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In this lesson, you’ll learn how to work inside Jupyter Notebook, the interactive coding environment we use throughout this Python crash course. We start by launching Jupyter from Anaconda Navigator, navigating the file system, and creating a dedicated folder to store your projects. You’ll then create your first notebook and explore how Jupyter uses cells to run code in small, manageable pieces—perfect for testing and learning.
We walk through running basic Python code, adding markdown notes, renaming and saving notebooks, and returning to the file browser. You’ll also learn how Jupyter uses kernels to execute code, how to shut them down to save system resources, and how reopening a notebook automatically restarts its kernel. These foundational skills ensure you can confidently create, organize, and run Python notebooks as you progress through the course.
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