You have an application (developed by yourself or by someone else) that once worked beautifully.

In this case, you need to set up different so-called environments.Īside from this situation, there are more use cases when having additional environments might come in handy: These applications may need other versions of Python/packages than the ones you have been currently using. Then, most likely, you immerse yourself in this world, and download Python applications from GitHub, Kaggle or other sources.

When you start learning Python, it is a good starting point to install the newest Python version with the latest versions of the packages you need or want to play around with. So why exactly do you need Python environments? You might ask: shouldn’t I just install the latest Python version? Why you need multiple Python environments

If you’ve opened this article, chances are that you already know what Python is, why it is a great tool, and you even have a Python installed on your computer. Thus, my main motivation for writing this article was to help current and potential Python users to have a better understanding of how to manage such environments. I’ve been teaching it for quite some time now, and according to my experience, establishing Python environments is a challenging topic. I have over two decades of professional experience as a developer, I know a wide variety of frameworks and programming languages, and one of my favorites is Python.

Conda python