Fans pick 34 books like The Golem

By Harry M. Collins, Trevor Pinch,

Here are 34 books that The Golem fans have personally recommended if you like The Golem. Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.

When you buy books, we may earn a commission that helps keep our lights on (or join the rebellion as a member).

Book cover of Superior: The Return of Race Science

Alan H. Goodman Author Of Racism, Not Race: Answers to Frequently Asked Questions

From my list on what race is (and is not).

Why am I passionate about this?

Studying anthropology and biology in the 1970s, I was in the perfect position to understand why race was not genetic. From that time on, I wanted everyone to know what race was and was not. But here we a half century later and most individuals in the US – and the world still believe that race is a valid way to divide individuals into biological groups, and worse, that race, rather than racism, explains differences in life circumstances. As a professor and president of the American Anthropological Association I have taught courses and helped with documentaries, museum exhibits, websites, articles, and books to dispel consequential myth about race and genetics.  

Alan's book list on what race is (and is not)

Alan H. Goodman Why did Alan love this book?

Superior by science journalist Angela Saini is based on source materials. In addition, it is animated by interviews with key scientists involved in the struggle to end race science. Saini weaves together stories that get at the more intimate details of, on the one hand, the persistence and continual reinvention of race and race science, and on the other, the work of individuals including Jonathan Marks and Jay Kaufman to move us all to better understanding why racism, not biological race, is the cause of inequalities in health and wealth. Superior is the most readable of all the books that focus on race and human variation.  

By Angela Saini,

Why should I read it?

3 authors picked Superior as one of their favorite books, and they share why you should read it.

What is this book about?

Financial Times Book of the Year Telegraph Top 50 Books of the Year Guardian Book of the Year New Statesman Book of the Year

'Roundly debunks racism's core lie - that inequality is to do with genetics, rather than political power' Reni Eddo-Lodge

Where did the idea of race come from, and what does it mean? In an age of identity politics, DNA ancestry testing and the rise of the far-right, a belief in biological differences between populations is experiencing a resurgence. The truth is: race is a social construct. Our problem is we find this hard to believe.

In…


Book cover of Social Sciences as Sorcery

Aubrey Clayton Author Of Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science

From my list on for data scientists trying to be ethical people.

Why am I passionate about this?

I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.

Aubrey's book list on for data scientists trying to be ethical people

Aubrey Clayton Why did Aubrey love this book?

This book is now 50 years old, but its message is as relevant and important now as when it was written. In a series of witty essays that border on rants, Andreski attacks much of social science as fluff obscured by technical jargon and methodology. In particular, he laments the growth of quantitative methods as an attempt to add objectivity to social science and make it appear “harder.” True objectivity is about more than mechanical number-crunching, he says; it’s about a commitment to fairness and resisting the temptations of wishful thinking – a challenge anyone who works with data concerning people and their lives should take seriously.

By Stanislav Andreski,

Why should I read it?

1 author picked Social Sciences as Sorcery as one of their favorite books, and they share why you should read it.

What is this book about?

"Seldom have the social sciences been subject to quite so comprehensive, yet non-partisan, attack. There can be little doubt SOCIAL SCIENCES AS SORCERY is an uncomfortably important and embarassingly comprehensive book." -- Times Literary Supplement "Liberating!" -- Harpers "Andreski has written a new book that is certain to enrage his colleagues ... He documents his charges and spares few of the luminaries of social science in the process." -- TIME Magazine


Book cover of Biology as Ideology: The Doctrine of DNA

Aubrey Clayton Author Of Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science

From my list on for data scientists trying to be ethical people.

Why am I passionate about this?

I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.

Aubrey's book list on for data scientists trying to be ethical people

Aubrey Clayton Why did Aubrey love this book?

People need less Dawkins in their lives and more Lewontin, whose thought-provoking, accessible writing about evolutionary biology stands in fierce opposition to the trend toward genetic determinism that seems to be the rage nowadays. We are not simply our genes, Lewontin says, because the effects DNA has on our lives are mediated by social and environmental factors, many of which we can influence. While it’s nominally about biology, I also read this as a critique of causal inference, generally. What we consider a “cause” reveals our ideological commitments to certain aspects of the world being maintained, and we should be careful what causal lessons we draw from data.

By Richard C. Lewontin,

Why should I read it?

1 author picked Biology as Ideology as one of their favorite books, and they share why you should read it.

What is this book about?

Following in the fashion of Stephen Jay Gould and Peter Medawar, one of the world's leading scientists examines how "pure science" is in fact shaped and guided by social and political needs and assumptions.


Book cover of Data Feminism

Aubrey Clayton Author Of Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science

From my list on for data scientists trying to be ethical people.

Why am I passionate about this?

I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.

Aubrey's book list on for data scientists trying to be ethical people

Aubrey Clayton Why did Aubrey love this book?

If you’ve never thought of “intersectional feminism” or “the gender binary” as essentially data-scientific terms, please allow this book to correct that. Data science is a locus of power, and that power can be wielded in the service of oppression or liberation. This book raises essential questions about the predominantly white, male, technocratic interests served by the traditional narratives of data analysis and what feminism and data science have to offer each other. Bottom line: the data doesn’t speak for itself, never has, and never will.

By Catherine D'Ignazio, Lauren F. Klein,

Why should I read it?

1 author picked Data Feminism as one of their favorite books, and they share why you should read it.

What is this book about?

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In…


Book cover of People Skills for Analytical Thinkers

Jeremy Adamson Author Of Minding the Machines: Building and Leading Data Science and Analytics Teams

From my list on for data science and analytics leaders.

Why am I passionate about this?

I am a leader in analytics and AI strategy, and have a broad range of experience in aviation, energy, financial services, and the public sector.  I have worked with several major organizations to help them establish a leadership position in data science and to unlock real business value using advanced analytics. 

Jeremy's book list on for data science and analytics leaders

Jeremy Adamson Why did Jeremy love this book?

Since data science is, at its core, people helping people make decisions, it is essential that we can establish productive relationships with our stakeholders. This is a skill that needs to be given the same level of effort as we give to coding or statistics. Gilbert’s book is a great resource to help technically oriented people to advance their people skills.

By Gilbert Eijkelenboom,

Why should I read it?

1 author picked People Skills for Analytical Thinkers as one of their favorite books, and they share why you should read it.

What is this book about?

"For the engineer, scientist, or technology professional seeking to communicate better in the business world, this is the book you've been craving your entire career!" ”
— Douglas Laney, Innovation Fellow, West Monroe, and best-selling author of "Infonomics"

Your analytical skills are incredibly valuable. However, rational thinking alone isn’t enough.

Have you ever: Presented an idea, but then no one seemed to care? Explained your analysis, only to leave your colleague confused? Struggled to work with people who are less analytical and more emotional?

In these situations, people skills make the difference, and research shows these skills are becoming increasingly…


Book cover of Effective Pandas

Valliappa Lakshmanan Author Of Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning

From my list on if you want to become a data scientist.

Why am I passionate about this?

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

Valliappa's book list on if you want to become a data scientist

Valliappa Lakshmanan Why did Valliappa love this book?

Even if you are ultimately going to be working with terabytes of data, you’ll start out doing exploratory data analysis. The tool that you’ll use for that is most likely going to be Pandas. One of the best investments that you can make when becoming a data scientist is to become a Pandas expert, and there is no better book than Harrison’s to help you get there. Plus, many of the interview questions you will face during the hiring process will probably involve Pandas. Blow your interviewers out of the water by showing them corners of the Pandas library they didn’t even know!

By Matt Harrison,

Why should I read it?

1 author picked Effective Pandas as one of their favorite books, and they share why you should read it.

What is this book about?

Best practices for manipulating data with Pandas. This book will arm you with years of knowledge and experience that are condensed into an easy to follow format. Rather than taking months reading blogs and websites and searching mailing lists and groups, this book will teach you how to write good Pandas code.

It covers: Series manipulation Creating columns Summary statistics Grouping, pivoting, and cross-tabulation Time series data Visualization Chaining Debugging code and more...


Book cover of Competing on Analytics: The New Science of Winning

Jeremy Adamson Author Of Minding the Machines: Building and Leading Data Science and Analytics Teams

From my list on for data science and analytics leaders.

Why am I passionate about this?

I am a leader in analytics and AI strategy, and have a broad range of experience in aviation, energy, financial services, and the public sector.  I have worked with several major organizations to help them establish a leadership position in data science and to unlock real business value using advanced analytics. 

Jeremy's book list on for data science and analytics leaders

Jeremy Adamson Why did Jeremy love this book?

This is a foundational book on analytics and data science as a business function and helped to shape the development of the practice. It provides a view of the discipline through a business lens and avoids deep technical examinations. Though much has changed in the 15 years since it was originally published, it is still essential reading for a leader in the field. No book since has captured as well the competitive differentiation that analytics provides.

By Thomas H. Davenport, Jeanne G. Harris,

Why should I read it?

1 author picked Competing on Analytics as one of their favorite books, and they share why you should read it.

What is this book about?

You have more information at hand about your business environment than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new…


Book cover of The Black Swan

Neil Pasricha Author Of Two Minute Evenings: A Journal to Wind Down Your Day with Intention

From my list on create happy habits in your life.

Why am I passionate about this?

Hi, I’m Neil. We need to live our tiny, precious lives with intention. I write about failure, resilience, happiness, trust, and gratitude. I’m the New York Times bestselling author of 10 books and journals that have sold over 2,000,000 copies and spent over 200 weeks on bestseller lists, including The Happiness Equation, Two-Minute Mornings, and You Are Awesome. I host the award-winning, ad-free, sponsor-free podcast 3 Books, where I’m on a 22-year quest to uncover the 1000 most formative books in the world. Guests include Brené Brown, Quentin Tarantino, and David Sedaris. I give over 50 keynote speeches a year at places like Harvard, SXSW, and Microsoft.

Neil's book list on create happy habits in your life

Neil Pasricha Why did Neil love this book?

If I were teaching a course on life, this would be a mandatory textbook. Talib defines black swan events as events that 1) are disproportionately huge, 2) cannot be predicted, and 3) are mistakenly explained in retrospect with hindsight and fallacies.

This book helped me leave my corporate job and strike out on my own. Why? To help unroll the canvas of myself and my life, so I was more exposed to black swan events, leading me to write more books and have more unlikely, amazing experiences.

By Nassim Nicholas Taleb,

Why should I read it?

8 authors picked The Black Swan as one of their favorite books, and they share why you should read it.

What is this book about?

The most influential book of the past seventy-five years: a groundbreaking exploration of everything we know about what we don’t know, now with a new section called “On Robustness and Fragility.”

A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear less random, and more predictable, than it was. The astonishing success of Google was a black swan; so was 9/11. For Nassim Nicholas Taleb, black swans underlie almost everything about our world, from the rise of religions…


Book cover of Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

Naomi R. Ceder Author Of The Quick Python Book

From my list on to level up your Python skills.

Why am I passionate about this?

I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together. 

Naomi's book list on to level up your Python skills

Naomi R. Ceder Why did Naomi love this book?

I like this book not just because it’s a complete guide to the many ins and outs of data cleaning with Python, but also because David lays out the types of problems and the issues behind them. There are always trade-offs in data cleaning and this book lays out those trade-offs better than any other I’ve seen. This is one of the few books that as I go through it, I struggle to think of anything that could have been said better. 

By David Mertz,

Why should I read it?

1 author picked Cleaning Data for Effective Data Science as one of their favorite books, and they share why you should read it.

What is this book about?

Think about your data intelligently and ask the right questions

Key Features Master data cleaning techniques necessary to perform real-world data science and machine learning tasks Spot common problems with dirty data and develop flexible solutions from first principles Test and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description

Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the…


Book cover of Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Valliappa Lakshmanan Author Of Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning

From my list on if you want to become a data scientist.

Why am I passionate about this?

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

Valliappa's book list on if you want to become a data scientist

Valliappa Lakshmanan Why did Valliappa love this book?

It is not enough for a data scientist to be able to analyze data and build ML models. You have to be able to communicate the insights to decision-makers concisely and accurately. This book shows you bad and good visualizations — you’ll be surprised by how often you would have defaulted to the bad way without the guidance provided by this book!

By Claus O. Wilke,

Why should I read it?

1 author picked Fundamentals of Data Visualization as one of their favorite books, and they share why you should read it.

What is this book about?

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.

This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke…


Book cover of Superior: The Return of Race Science
Book cover of Social Sciences as Sorcery
Book cover of Biology as Ideology: The Doctrine of DNA

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