So, please use source activate command as we suggest above. But, please don't use conda activate command, because it will try to update your shell configuration file and it may cause other issues. To verify that a clone has been created, use the commandįor additional conda command documentation see Activate environmentīefore the created environment can be used, it must be activated.Īt the end of the conda create step, you may saw a message from the installer that you can use conda activate command for activating environment. For example, the following will create a Python installation with Python version 2.7 and NumPy version 1.16:Ĭonda create -n local python=2.7 numpy=1.16 Specific versions can be specified by adding = after the package name. For example, the following will create a minimal Python installation with only the specified packages (in this case, numpy and babel):īy default, conda will install the newest versions of the packages it can find. You can augment the command above by listing specific packages you would like installed into the environment. If you want to clone the full base Python environment from the system, you may use the following create command:Ĭreate New Environment with specific packages The following will create a minimal Python installation without any extraneous packages: Three alternative create commands are listed. These cover the most common cases. However, if you want to create your own python environment, we recommend using miniconda3 module, since you can start with minimal configurations.Ĭreate Python installation to local directory python modules are typically recommended when you use Python in a standard environment that we provide. python modules are based on Anaconda package manager, and miniconda3 module is based on Miniconda package manager. We use the name local for the environment, but you may use any other name. The following steps are an example of how to set up a Python environment and install packages to a local directory using conda.
If the specific package you are looking for is available from (formerlly ), you can easily install it and required dependencies by using the conda package manager. While our Python installations come with many popular packages installed, you may come upon a case in which you need an additional package that is not installed.
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