Jupyter Notebook for Beginners

Jupyter Notebook is an extremely powerful and useful tool for developing data analytics projects interactively.

In the previous lesson, you learned how to install Anaconda on your computer. This lesson will walk you through how to use Jupyter Notebook for data science projects.

Opening Jupyter Notebook

Jupyter Notebook can be opened through, first, the Anaconda Navigator and second, the command line or terminal. In the previous lesson, I showed you how to open Anaconda Navigator. In this lesson, I will show you how you can use the terminal to open Jupyter Notebook and create your notebooks.
Step 1: First, open a terminal or (cmd on Windows machines), create the python_for_analytics folder on your computer’s desktop, then use the following command to enter this directory.

Creating a Python File

Creating a new notebook for writing Python code is as simple as clicking the New button on the right side of the Jupyter Notebook dashboard and then selecting Python 3.

  • Within the cell, write the following markdown text:



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