Install the classic data science ... install python=3.10.6 numpy=1.21.5 pandas=1.3.5 matplotlib=3.5.1 jupyterlab; I specified some particular versions of them to make the solving process more complicated. Export the list of packages and their versions with conda list. ... Check that the only active channel is conda-forge with $ conda config --show channels and $ conda config --get channels · Create a new environment with $ mamba create --name ... More on stackoverflow.com

Mamba is a community-driven fork of Conda First, I don't think mamba is a fork of conda, it's just a drop-in replacement (and it falls back on conda itself for unimplemented commands, i.e., ones that aren't performance sensitive). Second, conda itself is also community-driven. Both mamba and conda are open-source, and both were started by OSS-friendly software companies. with more up to date packages This is untrue/irrelevant. Mamba and conda are package managers that interface with the same package repositories. It seems like you're confusing/conflating mamba and the conda-forge package repository. conda-forge is IMO the more important thing to recommend---mamba AFAIK just provides better speed/QOL. Best practice is to avoid modifying the base environment I would more strongly admonish modifying the base environment. You can still use pip inside a mamba environment... but probably shouldn't One should always install from conda-forge when possible but there will always be packages that aren't available---not just ones too esoteric to have a conda-forge recipe but also packages installed from source, e.g. if you're developing a package or clone one from GitHub/etc. These days there's not much to worry about with using pip as needed---people shouldn't think they can't use conda if they have dependencies that aren't on conda-forge. A last note: throughout you refer to mamba when really you mean conda---most of the ecosystem is defined by conda/the way conda works. Again, for the most part mamba is just a performant, drop-in replacement for core functionality. EDIT: in my rush to post this I forgot to thank you for advocating for conda-forge and mamba! Guides like this are great to have. More on reddit.com

Subsequent package installations ... channel. miniconda is the Anaconda (company) driven minimalistic conda installer. Subsequent package installations come from the anaconda channels (default or otherwise). as for mambaforge, mambaforge-pypy3, miniforge, miniforge-pypy3, how do we choose which package to install? ... mamba* use the c/c++ implementation of the conda protocol "mamba" instead of the python implementation ... More on stackoverflow.com

I am trying to build a custom Docker Image using jupyter/datascience-notebook which is based off of jupyter/base-notebook I can see that mamba was used to install/configure conda environment for ju... More on stackoverflow.com