Virtual environment on conda and make it a Jupyter kernel.

Creating a virtual environment for your projects is always a best practice. That ensures you do not corrupt your base environment and if something goes wrong you can always delete the virtual environment and make a new one. Here is the link where you can create a virtual environment with a python virtual environment package.

Python Virtual Environment for Data Scientist in 3 steps.

In this article, I am going to show you how to create virtual environments with conda and add to the jupyter kernel in 5 simple steps. As jupyter notebooks are an integral part of being a data scientist, where you explore and do experiments with your data.

For this article, I am going to install pycaret as an example.

Before we begin, make sure you have installed miniconda on your computer. If you want to know how to install miniconda, check my article below.