Python Data Science Essentials - Third Edition

Conda for managing environments

If you have installed the Anaconda distribution, or you have tried conda by using a Miniconda installation, you can also take advantage of the conda command to run virtual environments as an alternative to virtualenv. Let's see how to use conda for that in practice. We can check what environments we have available like this:

>$ conda info -e

This command will report to you what environments you can use on your system based on conda. Most likely, your only environment will be root, pointing to your Anaconda distribution folder.

As an example, we can create an environment based on Python Version 3.6, having all the necessary Anaconda-packaged libraries installed. This makes sense, for instance, when installing ...