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 plotly package


plotly is a package that works differently to most. To use this software, you must register with a username so that you are provided with an api_key (at https://plot.ly/). You then place the username and api_key in your script. At that point, you can use all of the plotly package features.

First, like all of the other packages, we need to install it:

npm install plotly

Once installed, we can reference the plotly package as needed. Using a simple script, we can generate a histogram with plotly:

//set random seed 
var seedrandom = require('seedrandom'); 
var rng = seedrandom('Jupyter'); 
//setup plotly 
var plotly = require('plotly')(username="<username>", api_key="<key>") 
var x = []; 
for (var i = 0; i < 500; i ++) { 
    x[i] = Math.random(); 
} 
require('plotly')(username, api_key); 
var data = [ 
  { 
    x: x, 
    type: "histogram" 
  } 
]; 
var graphOptions = {filename: "basic-histogram", fileopt: "overwrite"}; 
plotly.plot(data, graphOptions, function...