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Jay Wengrow - A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

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A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills: summary, description and annotation

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Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for todays web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby.

Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. Youll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator.

Use these techniques today to make your code faster and more scalable.

Jay Wengrow: author's other books


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A Common-Sense Guide to Data Structures and Algorithms
Level Up Your Core Programming Skills
by Jay Wengrow
Version: P1.0 (August 2017)

Copyright 2017 The Pragmatic Programmers, LLC. This book is licensed to the individual who purchased it. We don't copy-protect it because that would limit your ability to use it for your own purposes. Please don't break this trustyou can use this across all of your devices but please do not share this copy with other members of your team, with friends, or via file sharing services. Thanks.

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf and the linking g device are trademarks of The Pragmatic Programmers, LLC.

Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein.

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Table of Contents
Copyright 2017, The Pragmatic Bookshelf.
Early Praise for A Common-Sense Guide to Data Structures and Algorithms

A Common-Sense Guide to Data Structures and Algorithms is a much-needed distillation of topics that elude many software professionals. The casual tone and presentation make it easy to understand concepts that are often hidden behind mathematical formulas and theory. This is a great book for developers looking to strengthen their programming skills.

Jason Pike
Senior software engineer, Atlas RFID Solutions

At university, the Data Structures and Algorithms course was one of the driest in the curriculum; it was only later that I realized what a key topic it is. As a software developer, you must know this stuff. This book is a readable introduction to the topic that omits the obtuse mathematical notation common in many course texts.

Nigel Lowry
Company director & principal consultant, Lemmata

Whether you are new to software development or a grizzled veteran, you will really enjoy and benefit from (re-)learning the foundations. Jay Wengrow presents a very readable and engaging tour through basic data structures and algorithms that will benefit every software developer.

Kevin Beam
Software engineer, National Snow and Ice Data Center (NSIDC), University of Colorado Boulder

Preface

Data structures and algorithms are much more than abstract concepts. Mastering them enables you to write more efficient code that runs faster, which is particularly important for todays web and mobile apps. If you last saw an algorithm in a university course or at a job interview, youre missing out on the raw power algorithms can provide.

The problem with most resources on these subjects is that theyre...well...obtuse. Most texts go heavy on the math jargon, and if youre not a mathematician, its really difficult to grasp what on Earth is going on. Even books that claim to make algorithms easy assume that the reader has an advanced math degree. Because of this, too many people shy away from these concepts, feeling that theyre simply not smart enough to understand them.

The truth, however, is that everything about data structures and algorithms boils down to common sense. Mathematical notation itself is simply a particular language, and everything in math can also be explained with common-sense terminology. In this book, I dont use any math beyond addition, subtraction, multiplication, division, and exponents. Instead, every concept is broken down in plain English, and I use a heavy dose of images to make everything a pleasure to understand.

Once you understand these concepts, you will be equipped to write code that is efficient, fast, and elegant. You will be able to weigh the pros and cons of various code alternatives, and be able to make educated decisions as to which code is best for the given situation.

Some of you may be reading this book because youre studying these topics at school, or you may be preparing for tech interviews. While this book will demystify these computer science fundamentals and go a long way in helping you at these goals, I encourage you to appreciate the power that these concepts provide in your day-to-day programming. I specifically go out of my way to make these concepts real and practical with ideas that you could make use of today.

Who Is This Book For?

This book is ideal for several audiences:

  • You are a beginning developer who knows basic programming, but wants to learn the fundamentals of computer science to write better code and increase your programming knowledge and skills.

  • You are a self-taught developer who has never studied formal computer science (or a developer who did but forgot everything!) and wants to leverage the power of data structures and algorithms to write more scalable and elegant code.

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