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Conda install package without removing others
Conda install package without removing others





conda install package without removing others
  1. #Conda install package without removing others software
  2. #Conda install package without removing others download

  • Once your conda environment is activated, you can download and install additional packages.
  • Consequently, you can use the conda activate command when one of the UITS-installed Anaconda modules is loaded. In 2022, UITS Research Technologies updated the Anaconda modules available on IU's research supercomputers to correctly manage conda initialization and base environment activation. For more about this issue and a workaround for local Anaconda or miniconda installations, see the Workaround for the conda init command below. It also makes it impossible to log in to Research Desktop ( RED).

    conda install package without removing others

    bashrc file that stop certain things from working on IU's research supercomputers in particular, it may break the conda activate command itself.

    conda install package without removing others

    UITS Research Technologies recommends not issuing the conda init command, because when it runs, it adds commands to your. To avoid having to issue the conda init command, use the source activate command instead. If you have installed your own local version of Anaconda or miniconda, issuing the conda activate command may prompt you to issue the conda init command. Upon activation, the environment name (for example, env_name) will be prepended to the command prompt for ~]$ Activate your conda environment on the command line, enter (replace env_name with the name and non-default path, if applicable, of the environment you created):.Use the -p option to specify the file path for example (replace username with your IU username):Ĭonda create -y -p /N/scratch/username/env_name pkg1 pkg2 pg3 Create the environment in another directory: If you are using multiple conda environments, consider installing them in your Slate-Scratch space.Create the environment in your home directory: The following saves the conda environment in your home directory space for example, on Carbonate, it will be saved to ~/.conda/envs.Ĭonda create -y -n env_name pkg1 pkg2 pg3.Replace env_name with any name you want for the environment, and replace pkg1 pkg2 pg3 with the name(s) of the package(s) you want to install. Create a conda environment using one of the following commands.

    conda install package without removing others

  • To load an Anaconda module, on the command line, enter:.
  • To unload the Python module, on the command line, enter:.
  • Anaconda uses Python but prefers its own installation consequently, if your user environment already has Python added, you first must unload that Python module and then load an Anaconda module:.
  • This displays the modules that are already loaded to your environment for ~]$ module listġ) gcc/6.3.0 3) quota/1.6 5) xalt/2.10.30 7) python/3.8.2
  • Check whether your user environment has a version of Python loaded already on the command line, enter:.
  • For this reason, conda environments can be large.

    #Conda install package without removing others software

    Within this environment, you can install and delete as many conda packages as you like without making any changes to the system-wide Anaconda module.Ĭonda will attempt to resolve any conflicting dependencies between software packages and install all dependencies in the environment. Create a conda environment and install packagesįollow the steps below to create a conda environment. Package managers are especially helpful in high-performance computer settings, because they allow users to install packages and their dependencies locally with just one command.įollowing are instructions for creating and activating a conda environment, and installing packages in your home directory space on any of the research supercomputers at Indiana University. Unlike pip, conda is also an environment manager similar to virtualenv.

  • Activate a previously created conda environmentĬonda is an open source package manager similar to pip that makes installing packages and their dependencies easier.
  • Create a conda environment and install packages.






  • Conda install package without removing others