#MACHINE LEARNING JUPYTER NOTEBOOK TUTORIAL CODE#
Code you write in the web app is sent through the server to the kernel.
we connect to the server through our browser and the notebook is rendered as a web app.
The central point is the notebook server. IPython is an interactive shell, similar to the normal python shellīut with the great features like syntax highlighting and code completion. Jupyter notebook is a brain chaild of IPython project started by Fernando Perez. Instead of imagining that our main task is to instruct a computer what to do, let us concentrate rather on explaining to human beings what we want a computer to do How Notebooks work With literate programming, the documentation is written as a narrative alongside the code. Notebooks are form of literate programming proposed by Donald Jnuth in 1984. However with notebooks, all of these are in one place and easily read toghether. 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?