In short, in most cases, conda covers all of what you would need, does some magic behind the scene so you don’t have to worry about environments, and has some great added benefits, like allowing you to define environment variables. It would be great if a tool could do all of this, wouldn’t it? This tool is conda. And then virtualenv to make sure you use the right package version… But what happens when you have projects in different python versions? You’d need to use pyenv (native Python version manager) to make sure you use the right version of python.

First, I am sure all of you have used the following: pip install īut how do we then keep track of the packages we installed and their version? This is where virtualenv (native Python environment manager) could come handy. Then comes the question: what should I use to create my environment? Python code is great, but being able to reproduce the code is even better! This is why all python projects should come with something that defines the packages and versions to be able to run that exact same code: an environment.

List conda environments