Notebooks are interactive computing environments that allow users to write and execute code, visualize data, and document their findings in a single document. They are particularly popular in data analysis, machine learning, and educational contexts due to their ability to combine code, output, and narrative text.

One of the primary advantages of notebooks is their usability for data analysis. They enable users to quickly explore datasets, visualize data, and document their progress, making it easier to understand and communicate findings. Additionally, notebooks are great for experimentation, allowing users to test different models and approaches in a flexible manner ³.

However, notebooks also have limitations. They are not well-suited for continuous integration or production environments, as they were primarily designed for exploration rather than automated workflows. This can lead to challenges in maintaining code quality and reproducibility when used in larger projects ³.

If you’re interested in creating your own notebooks, platforms like Kaggle and Google Colab provide user-friendly interfaces to get started ¹².