In my previous articles (Configuring Python Workspace and Configuring Python Workspace: Poetry), I have described how I use pyenv to create several virtual environments. With the lapse of time, the tools that you install in these environments become outdated and you need a tool to update them. I develop a pyenv plugin that updates all packages in all or particular pyenv environments and in this post I describe how to use it.
In the previous article, I have described my approach to configure Python workspace. I mentioned there that I do not use poetry because it “cannot be used to specify dependencies when you work with Jupyter notebooks”. However, people (@BasicWolf and @iroln) from the Russian tech website Habr recommended me to look at poetry closer, as it apparently can fulfil all my requirements. “Two heads are better than one”, and I started to explore this tool deeper. Indeed, I have managed to fulfil all my requirements with this tool but with some configurations. In this post, I describe how to configure it to meet my requirements and how to use it.