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

Node.js canvas package


The canvas package is used for generating graphics in Node.js. We can use the example from the canvas package home page (https://www.npmjs.com/package/canvas).

First, we need to install canvas and its dependencies. There are directions on the home page for the different operating systems, but it is very familiar to the tools we have seen before (we have seen them for macOS):

npm install canvasbrew install pkg-config cairo libpng jpeg giflib

Note

This example does not work in Windows. The Windows install required Microsoft Visual C++ to be installed. I tried several iterations to no avail.

With the canvas package installed on your machine, we can use a small Node.js script to create a graphic:

// create a canvas 200 by 200 pixels 
var Canvas = require('canvas') 
  , Image = Canvas.Image 
  , canvas = new Canvas(200, 200) 
  , ctx = canvas.getContext('2d') 
  , string = "Jupyter!"; 
 
// place our string on the canvas 
ctx.font = '30px Impact'; 
ctx.rotate(.1); 
ctx.fillText...