Getting Started Using Jupyter Notebook

In this tutorial we go through the basics of using Jupyter Notebooks for Python programs. Also, we give examples of a few advanced concepts such as executing shell commands, autosaving, and timing execution.

Jupyter Notebook

Jupyter notebook is an open-source web application that you can use to share documents that contain live code, visualizations, equations, and text. It supports Julia, Python, and R. You can export a Jupyter Notebook to HTML, PDF, LaTeX, and Markdown (see Sharing and Publishing Jupyter Notebooks). Jupyter notebooks are widely used in the Data Science community for reproducibility and collaboration.

Installing Jupyter Notebook

To install Jupyter Notebook, you have two options:

• Run command pip.

  $ pip install jupyter
  

• Install Anaconda which contains many scientific libraries preinstalled.

  Note: This is recommended but not a must have.

Starting the Jupyter Notebook Server

To get started using the Jupyter Notebook Server, run command:

$ jupyter notebook

Resources

Here is a list of further resources:

• A gallery of interesting Jupyter Notebooks.
• Jupyter Notebook Tutorial: The Definitive Guide.