Allen B. Downey's Books

Think Stats

By: Allen B. Downey

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If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

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137

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1449313108

ISBN 13

9781449313104

Think Python

By: Allen B. Downey

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Think Python

By: Allen B. Downey

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies

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299

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1449332021

ISBN 13

9781449332020

Think Perl 6

How to Think Like a Computer Scientist

By: Laurent Rosenfeld,Allen B. Downey

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Think Perl 6

How to Think Like a Computer Scientist

By: Laurent Rosenfeld,Allen B. Downey

Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers—especially those who know Perl 5—will also benefit. Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters’ worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities. Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loops Understand commonly used basic data structures and the most useful algorithms Dive into object-oriented programming, and learn how to construct your own types and methods to extend the language Use grammars and regular expressions to analyze textual content Explore how functional programming can help you make your code simpler and more expressive

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492

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491980508

ISBN 13

9781491980507

Think Julia

How to Think Like a Computer Scientist

By: Ben Lauwens,Allen B. Downey

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Think Julia

How to Think Like a Computer Scientist

By: Ben Lauwens,Allen B. Downey

If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies

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301

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1492044989

ISBN 13

9781492044987

Think Complexity

Complexity Science and Computational Modeling

By: Allen B. Downey

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Think Complexity

Complexity Science and Computational Modeling

By: Allen B. Downey

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers

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159

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1449331696

ISBN 13

9781449331696

Modeling and Simulation in Python

An Introduction for Scientists and Engineers

By: Allen B. Downey

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Modeling and Simulation in Python

An Introduction for Scientists and Engineers

By: Allen B. Downey

Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math. Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.

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277

Publisher

No Starch Press

Published Date

ISBN 10

1718502168

ISBN 13

9781718502161

Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

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Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards

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251

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491929537

ISBN 13

9781491929537

Python for Software Design

How to Think Like a Computer Scientist

By: Allen B. Downey

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Python for Software Design

How to Think Like a Computer Scientist

By: Allen B. Downey

A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

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273

Publisher

Cambridge University Press

Published Date

ISBN 10

1139479229

ISBN 13

9781139479226

Think Python

How to Think Like a Computer Scientist

By: Allen Downey

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Think Python

How to Think Like a Computer Scientist

By: Allen Downey

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies

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292

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491939427

ISBN 13

9781491939420

Think Bayes

Bayesian Statistics in Python

By: Allen B. Downey

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Think Bayes

Bayesian Statistics in Python

By: Allen B. Downey

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start. Use your existing programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

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201

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491945435

ISBN 13

9781491945438

Think Stats

Exploratory Data Analysis

By: Allen Downey

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Think Stats

Exploratory Data Analysis

By: Allen Downey

Teaches the entire exploratory data analysis process using a single case study.--

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225

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491907371

ISBN 13

9781491907375

Probably Overthinking It

How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

By: Allen B. Downey

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Probably Overthinking It

How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

By: Allen B. Downey

An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doctor’s office, and in every sort of forecast, from the stock market to the weather. Blogger, teacher, and computer scientist Allen B. Downey knows well that people have an innate ability both to understand statistics and to be fooled by them. As he makes clear in this accessible introduction to statistical thinking, the stakes are big. Simple misunderstandings have led to incorrect medical prognoses, underestimated the likelihood of large earthquakes, hindered social justice efforts, and resulted in dubious policy decisions. There are right and wrong ways to look at numbers, and Downey will help you see which are which. Probably Overthinking It uses real data to delve into real examples with real consequences, drawing on cases from health campaigns, political movements, chess rankings, and more. He lays out common pitfalls—like the base rate fallacy, length-biased sampling, and Simpson’s paradox—and shines a light on what we learn when we interpret data correctly, and what goes wrong when we don’t. Using data visualizations instead of equations, he builds understanding from the basics to help you recognize errors, whether in your own thinking or in media reports. Even if you have never studied statistics—or if you have and forgot everything you learned—this book will offer new insight into the methods and measurements that help us understand the world.

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259

Publisher

University of Chicago Press

Published Date

ISBN 10

0226822591

ISBN 13

9780226822594

Think DSP

Digital Signal Processing in Python

By: Allen B. Downey

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Think DSP

Digital Signal Processing in Python

By: Allen B. Downey

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

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172

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"O'Reilly Media, Inc."

Published Date

ISBN 10

149193851X

ISBN 13

9781491938515

Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

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Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

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326

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O'Reilly Media

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ISBN 10

1492072478

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9781492072478

Think Complexity

Complexity Science and Computational Modeling

By: Allen Downey

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Think Complexity

Complexity Science and Computational Modeling

By: Allen Downey

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

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199

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1492040150

ISBN 13

9781492040156

Think Data Structures

Algorithms and Information Retrieval in Java

By: Allen Downey

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Think Data Structures

Algorithms and Information Retrieval in Java

By: Allen Downey

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

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157

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1491972343

ISBN 13

9781491972342

The American People

Creating a Nation and a Society

By: Gary B. Nash,Julie Roy Jeffrey,John R. Howe,Peter J. Frederick,Allen Freeman Davis

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The American People

Creating a Nation and a Society

By: Gary B. Nash,Julie Roy Jeffrey,John R. Howe,Peter J. Frederick,Allen Freeman Davis

An examination of the complex process of transformation in work organization, technology and labour and product markets that has occurred. The analysis moves between a broad appreciation of structural developments within the economies of the advanced industrial nations, and an in-depth study of enterprise and workplace. It is divided into four parts. The first part reviews the theoretical issues and debates raised by the growth of service industries and employment in the advanced industrial countries. Parts Two and Three are case studies of two service sectors - financial services and the National Health Service. Part Four relates the evidence to a broader appreciation of developments in management/workforce relations occurring in the service sector.

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1037

Publisher

Longman Publishing Group

Published Date

ISBN 10

0321094344

ISBN 13

9780321094346

The American People, Brief EDITION

Creating a Nation and Society, Volume I, Primary Source EDITION

By: Gary B. Nash,Julie Roy Jeffrey,John R. Howe,Peter J. Frederick,Allen F. Davis

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The American People, Brief EDITION

Creating a Nation and Society, Volume I, Primary Source EDITION

By: Gary B. Nash,Julie Roy Jeffrey,John R. Howe,Peter J. Frederick,Allen F. Davis

This Primary Source Edition provides 1 to 2 primary sources per chapter, tied to the chapter's content, with critical thinking questions for each source -- at no additional cost to your students. A condensed version of The American People, Seventh Edition, this engaging text examines U.S. history as revealed through the experiences of all Americans, both ordinary and extraordinary. With a thought-provoking and rich presentation, the authors explore the complex lives of Americans of all national origins and cultural backgrounds, at all levels of society, and in all regions of the country. A vibrant four-color design and compact size make this book accessible, convenient, and easy-to read.

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644

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Longman Publishing Group

Published Date

ISBN 10

0321466837

ISBN 13

9780321466839

Think Data Structures

Algorithms and Information Retrieval in Java

By: Allen Downey

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Think Data Structures

Algorithms and Information Retrieval in Java

By: Allen Downey

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157

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"O'Reilly Media, Inc."

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1491972343

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9781491972342

Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

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Think Java

How to Think Like a Computer Scientist

By: Allen B. Downey,Chris Mayfield

If you want to under computer science, but have no programming experience, this book is for you. Think Java starts with the most basic programming concepts and carefully defines every term when it’s first used. The authors then develop each new concept in a logical progression. Larger pieces like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters. This book is also concise. Each chapter is 12-14 pages and covers the material for one week of a college course. Rather than present a comprehensive presentation of Java, the authors instead focus on the tools of software design, starting with small functions and basic algorithms, and working up to object-oriented design. Readable: while most other books forget to define terms or introduce too much material at once, Think Java is careful to define all terms and present difficult topics gradually One concept at a time: breaks the topics that give students the most trouble into a series of small steps so that students can exercise new concepts before continuing Balance of language and concepts: the book is not primarily about Java, but uses Java examples to demonstrate software engineering concepts Think Java is appropriate as a textbook in an introductory college or high school class. The book is currently in use at several colleges, universities, and high schools. It’s appropriate for people learning Java as a first language, including students learning on their own and professionals who are retraining.

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260

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O'Reilly Media

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ISBN 10

1491929561

ISBN 13

9781491929568

Probably Overthinking It

How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

By: Allen B. Downey

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Probably Overthinking It

How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

By: Allen B. Downey

An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doctor's office, and in every sort of forecast, from the stock market to the weather report. Blogger, teacher, and computer scientist Allen B. Downey knows well that we have both an innate ability to understand statistics and to be fooled by them. As he makes clear in this accessible introduction to statistical thinking, the stakes are big. Simple misunderstandings have led to incorrect patient prognoses, underestimated the likelihood of large earthquakes, hindered social justice efforts, and resulted in dubious policy decisions. There are right and wrong ways to look at numbers, and Downey will help you see which is which. Probably Overthinking It uses real data to delve into real examples with real consequences, drawing on cases from health campaigns, political beliefs, chess rankings, and more. He lays out common pitfalls--like the base rate fallacy, length-biased sampling, and Simpson's paradox--and shines a light on what we learn when we interpret data correctly, and what goes wrong when we don't. Using data visualizations instead of equations, he builds understanding from the basics to help you recognize errors--whether in your own thinking or media reports. Even if you have never studied statistics--or if you have and forgot everything you learned--this book will offer new insight into the methods and measurements that help us understand the world.

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259

Publisher

University of Chicago Press

Published Date

ISBN 10

0226822583

ISBN 13

9780226822587

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