There is also the corresponding miniconda/2/own module.
#Miniconda python 3.5 download install#
Add conda-forge to the list of channels you can install packages from. If you are using python provided by Anaconda distribution, you are almost ready to go. Miniconda2 can be installed in a similar way with: cdĬhmod u+x Miniconda2-latest-Linux-x86_64.sh conda create -n tensorflowproject python3.5 tensorflow ipython This command has a specific version for python and when this tensorflowproject environment gets updated it will upgrade to Python 3.5999999999 but never go to 3.6. A universal bundle with everything packed in and ready to use. Installing new packages (e.g. numpy) within your miniconda3 directory is as simple as: conda install numpy Once installed, you can set up the environment paths to your private version (with either install option) using: ml miniconda/3/own Ln -s /DFS-L/DATA/$(id -gn)/$USER/miniconda3 miniconda3Īs of 23-November-2020, this installs Miniconda3 4.9.2, which uses Python 3.8.5.
(See for additional info.)Įxample Install 1) Python3-based conda installed in the default $HOME/miniconda3/ directory: cdĬhmod u+x Miniconda3-latest-Linux-x86_64.shĮxample Install A) Same as option1, but installed to /DFS-L/DATA/$group/$user/miniconda3/ directory, with link in home directory (allows installing very large numbers of packages that would make your home directory go over quota): cd To let users customize a minimal Python environment that won't disturb others, we suggest installing the "Miniconda" version of the Anaconda Python distro. We will continue to install some basic ones in /sopt, but they are not likely to change after initial build.
As the packages in Python distributions can change rapidly, it is difficult to have a single, system-wide installation that is useful to everyone.
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