Anaconda memo

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Managing Conda and Anaconda

Verify conda is installed, check version

Get the version

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conda --version

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conda info

Update conda package and environment manager

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conda update conda

Update the anaconda meta package

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conda update anaconda

Managing Environments

Get a list of all my Anaconda environments

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conda env list

conda info --envs

# The above two commands are equivalent

Create an Anaconda environment

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conda create -n env_name

Create an Anaconda environment with a specific version of Python

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conda create -n env_name python=3.6

conda create --name env_name python=3.9

Create an Anaconda environment with a specific package

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conda create -n env_name scipy

# with a specific version of a package 
conda create -n env_name scipy=0.15.0

Create an Anaconda environment from an existing environment (fork / branch)

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conda create --clone <existing enviroment> -n <new environment>

Create an Anaconda environment from an environment.yml file

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conda env create -f environment.yml

# The first line of the yml file sets 
# the new environment's name.

Copy the Anaconda environment into an environment.yml file

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conda env export > environment.yml

In order to create an Anaconda environment file manually, see https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#create-env-file-manually

Activate an Anaconda environment to use it

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conda activate env_name

Deactivate the Anaconda environment

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conda deactivate

Delete an Anaconda environment

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conda env remove --name env_name

Installing python packages

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conda install [PackageName]

If you encounter the error PackagesNotFoundError: The following packages are not available from current channels, do the following:

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conda config --append channels conda-forge

conda-forge is a GitHub organization containing repositories of conda recipes. Thanks to some awesome continuous integration providers, each repository automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX.

If a package cannot be easily installed with pip because of issues with system libraries (e.g. version of gcc), a possible solution is to install the package with conda, which is less dependent on system libraries.

Troubleshooter

References

  • https://kapeli.com/cheat_sheets/Conda.docset/Contents/Resources/Documents/index
  • https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment