---
product_id: 43033416
title: "No bullshit guide to linear algebra"
price: "$100.32"
currency: USD
in_stock: true
reviews_count: 8
url: https://www.desertcart.ec/products/43033416-no-bullshit-guide-to-linear-algebra
store_origin: EC
region: Ecuador
---

# No bullshit guide to linear algebra

**Price:** $100.32
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- **What is this?** No bullshit guide to linear algebra
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Review: Very helpful book - I skipped an intro linear algebra course and started with a more advanced course, and this book helped make that possible. I read it over break before the semester started and also referenced it throughout the semester, and it has been extremely helpful. I also have Gilbert Strang's textbook to help me out, and I like that for the most part, but it is not written as considerately. For some reason linear algebra books are written in a way that assumes you've already read the book and are re-reading it because they often refer to concepts not yet covered -- as if they are written for instructors rather than students. Strang is especially guilty of this, as if he is writing the book for his colleagues, telling them how to teach the course. Ivan Savov's book is much less guilty of this, and is more considerate to students learning concepts for the first time. Although the title has "No Bullshit" (I guess to appeal to students), there is actually more writing/explanation than is typical of math books, and I appreciate the care and patience and consideration of the writing. Other authors tend to have the attitude that students should just figure stuff out, but time is precious, and reading this book will save precious time. The only improvement I can think of is, more cross-referencing with page numbers. Sometimes concepts are introduced and then covered more in-depth later. Referencing to page numbers would be very helpful. I hope there will be a new edition of this very-well written and helpful book, with better cross-referencing. About the printed copy: I like hard copies for math books because I make lots of notes and refer back-and-forth between pages. This hard copy has nice quality paper and great print. But the binding is not great, and some pages have fallen out (it is a thick book with smallish pages so you have to bend the spine a lot to open it fully). So other than that I'm glad I got the hard copy. Since the cross-referencing is not great, an ebook version would have been less convenient, at least for this first edition. I highly recommend this book.
Review: Excellent for self-teaching - For years I have felt like a math tourist who couldn't speak the language. I could cut and paste code and could (usually) understand whatever results the computer spat out, but trying to read a blog post or paper explaining the algorithms just flummoxed me. Everything I tried (YouTube, college textbooks, blog posts) just confused me more. Then I stumbled upon this book and everything became clear. This is the only book I've found that can take you from absolute beginner to confident intermediate in just a few weeks. How? First, the title is the truth. There is not an ounce of filler in this whole book. Every section jumps right into the subject and walks you through step-by-step until you understand the whole thing. Nothing is left out, and everything is explained in clear, readable, conversational English. And there are none of these "guess my answer" games either. Every section is loaded with practice problems so you can check your learning, and the author doesn't cop out and only give the answers to a few of them. Every single problem is included in the answer key. He also has taken the time to point you to useful videos on YouTube that are relevant to the section's material, which is a huge time saver. Plus, he has several chapters showing real-life applications. I'm not enough of an expert to comment on the math quibbles some reviewers have found. This book isn't for them, it's for the rest of us. All I can say is after working my way through 50% of the book, I was able to build my own cosine similarity text search engine. From scratch. If you're looking to understand linear algebra and its applications, stop reading this review and buy the book. It has been a life altering experience (at least as far a math knowledge goes).

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #109,842 in Books ( See Top 100 in Books ) #5 in Analytic Geometry (Books) #15 in Linear Algebra (Books) #40 in Algebra & Trigonometry |
| Customer Reviews | 4.6 out of 5 stars 290 Reviews |

## Images

![No bullshit guide to linear algebra - Image 1](https://m.media-amazon.com/images/I/71ZQFbtXWBL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Very helpful book
*by S***9 on April 17, 2024*

I skipped an intro linear algebra course and started with a more advanced course, and this book helped make that possible. I read it over break before the semester started and also referenced it throughout the semester, and it has been extremely helpful. I also have Gilbert Strang's textbook to help me out, and I like that for the most part, but it is not written as considerately. For some reason linear algebra books are written in a way that assumes you've already read the book and are re-reading it because they often refer to concepts not yet covered -- as if they are written for instructors rather than students. Strang is especially guilty of this, as if he is writing the book for his colleagues, telling them how to teach the course. Ivan Savov's book is much less guilty of this, and is more considerate to students learning concepts for the first time. Although the title has "No Bullshit" (I guess to appeal to students), there is actually more writing/explanation than is typical of math books, and I appreciate the care and patience and consideration of the writing. Other authors tend to have the attitude that students should just figure stuff out, but time is precious, and reading this book will save precious time. The only improvement I can think of is, more cross-referencing with page numbers. Sometimes concepts are introduced and then covered more in-depth later. Referencing to page numbers would be very helpful. I hope there will be a new edition of this very-well written and helpful book, with better cross-referencing. About the printed copy: I like hard copies for math books because I make lots of notes and refer back-and-forth between pages. This hard copy has nice quality paper and great print. But the binding is not great, and some pages have fallen out (it is a thick book with smallish pages so you have to bend the spine a lot to open it fully). So other than that I'm glad I got the hard copy. Since the cross-referencing is not great, an ebook version would have been less convenient, at least for this first edition. I highly recommend this book.

### ⭐⭐⭐⭐⭐ Excellent for self-teaching
*by B***E on October 10, 2017*

For years I have felt like a math tourist who couldn't speak the language. I could cut and paste code and could (usually) understand whatever results the computer spat out, but trying to read a blog post or paper explaining the algorithms just flummoxed me. Everything I tried (YouTube, college textbooks, blog posts) just confused me more. Then I stumbled upon this book and everything became clear. This is the only book I've found that can take you from absolute beginner to confident intermediate in just a few weeks. How? First, the title is the truth. There is not an ounce of filler in this whole book. Every section jumps right into the subject and walks you through step-by-step until you understand the whole thing. Nothing is left out, and everything is explained in clear, readable, conversational English. And there are none of these "guess my answer" games either. Every section is loaded with practice problems so you can check your learning, and the author doesn't cop out and only give the answers to a few of them. Every single problem is included in the answer key. He also has taken the time to point you to useful videos on YouTube that are relevant to the section's material, which is a huge time saver. Plus, he has several chapters showing real-life applications. I'm not enough of an expert to comment on the math quibbles some reviewers have found. This book isn't for them, it's for the rest of us. All I can say is after working my way through 50% of the book, I was able to build my own cosine similarity text search engine. From scratch. If you're looking to understand linear algebra and its applications, stop reading this review and buy the book. It has been a life altering experience (at least as far a math knowledge goes).

### ⭐⭐⭐⭐⭐ Great book - should be part of anyone’s toolkit
*by L***A on June 2, 2024*

I keep coming back to this book. The writing style is clear and engaging, the examples are well paced. In all it means this is a great reference and learning guide for this subject. I’ve had a number of insights through this book and it’s examples that have been lacking elsewhere. Thanks to the author Ivan for spending the time to write it!

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*Product available on Desertcart Ecuador*
*Store origin: EC*
*Last updated: 2026-02-24*