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D**S
Very enjoyable
Engaging and well written. I'm learning and enjoying as I (slowly) go along. I was attracted to this book because it has lots of exercises with solutions. As an adult learner who has rediscovered math, this book is encouraging me to keep going. I really appreciate that. Layout is easy on the eyes, too.
S**L
The best introduction to Applied Category Theory for non specialists
This is the best introductory text on Applied Category I have seen. I am a software developer with a background in functional languages and without a strong maths education. This book has been extremely informative and helpful for me in connecting to Category Theory.The print edition looks great and is a high quality printing and binding.Highly recommended!
K**Y
less abstract nonsense
Even as a math person, pure category theory seemingly always went over my head. Fong & Spivak provide great examples that are "concrete" enough for me to get it.
J**A
Badly edited
The book is wonderful but, why do even pages have the margin on the left making the lines in those pages to almost get into the spine?
R**S
Dripping with pedagogy. ALL math books take notice: this is how it's done!
Oh, precious book!You functor my heart!Into a land of crisp pedagogyRight from the start!I needn't profunctorsTo decipher a messThat lurk inside yellow books tuckednext to my deskMy head is a tumultMy soul soaked beyondMany stones flipped and turn'd ov'rBy spivak and fong
O**M
Pulls functors into the mainstream
A huge improvement over all the other category theory books where all the examples are from 20th century pure math and all the morphisms are functions. Especially the last chapter.
M**M
Composition Theory
Category Theorists often joke that they work on Abstract nonsense but really what they work on is the study of compositionality which shows up computational graphs like circuits and neural networks and mathematical proofs. Learning Category Theory is a lot like learning programming, you’ll be able to express proofs in a much more succinct way after investing some time learning the new opaque terminology.
"**"
Mis-advertised?
I love math, but I am not a mathematician. I excelled in math in school, acing the highest high-school level class, and have been a mathematical tourist and to a lesser degree, an applied mathematician, ever since. I'm continually trying to broaden and deepen my math understanding. In life, I research biological pattern formation.Enough about me. The only relevance here is as a warning to those potential readers who love math but are not mathematicians. This book was advertised as high-school level; in the preface, the authors claim this book is suitable for motivated high school students who haven't seen calculus. I've studied multivariate calculus, dynamical systems theory, probability and measure theory. This book makes measure theory seem like a piece of cake. So, my main gripe is not the content of the book itself. It is the pitching of the book to an audience that, like myself, will find much of this book inaccessible. Or, it may be accessible, but the investment is likely to be huge for the uninitiated.The authors sell category theory as a "central hub" that provides a way to find commonalities and facilitate communication - a tool for thinking. Moreover, one of the book jacket reviewers commented that if your work requires thinking, this book is for you. These statements were why I bought the book. However, it is unclear to me from a first pass how the formalism of category theory provides advantages over other formalisms. For example, the authors state that Galois connections were first considered by Galois who called them field extensions and automorphism groups. OK, I'm familiar with that terminology. But the book recasts all the terminology into a new language. What is gained by doing this? Effectively, this book is a "new language book" that requires substantial effort to connect the terminology that you might have learned from high school mathematics to the language of category theory. The first chapter, for example, has 117 definitions, theorems, and exercises. Each, on average, presents at least 1 new concept, and, for me, most of the concepts involved new language. A snapshot from the first chapter includes: preorders (discrete, codiscrete, product, etc.), meets and joins, generative effects, total order, (left / right) adjoints, functors, adjunctions, closure operators, etc. The ideas are presented, then exercises requiring proofs follow suit. For the committed, there is enough information to learn the material, but for me, the book is not fulfilling its advertised promises. At least, not yet.Moreover, many of the examples (applications) seem contrived and over simplified. Being a biologist, the "tree of life" example was oversimplified and borderline false due to processes such as reticulate evolution. Applications are discussed in a few pages, then the standard math textbook format ensues: definitions, examples, theorems, proofs, ... The application ultimately takes backseat to the pure math, and connections from the pure math back to the application are often not made explicit in this book. The power of the pure math for application is not immediately evident, although advertised as an applied math book.Despite my concerns about the overwhelming content and the grandiose statements of what a reader will achieve by learning category theory, this book has many strengths. It is systematic in its presentation. Exposition is clear. The book provides answers to the exercises. The stated goals are amazing. Despite my misgivings, I plan to continue working and reworking (and reworking) through this book because even if there is a chance that I might achieve the advertised goals, then it will be worth it. I'm very far from that outcome.
TrustPilot
1 个月前
1天前