively the environment can be placed in a sub directory
conda create --prefix course-A
Once created, one can use the environment by activating it.
Change course-A with the name of the environment.
# if the enviroment was created with --name:
conda activate course-A
# if the environment was created in a sub directory (--prefix):
conda activate .\course-A
# if the enviroment was created with --name:
conda activate course-A
# if the environment was created in a sub directory (--prefix):
conda activate .\course-A
# if the enviroment was created with --name:
conda activate course-A
# if the environment was created in a sub directory (--prefix):
conda activate ./course-A
# if the enviroment was created with --name:
conda activate course-A
# if the environment was created in a sub directory (--prefix):
conda activate ./course-A
Now every executed Python script will only use the packages installed
in the environment. Every conda install will only install/remove
packages in the environment.
To get out of the environment, simply run the command conda deactivate.
Below is a complete example of creating an environment using a specific Python version, installing a specific package, running a code using the environment, and getting out of it.
conda create --name numpy-env python=3.10
conda activate numpy-env
conda install "numpy=1.23"
python -c "import numpy as np ; print(np.__version__)"
conda deactivate
conda create --name numpy-env python=3.10
conda activate numpy-env
conda install "numpy=1.23"
python -c "import numpy as np ; print(np.__version__)"
conda deactivate
conda create --name numpy-env python=3.10
conda activate numpy-env
conda install "numpy=1.23"
python3 -c "import numpy as np ; print(np.__version__)"
conda deactivate
conda create --name numpy-env python=3.10
conda activate numpy-env
conda install "numpy=1.23"
python3 -c "import numpy as np ; print(np.__version__)"
conda deactivate