Читать книгу Deep Learning for Physical Scientists - Edward O. Pyzer-Knapp - Страница 15

Jupyter notebooks provide a method to easily create interactive documents capable of hosting and running Python code. This is a great way to work for many scientific applications, allowing you to incorporate descriptive text alongside executable code – helping others to understand and reproduce your work. In this way, they are an excellent tool for collaboration, and can be used to build living documents in which code can be updated, and visualisations can be easily rerun with new data. To use Jupyter notebooks, you will need to first install Jupyter by running:

$> conda install notebook