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. A better flow will depend on your need.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. This will install on activated envĪt the end of the day, conda is there to help you. Python -m pip install -r requirements.txtĪt any point, we can add packages in conda environment with # this will install requests to ml_api env. I will do: conda create -name ml_api python=3.7 -c conda-forge scikit-learn pandas For example, if I have a project with requirements.txt to be installed with pip but would like it to have pandas and scikit-learn from conda-forge. In fact, we often use a mix here and there.

create an environment, activate, install packagesĬonda install package_name another_packageĬonda create -n env_name python=3.8 package_name another_packageīoth methods are correct.

There are multiple ways to create and install packages using conda.

Conda install