Jupyter Notebooks

Jupyter notebooks We have found the use of Jupyter notebooks to be a convenient way of sharing work and code in a compact and reproducible manner. Jupyter notebooks are easy to update and adapt over time compared to a static CD-ROM. 

Jupyter notebooks (previously known as IPython notebooks) are web applications that are best described as interactive documents containing code (i.e., written in a programming language such as Python), formatted explanatory text, interactive visualizations, and displayed mathematics, as shown in Figure C.l. 

We have found Jupyter notebooks to be very useful for the demonstration and dissemination of work, because they are... 

Jupyter notebooks are executed in a standard web browser, and many Jupyter notebook files may be downloaded off the Internet and run locally on a computer. Jupyter notebooks are supported on many operating systems (i.e., PC, Mac, and Linux), which further allows for easy cross-platform collaboration. 

As part of this book, we have created a number of Jupyter notebooks that assist in explaining core concepts in AR theory, as well as additional problems and demonstrations, which could not be included in the book. These files may be downloaded from the ARs companion website http // attainableregions.com. Additional information and important links related to the book may also be found on the Wiley website http //www.wiley.com. 

Figure C.l A Jupyter notebook describing convex hulls.

All of the required Python packages used in the companion Jupyter notebooks are included as part of the default Anaconda distribution, which makes for easy installation and setup from a single download. We highly recommend Anaconda for this reason. Anaconda supports a number of Python versions (2.7 and 3.5 at the time of writing), and it is updated frequently. Additional information about Anaconda may be found on the Continuum Analytics website. 

Instructions for downloading the Jupyter notebook example files can be found on the website. 

Download the notebook files to your computer and store them in a directory that is visible to the Jupyter notebook viewer. 

The default directory for Jupyter notebooks, installed by Anaconda, is found in your local user directory. The default directory can also be edited to your preference. 

For example, the default directory for Jupyter notebooks running Windows 7 is C Users User Name if the account name for the machine is User Name. ... 

A shortcut to the Jupyter notebook app should be installed by Anaconda. Launching the Jupyter notebook will open a new tab in your web browser displaying a file explorer that views the Jupyter notebook default path. 

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