Your visualizations would be in separate windows, any documentation would be in separate documents, along with the various scripts for functions and classes. Typically you’d be doing this work in a terminal, either the normal python shell or with IPython. You’ll find them being used for data cleaning and exploration, visualization, machine learning. Notebooks have quickly become an essential tool when working with data. The notebook is a web application that allows you to combine explanatory text, math quuations, code, and visualizations all in one easily sharable document.
In this blog post we will explore Jupyter Notebooks, where you will learn an easy and convineant way to create and share aĭocument that contains text, code, videos, equations and images What are Jupyter Notebooks?
0 kommentar(er)
