Introduction

Creating Data Science projects can be pretty straightforward. With the numerous resources available these days, it’s just a matter of choosing a development tool and kicking off your project.

Documentation is also easily available, in addition to several AI bots that will help you working through mostly everything you want to create.

However, as the projects start to become more complex and professional, there will be a need to start isolating projects from one another. Sometimes, modules that work well together in project A, may fail to run together in project B. Or a method with the same name in two different packages can generate confusion. I mean, a lot can happen in non-isolated environments.

That is when we will find the need to start isolating development environments. So, in this post, the idea is to show you a quick and easy way to create an isolated environment using Python and VS Code.

Let’s get to work.

Project Environments

As already mentioned, a development environment is an isolated “box” created inside your computer to…