Book Image

Learning Jupyter 5 - Second Edition

Book Image

Learning Jupyter 5 - Second Edition

Overview of this book

The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Configuration options for Jupyter


You can configure some of the display parameters that are used when presenting Notebooks. These are configurable due to the use of a product (CodeMirror) to present and modify the Notebook. CodeMirror is a JavaScript-based editor for use within web pages (Notebooks).

The list of configurable options is still in development. Some of the options are as follows:

  • Line-separator: The character used to separate text lines
  • Theme: The overall theme of presentation used in the Notebook
  • Indent-unit: How many spaces to indent blocks of coding

To change the configuration of one of the options, you can open the JavaScript window of your browser, enter the coding to modify an option, and then load your Notebook. Then, the modifications you make will be applied to the Notebook presentation. There is further documentation on this, which is available at https://codemirror.net/doc/manual.html#option_indentUnit.

For example, to change the indentation (Indent-unit) for your Notebook, you would use the following JavaScript:

var mycell = Jupyter.notebook.get_selected_cell(); 
var cell_config = mycell.config; 
var code_patch = { 
      CodeCell:{ 
        cm_config:{indentUnit:2} 
      } 
    } 
cell_config.update(code_patch) 

You have now seen all of the standard operations that are available to you in a Jupyter Notebook.