Download A Programmer's Introduction to Mathematics
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A Programmer's Introduction to Mathematics
Download A Programmer's Introduction to Mathematics
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About the Author
Jeremy Kun is a mathematician and software engineer at Google. He received his PhD in mathematics in 2016 from the University of Illinois at Chicago, and (as of 2018) he works for Google, as part of an organization that optimizes data center infrastructure and supply chains. He writes a blog at jeremykun.com, and you can find him tweeting about math at @jeremyjkun
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Product details
Paperback: 378 pages
Publisher: CreateSpace Independent Publishing Platform; 1 edition (November 27, 2018)
Language: English
ISBN-10: 1727125452
ISBN-13: 978-1727125450
Product Dimensions:
7.4 x 0.9 x 9.7 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
14 customer reviews
Amazon Best Sellers Rank:
#15,706 in Books (See Top 100 in Books)
Mathematics (the formal field) has often been a necessary but uncomfortable subject for me. As a programmer for 20+ years, I don't get much time to think about the underlying ideas from Mathematics in the many high-level libraries I use while pressed with deadlines. Dr. Kun bridges theory, notation, and implementation in a great format and has a delicate balance of explanation and example. This book elegantly takes advantage of the fact that most programmers already understand the ideas of variables, constants, functions, loops, and recursion and teaches from that perspective.I highly recommend "A Programmer's Introduction to Mathematics" to new or seasoned programmers who want to brush up on their mathematics, develop a new foundational understanding or never really enjoyed a coherent and practical education on it.
Let me start by saying I'm terrible at mathematics as a discipline... really, really terrible. Even so I seem to be able to handle the logic and some sort of practical application as a professional technologist. I bought this book in hopes of bridging the gap from programming and technology which I do reasonably well to mathematics so that both my programming and understanding of mathematics would advance. Some way into the book, I don't think that will happen. This could be me, but I think the book may be part of this, too.The basic premise of the book is great: teaching mathematics via relating it to what programmers already do. However, to me the book feels more like a refresher than an introduction. The material moves fast enough and makes some assumption that either the author was hoping would just be accepted without being understood by an introductory level reader or that the reader would already have had some prerequisite knowledge sufficient for understanding how those leaps came to be.The book has certainly made some concepts clear at a good understanding level even for me by employing the technique of its title's premise. It's really is a great approach. However, I don't think you'll do well with this book unless you have a good working knowledge/understanding of algebra, I think the book would likely hit a sweet spot for those that have taken or are taking courses in the covered subjects where it's just not sticking... this book may well bridge that sort of gap.For someone like me to review this book better... I'd need a good Chapter 0 for basic math refresher (it's been many decades since I last studied this stuff), particularly algebra... nothing in depth, but some good reminder exercises. Alternatively, let me know what the prerequisites really are for the reader. I know you have to assume some per-existing competency, but where that is would still be helpful for good expectation setting. Finally, in those areas where the book needs to move faster or make some of these knowledge leaps without explanation, maybe footnote it with where/how to find a more full explanation... good "for more" references would likely get me past the roadblocks I'm facing with the book.
Terrific book. I struggle with math notation. Having everything with clear explanation and python is very helpful. Reads quickly and aids comprehension.First time I’ve ever read about BigO and actually had it “clickâ€.I bought the PDF too.
The title is confusing. In no way is this an "introduction" to mathematics. There are some pretty cool topics covered, and I'll keep this around as a reference; however, it completely fails hard at introducing developers--who are light on math--to math. Have a math whiz handy to explain it to you.
Tl;dr This book needed an editor.I was quite excited for this book as a long time follower of Jeremy’s blog. In short, I’m disappointed. This book is more like a collection of blog posts.Admittedly I’m about 120 pages in, and I also read the chapter on multi variable/optimization as it’s my specialty—but so far, ugh.My biggest gripe is the poor writing style, and lack of editing. Many parts feel like stream-of-consciousnesses rambling about the author’s feelings about the topics, mixed with a similar presentation to any undergraduate textbook. The math is... fine, but in many places feels no different than the usual treatments.I also have been unimpressed by the programming flavor. I too am a software engineer from a math background—so little of the book so far plays of the software background to help inform.I think the author’s experience writing popular blog posts gave him the sense that he could magically write an excellent book. I personally think he missed the mark.I almost gave it 3 stars but due to the lack of good examples and the unnecessary adherence to “theorem-firstâ€, this gets a 2.
I was really excited to work through this book, but it has serious shortcomings that make me doubt the benefit of investing further time into it. Most egregious is the lack of answers for exercises. Kun's solution is to open up a Github repo where people can post issues for questions. It's a classic example of programmers/mathematicians failing to understand their users/audience. There are currently just four issues, but the second chapter alone has three times that amount of questions. I appreciate that the author provides reassurance that studying math takes everyone time and effort, but without any reference material I'm unable to determine whether or not that time and effort is well spent. Beyond that, I feel like there are still unmentioned expectations of knowledge that aren't addressed, and so I continue to feel like one big dummy despite my experience as a mid-career developer. Oh yeah, and typos abound. It's like the book itself is a minimum viable product.
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