I really like using conda (
miniconda) as my python virtual environment
manager of choice. It's simple and it includes its own python interpreter
using the version that I specify at creation.
from their readme
Mamba is a reimplementation of the conda package manager in C++.
- parallel downloading of repository data and package files using multi-threading
- libsolv for much faster dependency solving, a state of the art library used in the RPM package manager of Red Hat, Fedora and OpenSUSE
- core parts of mamba are implemented in C++ for maximum efficiency
At the same time, mamba utilize the same command line parser, package installation and deinstallation code and transaction verification routines as conda to stay as compatible as possible.
Similar to miniconda micromamba can be installed with a few lines of bash
wget -qO- https://micromamba.snakepit.net/api/micromamba/linux-64/latest | tar -xvj bin/micromamba ./bin/micromamba shell init -s bash -p ~/micromamba source ~/.bashrc
Creating new environments with micromamba is pretty similar to using conda.
micromamba create -n mamba-new python=3.9 -y -c conda-forge
I was unable to figure out how to configure channels to
micromamba, so I
needed to add
-c conda-forge to my commands.
__ __ ______ ___ ____ _____ ___ / /_ ____ _ / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/ / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ / / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/ /_/ WARNING No 'channels' specified Encountered problems while solving: - nothing provides requested python 3.9** ERROR Could not solve for environment specs
⚠ micromamba thows this error when
-c conda-forgeis missing from the create command.
micromamba is built for speed. I tried it out in a replit.com session, while it felt quite snappy creating a new environment was still within a few seconds of conda on subsequent environment creations. Their marketing says it should be faster, but for what I use conda for I didn't see it.
I used conda install years ago while on windows machines struggling to compile
c-extensions and install certain troublesome packages, but I haven't used a
conda install in years, pip works just fine for my use.