Contents

3.6. Summary

In this chapter, you learned about Jupyter notebooks. You learned what a Jupyter notebook is and why Jupyter notebooks are useful for problem solvers. This chapter showed how to install Jupyter notebooks on Windows, MacOS, and Linux.

Some specific operations with Jupiter notebooks were introduced:

  • Open a Jupyter Notebook

  • Rename a Jupyter Notebook

  • Write Python code in a Jupyter notebook code cells

  • Run Python code in a Jupyter notebook code cell

  • Write text in Jupyter notebook markdown cells

  • Use markdown syntax to produce formatted text, headings, lists, and tables

  • Save a Jupyter notebook

  • Download a Jupyter notebook in different file types

You also learned about special “magic” commands that can be used in a Jupyter notebook. The final section of the chapter detailed a couple of ways to get help when working with Jupyter notebooks.

3.6.1. Key Terms and Concepts

Jupyter

notebook

Jupyter notebook

kernel

iPython

IDE

text editor

markdown

execute

Anaconda Prompt

file browser

code cell

markdown cell

code block

inline code block

pipe character

hyperlink

LaTeX

HTML tag

.ipynb-file

.py-file

.md-file

magic commands

3.6.2. Python Commands and Functions

3.6.2.1. Jupyter Notebook Magic Commands

Command

Description

%matplotlib inline

Display plots in output cells

%run file.py

Run file.py and displays output

%pwd

Print the working directory file path

%ls

List contents of the current working directory

%precision

Set float point precision for pretty printing

%whos

List variables and types in the running kernel session

function?

Display help on a function

function??

Display source code of a function