Conda: Difference between revisions
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== | == Miniconda quick start guide == | ||
Here is a short guide to get you started. Feel free to use a different tag than "mymath". | Here is a short guide to get you started. Feel free to use a different tag than "mymath". |
Revision as of 11:58, 6 January 2022
Conda is a powerful package manager and environment manager. It has a large collection of packages that often are newer than what's installed on your system.
Conda packages are neatly contained under your home directory in an environment. Adding or removing packages does not require root access or server admin.
These Conda environments are most helpful when a package cant be installed globally because it could cause breakage with other users or when you need multiple versions of a package.
Getting started
See the Conda guide: https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html
I advise to go with miniconda because it's smaller without a bunch of extras you'll likely never use.
Miniconda quick start guide
Here is a short guide to get you started. Feel free to use a different tag than "mymath".
# Install wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.10.3-Linux-x86_64.sh bash ./Miniconda* # if: during the install you included the .bashrc tweak # then: you can re-login to have the conda command in your path without sourcing conda.sh # else: run the following script to update your PATH for this shell session source ~/miniconda3/etc/profile.d/conda.sh # now you can use the conda command. It's advised to create an environment for each project conda create --name mymath conda activate mymath # examples installing other packages: conda install mkl gcc_linux-64 conda install openblas conda install scipy numpy imageio ipython matplotlib # when in a fresh shell you can return to your environment using: source ~/miniconda3/etc/profile.d/conda.sh conda activate mymath