Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It 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, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
About the Author
About the Reviewer

Node.js d3 package

The d3 package has data access functionality. In this case, we will read from a tab-separated file and compute an average. Note the use of the underscore variable name for lodash. Variable names starting with an underscore are assumed to be private, although, in this case, it is just a play on the name of the package we are using, lodash, or underscore. Also, lodash is a widely used utility package.

The script we use is as follows:

var fs = require("fs");
var d3 = require("d3");
var _ = require("lodash");
//read in the animals file
fs.readFile("data/animals.tsv", "utf8", function(error, data) {
    data = d3.tsv.parse(data);
//display on screen
//compute the maximum weight
    var maxWeight = d3.max(data, function(d) { return d.avg_weight; });
//display the max on screen

This assumes we have previously loaded the fs and d3 packages using npm, as described in the previous script.

For this example, I created...