5.0 / 5
We will cover the following tasks in 25 minutes:
Navigating the Jupyter Console and Dashboard
In this chapter, we will explore the various navigational features of the Jupyter notebook interface. From the console, we will launch the Python browser module and explore the Dashboard. Next, we’ll run an existing notebook, navigate through each option provided on the navigational interface.
Writing and Running code
Learn how to modify, add, delete, and run cells and understand why and how to restart or interrupt the kernel.
Working with External Code
Learn how Jupyter’s kernels makes it easy to incorporate external code from sources such as the Internet and command-line.
Beyond Plain Python
Learn how to use Jupyter-specific commands for interactive object introspection.
About the Host (Snehan Kekre)
Snehan hosts Machine Learning courses at Rhyme. He is in his senior year of university at the Minerva Schools at KGI, pursuing a double major in the Natural Sciences and Computational Sciences, with a focus on physics and machine learning. When not applying computational and quantitative methods to identify the structures shaping the world around him, he can sometimes be seen trekking in the mountains of Nepal.