cascentric.blogg.se - Conda env list

Once you have conda installed on your machine, you can create your first conda environment:

You will also learn how to install Miniconda. For this textbook, we suggest that you use the Miniconda installation.ĭata Tip: In this lesson on installing conda, you will learn about the advantages of Miniconda vs Anaconda. Miniconda is predominately designed for users who know what packages they need and do not want or need the extra installations. It only contains critical packages and software such as the conda package manager and a basic Python environment. Miniconda, on the other hand, is a streamlined conda distribution. All of the installed packages can also lead to dependency conflicts as you install new packages. To do this, you have two main options: Anaconda and Miniconda.Īnaconda ships with a suite of libraries and software pre-installed, which makes it quite large (~3Gb). In order to create a conda environment, you first need to install an conda distribution. You will also learn how to install Python packages using the conda-forge channel.

On this page, you will learn how to create and work with conda environments. Previously in this chapter, you learned about conda environments and the difference between conda and pip.

Install a Python package in the terminal using conda.

To use a custom environment inside a job you must load the module and activate the environment inside your job submission script. If you created your conda environment at a custom location using -prefix option, then you can activate or deactivate it using the full path. To activate or deactivate an environment you have created: $ source activate MyEnvName Installing packages when creating your environment, instead of one at a time, will help you avoid dependency issues. To remove a package from an environment: $ conda remove -name MyEnvName PackageName To add packages to your environment: $ conda install -name MyEnvName PackageNames To remove unwanted environments: $ conda remove -name MyEnvName -all To see a list of your environments: $ conda env list To create an environment at a custom location: $ conda create -prefix=$HOME/MyEnvName python=3.8 PackageName -y By default environments are created and stored in the $HOME/.conda directory. Including the -y option lets you skip the prompt to install the package. You can include as many packages as you require separated by a space. The -name option specifies that the environment created will be named MyEnvName.

To create your own custom environment: $ conda create -name MyEnvName python=3.8 FirstPackageName SecondPackageName -y Many packages are pre-installed in the global environment. To use Conda you must load an Anaconda module: $ module load anaconda Conda is a package manager in Anaconda that allows you to create and manage multiple environments where you can pick and choose which packages you want to use.