Project Jupyter is a comprehensive software suite for interactive computing, that includes various packages such as Jupyter Notebook, QtConsole, nbviewer, JupyterLab. This tutorial gives you an exhaustive knowledge on Project Jupyter. By the end of this tutorial, you will be able to apply its concepts into your software coding.

Audience

Jupyter notebook is a defacto standard interactive environment for data scientists today. This tutorial is useful for everyone who wants to learn and practice data science libraries of Python/R etc.

Prerequisites

This is not a tutorial to teach Python programming. It describes use of powerful interactive environment to use Python. We assume you have a good understanding of the Python programming language. If you are beginner to Python and other related concepts, we suggest you to pick tutorials based on these, before you start your journey with Jupyter.