余尚辉 b813422051 feat:init | 1 month ago | |
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__pycache__ | 1 month ago | |
cli | 1 month ago | |
installers | 1 month ago | |
specs | 1 month ago | |
README.md | 1 month ago | |
__init__.py | 1 month ago | |
__main__.py | 1 month ago | |
env.py | 1 month ago | |
pip_util.py | 1 month ago |
Provides the conda env
interface to Conda environments.
conda env
is included in conda
itself.
All of the usage is documented via the --help
flag.
$ conda env --help
usage: conda-env [-h] {create,export,list,remove,update,config} ...
positional arguments:
{create,export,list,remove,update,config}
create Create an environment based on an environment file
export Export a given environment
list List the Conda environments
remove Remove an environment
update Update the current environment based on environment file
config Configure a conda environment
optional arguments:
-h, --help Show this help message and exit.
environment.yml
conda-env allows creating environments using the environment.yml
specification file. This allows you to specify a name, channels to use when
creating the environment, and the dependencies. For example, to create an
environment named stats
with numpy and pandas, create an environment.yml
file with this as the contents:
name: stats
dependencies:
- numpy
- pandas
Then run this from the command line:
$ conda env create
Fetching package metadata: ...
Solving package specifications: .Linking packages ...
[ COMPLETE ] |#################################################| 100%
#
# To activate this environment, use:
# $ conda activate stats
#
# To deactivate this environment, use:
# $ conda deactivate
#
Your output might vary a little bit, depending on whether you have the packages in your local package cache.
You can explicitly provide an environment spec file using -f
or --file
and the name of the file you would like to use.
The default channels can be excluded by adding nodefaults
to the list of
channels. This is equivalent to passing the --override-channels
option
to most conda
commands, and is like defaults
in the .condarc
channel configuration but with the reverse logic.
name: stats
channels:
- javascript
dependencies:
- python=3.4 # or 2.7 if you are feeling nostalgic
- bokeh=0.9.2
- numpy=1.9.*
- nodejs=0.10.*
- flask
- pip
- pip:
- Flask-Testing
Recommendation: Always create your environment.yml
file by hand.