Anaconda, Conda, and Mamba

• Anaconda - full distribution of Python and R for scientific computing and data science, comes with Conda and preconfigured environments
• Conda - package and environment manager for Python and other langs
• Miniconda - minimal installer for Conda - smaller, faster, more flexible - can still install all packages
• Miniforge -like Miniconda but with additional repos and conda-forge is default
• Mamba - fast, drop-in replacement for Conda, designed to improve performance, especially when installing and resolving packages.

Full Anaconda install

wget https://repo.anaconda.com/anaconda3/Anaconda3-latest-Linux-x86_64.sh
bash Anaconda3-latest-Linux-x86_64.sh

Miniconda install

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh   # download
bash Miniconda3-latest-Linux-x86_64.sh                                       # install

conda init           # initialize
source ~/.bashrc     # source bashrc
conda update conda   # update
conda --version      # check

Install Miniforge

wget https://github.com/conda-forge/miniforge/releases/download/4.10.3-1/Miniforge3-Linux-x86_64.sh
bash Miniforge3-Linux-x86_64.sh
... normal conda steps ...

Conda Commands

conda create --name myenv              # create env
conda create --name myenv python=3.9   # create env with specific python version
conda create --name myenv numpy        # create env with package already installed
conda env remove --name myenv          # remove env ( after deactivate )

conda activate myenv                   # active env
conda deactivate                       # deactivate env

conda install numpy                    # install package
conda install numpy pandas scipy       # install multiple packages
conda remove numpy                     # remove package

conda list                             # list packages
conda info --envs                      # list envs

Repos:

• Anaconda repository
• conda-forge - community-driven repo

Envs located in one of these dirs:

• ~/miniconda3/envs/ # If using Miniconda
• ~/anaconda3/envs/ # If using Anaconda

Install Mamba

conda activate base
conda install mamba -c conda-forge
mamba --version

Mamba Commands

Almost the same as conda, some are the same:

mamba create --name myenv python=3.9
conda activate myenv  # Mamba uses the same activate command as Conda
mamba install numpy pandas
mamba env list