Notebook Introduction - 🐸#

How to Use this Notebook#

This notebook allows you to both follow the text and interact with the code directly.

At the top page, you will see:

icons at the top right corner of the screen

Select the icon on the left, the rocket ship:

rocket ship icon for running the notebook

Then go down to β€œLive Code”:

selecting Live Code

You should see at the top of the page a loading bar that cycles through mulitple states. loading bar, first cycle

loading bar, second cycle loading bar, thrid cycle loading bar, fourth cycle

Then, finally: loading bar, final cycle

Try this for yourself!

Here is a basic line in Python, after setting to Live Code. You can edit the Python code directly in the notebook πŸ˜€ πŸ˜€ πŸ˜€

2 + 2
4

Export to Binder or Google Colab#

As you can see you can also export these notebooks to Binder or Google Colab.

Binder or Google Colab options

This will take you to their respective websites but you can work with them there, if you would like!

References#

I know it tradition to have the refences at the end of books, but when you are standing on the shoulders of giants. You thank them first.

[GG16]

BΒ Granger and JΒ Grout. Jupyterlab: building blocks for interactive computing. Slides of presentation made at SciPy, 2016.

[Mun14]

Tamara Munzner. Visualization analysis and design. CRC press, 2014.

[Wic10]

Hadley Wickham. A layered grammar of graphics. Journal of Computational and Graphical Statistics, 19(1):3–28, 2010.

Thank you!#

Also, a huge thank you to Adam Lavely (adamlavely) for developing some of the intial notebooks!