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Algorithms for Dummies
Taschenbuch von John Paul Mueller (u. a.)
Sprache: Englisch

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Beschreibung
Your secret weapon to understanding--and using!--one of the most powerful influences in the world today

From your Facebook News Feed to your most recent insurance premiums--even making toast!--algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand--and even use--these powerful problem-solving tools!

In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself.

You'll also find:
* Dozens of graphs and charts that help you understand the inner workings of algorithms
* Links to an online repository called GitHub for constant access to updated code
* Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browser

Whether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.
Your secret weapon to understanding--and using!--one of the most powerful influences in the world today

From your Facebook News Feed to your most recent insurance premiums--even making toast!--algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand--and even use--these powerful problem-solving tools!

In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself.

You'll also find:
* Dozens of graphs and charts that help you understand the inner workings of algorithms
* Links to an online repository called GitHub for constant access to updated code
* Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browser

Whether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.
Über den Autor

John Mueller has published more than 100 books on technology, data, and programming. John has a website and blog where he writes articles on technology and offers assistance alongside his published books.

Luca Massaron is a data scientist specializing in insurance and finance. A Google Developer Expert in machine learning, he has been involved in quantitative analysis and algorithms since 2000.

Inhaltsverzeichnis

Introduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 448 S.
ISBN-13: 9781119869986
ISBN-10: 1119869986
Sprache: Englisch
Herstellernummer: 1W119869980
Einband: Kartoniert / Broschiert
Autor: Mueller, John Paul
Massaron, Luca
Auflage: 2nd edition
Hersteller: Wiley
Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, amartine@wiley-vch.de
Maße: 233 x 189 x 27 mm
Von/Mit: John Paul Mueller (u. a.)
Erscheinungsdatum: 03.05.2022
Gewicht: 0,61 kg
Artikel-ID: 120640810
Über den Autor

John Mueller has published more than 100 books on technology, data, and programming. John has a website and blog where he writes articles on technology and offers assistance alongside his published books.

Luca Massaron is a data scientist specializing in insurance and finance. A Google Developer Expert in machine learning, he has been involved in quantitative analysis and algorithms since 2000.

Inhaltsverzeichnis

Introduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

Part 1: Getting Started with Algorithms 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

Part 2: Understanding the Need to Sort and Search 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

Part 3: Exploring the World of Graphs 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

Part 4: Wrangling Big Data 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

Part 5: Challenging Difficult Problems 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

Part 6: The Part of Tens 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 448 S.
ISBN-13: 9781119869986
ISBN-10: 1119869986
Sprache: Englisch
Herstellernummer: 1W119869980
Einband: Kartoniert / Broschiert
Autor: Mueller, John Paul
Massaron, Luca
Auflage: 2nd edition
Hersteller: Wiley
Verantwortliche Person für die EU: Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, amartine@wiley-vch.de
Maße: 233 x 189 x 27 mm
Von/Mit: John Paul Mueller (u. a.)
Erscheinungsdatum: 03.05.2022
Gewicht: 0,61 kg
Artikel-ID: 120640810
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