Skip to Content
Think Data Structures
book

Think Data Structures

by Allen B. Downey
July 2017
Beginner to intermediate
155 pages
3h 21m
English
O'Reilly Media, Inc.
Content preview from Think Data Structures

Chapter 7. Getting to Philosophy

The goal of this chapter is to develop a web crawler that tests the “Getting to Philosophy” conjecture, which I presented in “Search Engines”.

Getting Started

In the repository for this book, you’ll find some code to help you get started:

  1. WikiNodeExample.java contains the code from the previous chapter, demonstrating recursive and iterative implementations of depth-first search (DFS) in a DOM tree.

  2. WikiNodeIterable.java contains an Iterable class for traversing a DOM tree. I’ll explain this code in the next section.

  3. WikiFetcher.java contains a utility class that uses jsoup to download pages from Wikipedia. To help you comply with Wikipedia’s terms of service, this class limits how fast you can download pages; if you request more than one page per second, it sleeps before downloading the next page.

  4. WikiPhilosophy.java contains an outline of the code you will write for this exercise.

You’ll also find the Ant build file build.xml. If you run ant WikiPhilosophy, it will run a simple bit of starter code.

Iterables and Iterators

In the previous chapter, I presented an iterative depth-first search (DFS), and suggested that an advantage of the iterative version, compared to the recursive version, is that it is easier to wrap in an Iterator object. In this section we’ll see how to do that.

If you are not familiar with the Iterator and Iterable interfaces, you can read about them at http://thinkdast.com/iterator and http://thinkdast.com/iterable.

Take a look ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Everyday data structures

Everyday data structures

William Smith
Data Structures and Algorithms in Python

Data Structures and Algorithms in Python

Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser

Publisher Resources

ISBN: 9781491972373Errata Page