Jupyter Notebook isn’t just a tool—it’s a game-changer for Python developers, data scientists, and anyone who likes their code interactive and visual. Whether you’re debugging a complex function or experimenting with creative data visualizations, Jupyter gives you the ability to test, document, and share your work seamlessly. In this post, we’ll cover installing Jupyter Notebook in a Python virtual environment and using it to run fun, RPG-inspired Python demos.

Why Use Jupyter Notebook?

Jupyter Notebook offers a range of benefits that make it indispensable for Python workflows:

Installing Python on macOS can feel a bit like navigating a maze of version conflicts and system dependencies. By using tools like pyenv and pyenv-virtualenv, you can streamline the process and avoid common pitfalls. In this guide, we’ll walk through setting up Python with Homebrew and Pyenv, with explanations of why each step is important and what’s happening under the hood.

Let’s get started.

Why Use Pyenv?

You might wonder why tools like pyenv are necessary when macOS already comes with Python pre-installed. Here’s the deal: