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John Paul Mueller - Algorithms For Dummies

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John Paul Mueller Algorithms For Dummies

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Getting started. Introducing algorithms ; Considering algorithm design ; Using python to work with algorithms ; Introducing python for algorithm programming ; Performing essential data manipulations using python -- Understanding the need to sort and search. Structuring data ; Arranging and searching data -- Exploring the world of graphs. Understanding graph basics ; Reconnecting the dots ; Discovering graph secrets ; Getting the right web page -- Struggling with big data. Managing big data ; Parallelizing operations ; Compressing data -- Challenging difficult problems. Working with greedy algorithms ; Relying on dynamic programming ; Using randomized algorithms ; Performing local serach ; Employing linear programming ; Considering heuristics -- The part of tens. Ten algorithms that are changing the world ; Ten algorithmic problems yet to solve.;A primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science -- how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python.

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Algorithms For Dummies Published by John Wiley Sons Inc 111 River - photo 1

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Algorithms For Dummies

Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com

Copyright 2017 by John Wiley & Sons, Inc., Hoboken, New Jersey

Media and software compilation copyright 2017 by John Wiley & Sons, Inc. All rights reserved.

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

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Library of Congress Control Number: 2017936606

ISBN 978-1-119-33049-3 (pbk); ISBN 978-1-119-33053-0 (ebk); ISBN 978-1-119-33052-3 (ebk)

Algorithms For Dummies
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  1. Table of Contents
Guide
Pages
Introduction

You need to learn about algorithms for school or work. Yet, all the books youve tried on the subject end up being more along the lines of really good sleep-inducing aids rather than texts to teach you something. Assuming that you can get past the arcane symbols obviously written by a demented two-year-old with a penchant for squiggles, you end up having no idea of why youd even want to know anything about them. Most math texts are boring! However, Algorithms For Dummies is different. The first thing youll note is that this book has a definite lack of odd symbols (especially of the squiggly sort) floating about. Yes, you see a few (it is a math book, after all), but what you find instead are clear instructions for using algorithms that actually have names and a history behind them to perform useful tasks. Youll encounter simple coding techniques that perform amazing things that will intrigue your friends and certainly make them jealous as you perform amazing feats of math that they cant begin to understand. You get all this without having to strain your brain, even a little, and you wont even fall asleep (well, unless you really want to do so).

About This Book

Algorithms For Dummies is the math book that you wanted in college but didnt get. You discover, for example, that algorithms arent new. After all, the Babylonians used algorithms to perform simple tasks as early as 1,600 BC. If the Babylonians could figure this stuff out, certainly you can, too! This book actually has three things that you wont find in most math books:

  • Algorithms that have actual names and a historical basis so that you can remember the algorithm and know why someone took time to create it
  • Simple explanations of how the algorithm performs amazing feats of data manipulation, data analysis, or probability prediction
  • Code that shows how to use the algorithm without actually dealing with arcane symbols that no one without a math degree can understand

Part of the emphasis of this book is on using the right tools. This book uses Python to perform various tasks. Python has special features that make working with algorithms significantly easier. For example, Python provides access to a huge array of packages that let you do just about anything you can imagine, and more than a few that you cant. However, unlike many texts that use Python, this one doesnt bury you in packages. We use a select group of packages that provide great flexibility with a lot of functionality, but dont require you to pay anything. You can go through this entire book without forking over a cent of your hard-earned money.

You also discover some interesting techniques in this book. The most important is that you dont just see the algorithms used to perform tasks; you also get an explanation of how the algorithms work. Unlike many other books, Algorithms For Dummies enables you to fully understand what youre doing, but without requiring you to have a PhD in math. Every one of the examples shows the expected output and tells you why that output is important. You arent left with the feeling that something is missing.

Of course, you might still be worried about the whole programming environment issue, and this book doesnt leave you in the dark there, either. At the beginning, you find complete installation instructions for Anaconda, which is the Python language Integrated Development Environment (IDE) used for this book. In addition, quick primers (with references) help you understand the basic Python programming that you need to perform. The emphasis is on getting you up and running as quickly as possible, and to make examples straightforward and simple so that the code doesnt become a stumbling block to learning.

To help you absorb the concepts, this book uses the following conventions:

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