Fans pick 100 books like Power in Numbers

The opening of this book about how public transport systems have been designed to get men where they need to go (to the city center for work) but not women where we often go (all over neighborhoods caring for people) just blew my mind.

I loved how Criado Perez challenges so many things we take for granted – like why you can go out with a client after work and expense your steak and drinks but not the babysitter you have to hire. Her explanations of how the world is basically designed for men helped me understand why the voice control system in my car never seems to understand me and why there’s always a line for the ladies’ room.

I love this novel for its hilarious, unique take on the rage-against-the-patriarchy trope. Elizabeth Zott, the novel’s lead, is a refreshing portrayal of a woman battling the world of mansplaining while doing it in the most stereotypically “female” way—cooking up a storm! As a chemist, her scientific breakdowns of how ingredients chemically react with one another make for many humourous moments on the page. 

This is a book that will have you hooting with laughter and rooting alongside the protagonist till the very end. It mirrored the frustrations I have often felt as a working woman and left me vindicated for the times I, too, have “behaved badly” in male company.

This is a beautiful science memoir, that tells the story of fellow Stanford professor Fei-Fei’s Li’s life.

It gives deep insights into the challenges of life in the United States, growing up as an immigrant from a loving but low-income home, and her rise to becoming one of the most important and influential AI leaders of our time. The interweaving of the story of the genesis of AI as a field and Fei-Fei as a scientist is fascinating and educative. 

Fei-Fei’s excitement for science and knowledge, combined with her commitment to family and relationships, makes for a delightful and inspirational read.

I love all of Eugenia’s books, she is a cool mathematician working to educate the public about real mathematics – a subject of deep explorations and connected ideas.

Eugenia shares the creativity in mathematics, and the importance of pushing against boundaries, including the gender boundaries that often stop girls and women going forward in STEM. Her playful use of mathematical ideas to disrupt the myths of narrow and inequitable mathematics and the dominance of men in the field, is so fascinating, especially for those of us perturbed by the inequities in STEM.

This is a great book for those who would like to love mathematics a little more than they do now.

Too Much Happiness, the title story in a 2009 collection by Alice Munro, is a fictionalised account of the last days in the life of mathematician Sofya Kovalevskaya.

What really grabbed me was the way Munro managed to express, with wonderful economy, the way that Kovalevskaya’s acceptance as a woman mathematician in the 19th century felt conditional – she won prizes but had to fight to get a job; if she travelled for work people would allude to the daughter at home who might need her: “a jab there, a suggestion familiar to her, of faulty motherhood”.

It’s a beautiful and poignant portrayal of a complicated, brilliant woman. 

This book has haunted me for years. For what is it, exactly, that gives it such enduring popularity? After all, it was first published in 1936, yet is still in print today. In his autobiography, Hogben remarks on the importance of eye-catching illustrations but speculates that its success may instead be because the book contains – most unusually for a 'popular' work – exercises and answers, making it more suitable for self-teaching. Whatever the real answer, his book must surely have something to teach anyone – like myself – who aspires to bring mainstream mathematics to life for the general public.

An enthralling, fictional description of a young scientist (Einstein) and his dreams/thoughts about space, time, relativity, and the nature of reality. The book fictionalizes Einstein’s dreams in 1905, his “Annus Mirabilis” (“Miracle Year”), in which he wrote four fundamental papers, including one on his theory of Special Relativity. While this is a work of fiction, the physics concepts are beautifully explained.

Leaving me equally tickled as it did in awe, Flatland is easily one of my favorite books of all time.

Delving into concepts quite difficult to think about, let alone explain in such a delightful way, it expanded my mind into not only a better understanding of ‘dimensions’ but also the possibility, and even, the probability, that there is much more in existence than our rather limited little human brains can comprehend.

As weird as it is wonderful, I found myself stopping at various points to either laugh or to try to explain to someone else (to their annoyance I’m sure!) the profound details it explained to me. And when it was all over I was left humbled, and pondered what greater beings there may be all around me, that I simply cannot see.

This book is not about computing, but it is relevant in an indirect way. I love this book, since it is written in such an engaging style and illustrates with many examples that math is not a dry subject to be practiced only by mathematicians but helps everyone to solve real-world problems. The book shows how important it is to be precise in describing problems and that applying a little mathematical rigor goes a long way in solving them. Ellenberg describes mathematics as the “extension of common sense by other means.” In a similar way, I view computer science as the extension of problem-solving methods (aka “algorithms”) by other means. 

Oakley is best known for her co-instruction of Learning How to Learn, one of the most popular Coursera courses that has had millions of students. This book offers a science-driven perspective for how to get good at math. Oakley walks her talk too, specializing in linguistics she only became a professor of engineering later, despite some difficulties with math.