What Is a Jupyter Notebook

So, you are learning Python and maybe you've even written some cool scripts but you've seen all these notebooks around with explanatory text, data, images, and results. This is where Jupyter comes in, a jupyter notebook is like an interactive Python terminal that records every step of the way and allows you to add rich text along the way.

From the official docs: "Notebook documents contains the inputs and outputs of a interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving executable code with explanatory text, mathematics, and rich representations of resulting objects."

Installing With pip

Let's start by installing notebook with this command:

pip install notebook

After the install completes we can move on to running the command:

jupyter notebook

Running the jupyter notebook command will open a browser window to the notebook dashboard (as will following the links it sent back)

The Notebook Dashboard

The dashboard gives us an overview of our notebooks and kernels.

Creating Our First Notebook

From the dashboard we can click the new button and create our first Python 3 (ipykernel) notebook:

A new browser tab will open with a new notebook.

Let's name and save our notebook.

Adding Our First Blocks

Let's change the first block from a code block to a markdown block. Select the block and press the (m) key to change it's type to markdown, the (y) key will change it back into a code block.

Then add a code block and run it to see the output.

All of this is contained within the notebook. Let's go ahead and run all of our cells from the cell menu so that the markdown is also rendered.

Saving Our Notebook

Next I will save it as a notebook.

And lastly I uploaded it to GitHub to see it in all of it's glory.

Here is the link to the file on my GitHub. DAVESFIRSTNOTEBOOK.ipynb Until next time, DAVE.